Data analyst internship jobs in Hillsborough, NJ

Title: AWS Data Analyst Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: Bachelor's degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles Proficiency in SQL, Python, or Scala for data transformation and processing. Working Knowledge of AWS services Proven experience in data analysis, business intelligence, or related roles. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

Structure: Unpaid internship. Approximately 20 hours per week In-Person Preferred but optional Hybrid Internship Duration: February 2 to April 26, 2026. Application Deadline: January 16th EOD About Diaza Diaza is one of the fastest-growing soccer brands in the USA, built on resilience, progression, and culture. We work with youth academies, grassroots clubs, semi-pro teams, and professional organizations across the United States and internationally. We are not a traditional sportswear brand. We view marketing as a system rather than a checklist. Our work prioritizes experimentation, learning velocity, and long-term scalability. We believe strong brands are built by people who think critically, understand culture, and are comfortable operating in uncertainty. About The Internship This internship is designed for students who want to understand how a new marketing department is built from the inside. This is not a corporate internship, and it is not task-driven. You will not be given step-by-step instructions for every assignment. Instead, you will be given frameworks, context, and real problems, and you will be expected to test ideas, learn quickly, document outcomes, and improve systems over time. Our internal model is simple: quantity through experimentation quality through intention and defined probability scale when both exist together This internship is built around that mindset. Internship Tracks This program includes multiple tracks - All are in small groups. All interns operate within the same department but focus on different areas. Applicants should indicate which track aligns best with their interests and background. 1. AI Experimentation and Creative Systems Track Foundational Track This is the most unique track and serves as the foundation for the others. This group focuses on testing AI tools within real creative and operational workflows. The goal is not to use AI randomly. The goal is to understand how systems behave, how outputs compound, and how repeatable processes are created. This group works closely together and semi-independently with minimal outside influence by design. What you will work on Experimenting with AI tools in marketing and creative workflows Applying and improving prompt engineering fundamentals Understanding how creative outputs connect to operational systems Documenting experiments, results, and patterns Building repeatable systems instead of one-off outputs Treating results as systems rather than randomness Who this is for Students with engineering, computer science, or technical backgrounds Students with multimedia or creative backgrounds who understand systems thinking Systematic thinkers with clear mental frameworks People who enjoy testing limits and learning through experimentation Cultural awareness is important, especially in soccer, the arts, and creative spaces Minimum basic prompt engineering knowledge is required. 2. PR and Brand Narrative Track This track focuses on shaping how Diaza is understood externally through storytelling, messaging, and narrative consistency. What you will work on Writing and research-driven brand storytelling Press releases, announcements, and brand positioning Connecting teams, jerseys, and moments into a larger narrative Market research across youth, academy, semi-pro, and emerging professional soccer Hybrid AI and human writing workflows Focus on maximum impact with minimal cost and minimal input Identifying underutilized or open digital spaces for brand presence Who this is for Strong writers and researchers Journalism, PR, or communications-focused students People who understand soccer culture beyond elite global clubs Applicants comfortable using AI to accelerate work without losing human tone People who care deeply about long-term brand integrity 3. Social Media+Community Track This track focuses on compounding growth rather than chasing trends. (Asynchronous) What you will work on Managing and engaging Diaza's social community Highlighting teams, players, and people changing the game Pattern recognition across platforms Understanding why content works, not just posting it Iterative testing of engagement strategies Who this is for Culture-fluent applicants Heavy social media users with strong intuition Doomscrolling is encouraged as research People are comfortable with repetition and refinement Not ideal for those seeking constant novelty 4. Content Creation Track High-Level Content Creators Portfolio required. Requirements Professional-grade camera equipment Strong fundamentals or interested in visual storytelling Experience in photography or videography Editing software familiarity is flexible Capture quality prioritized over heavy post-production Every frame must have intention Daily Content Creators Focus Short form and platform native content Working within existing systems to produce volume Experimenting with new content systems to increase output Creativity through constraints Thinking differently without always creating from scratch Quality and intention are expected even at scale Internship Time Structure and Commitment Approximately 20 hours per week Shared schedules within each track No schedule exceptions within a track Live collaboration is required A hybrid structure is allowed In-person participation prioritized Remote participation is considered when value is clearly demonstrated Important Notes This internship is unpaid This is an experimental "startup" environment We do not have all the answers You are expected to learn, test, and build alongside the team If you need full instructions for every task, this may not be the right fit If you want foundational guidance and the freedom to create, this is

About the Company Breckenridge Pharmaceutical develops and markets high-quality, added-value and cost-effective generic drugs in the United States. Our products are developed in the group's own R&D facilities and through strategic partnerships with manufactures from around the world. About the Role The Pricing Analyst plays a crucial role at Breckenridge and the growth of the organization by implementing pricing strategies to maximize revenue and ensure competitive pricing for the company's products across relevant classes of trade. This position requires expertise in pricing analysis, market dynamics and a strong business acumen. The analyst will be responsible for all pricing requests, market launches, ROFRs and all other pricing-related requests and will work with the Senior Manager, Pricing on full-line customer bids. Additionally, this role will collaborate with cross-functional teams including Sales, Supply and other internal stakeholders to drive profitability and market share. Responsibilities Execute pricing strategies aligned with the company's goals and market dynamics. Formulate pricing models and frameworks to optimize revenue. Analyze market trends, competitive landscape and product positioning to determine optimal pricing structures. Conduct thorough pricing analysis to evaluate product profitability, market demand and pricing trends. Identify opportunities for pricing optimization, cost efficiencies and revenue growth. Monitor and assess the impact of pricing decisions on business performance. Utilize pricing analytics tools and methodologies to analyze pricing performance, profitability and market trends. Generate reports, dashboards and presentations to communicate pricing insights to senior leaders and other stakeholders. Perform pricing reviews by Class of Trade to ensure competitiveness at all levels in order to drive additional sales and maximize profits. Perform regular WAC Analyses in order to optimize cash flow. Create and maintain weekly price change impact reports for various internal stakeholders ensuring that changes to the business are properly communicated. Qualifications Bachelor's degree in business administration, marketing, or a related field or equivalent combination of education and prior professional experience. Required Skills 3+ years proven experience in pricing, contracts or commercial operations, within the generic pharmaceuticals industry. In-depth knowledge of the pharmaceutical industry and market dynamics. Demonstrated ability to develop and execute successful pricing strategies. Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights. Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Strong business acumen, financial literacy and budget management skills. Proficiency in MS Office Suite. Highly proficient in MS Excel and MS Access preferred. Detail oriented and capable of managing multiple projects simultaneously. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. Pay range and compensation package At Breckenridge Pharmaceutical, Inc, we're committed to investing in every team member's total well-being, now and in the future. Our benefits programs vary but we offer the following to all BPI team members, regardless of geographic location: Flexible approach to how we work Health benefits and time-off programs Competitive compensation packages The anticipated annual salary for this role is $75,000 - 85,000. Equal Opportunity Statement Breckenridge Pharmaceutical, Inc is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Data Analyst Department: Client Operations Reports to: EVP, HUB Operations FLSA: Exempt The Corporate office operating hours are Monday through Friday 8:30 am - 5:00 pm EST. Primary Function: The incumbent is responsible for the data outreach, data capture/loading, and data reporting per specific program requirements. Job Scope and Major Responsibilities: Reach out to member pharmacies to gather missing data, clarify data inconsistencies, and offer technical assistance/expertise if necessary Identify, investigate, and resolve data anomalies using SQL or other statistical analysis software Ensure that Asembia's data reports meet program requirements and are delivered in a timely manner by making necessary changes to improve data accuracy Process daily/monthly/quarterly master data functions as assigned Provide ad hoc data analysis to internal and external parties as requested Append pharmacy data reports to the Asembia database using applicable data rules to ensure quality of input through various stages of the data-loading process. Communicate findings of data investigations and manage expectations for internal and external stakeholders The timely submission of accurate data to appropriate parties. Maintaining a high level of customer service for Asembia's customers - manufacturers and members' pharmacies. Successful collaboration with other Asembia team members to attain a common goal. Attendance and schedule adherence is critical. Adhering to company policies and procedures. Possess a professional demeanor, focused on respectful communication, a positive and reliable attitude, and responsible behavior. This includes dressing appropriately, being punctual, maintaining composure, and demonstrating accountability for your actions. Working outside of core business hours may be required. Other duties as assigned. Compliance with the provisions of the Health Insurance Portability and Accountability Act of 1996 and its implementing regulations, as amended (“HIPAA”). Qualifications: Bachelor's Degree required. B.A./B.S. Information Systems or similar field preferred. Minimum 2 years of experience working with pharmaceutical data in a team-driven environment Advanced Excel skills (building Macros, pivot tables & pivot charts, writing formulas, etc.). Proven track record with taking ownership of data investigations and seeing them through to resolution, preferably using SQL or other statistical analysis. The candidate must have client-facing experience and be able to articulate themselves clearly and concisely in their verbal and written communications. Excellent presentation and collaboration skills. Reliable and consistent attendance and schedule adherence is required. Asembia is committed to Equal Employment Opportunity (EEO) and to compliance with all Federal, State and local laws that prohibit employment discrimination on the basis of race, color, age, natural origin, ethnicity, religion, gender, pregnancy, marital status, sexual orientation, gender identity and expression, citizenship, genetic disposition, disability or veteran's status or any other classification protected by State/Federal laws .

Primary Duties & Responsibilities Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time. Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP). Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live. Conduct on-demand data analysis and visualization to fulfill dynamic business needs. Education & Experience A bachelor's degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field. 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities. Candidates with a moderately lesser experience may apply, who will be considered for a commensurately junior position. Skills & Other Requirements Modelling and analysis of complex and imperfect real-world data. Data visualization in Power BI, Tableau, or a similar platform. Functional knowledge of common data sources, such as SQL databases and Apache Parquet. Sound understanding of fundamental concepts in statistics. Ability to learn new concepts and skills fast. Knowledge in manufacturing, materials science, or natural sciences would be a plus. Excellent interpersonal and communication skills. Ability to align technical strategies to business objectives. Working Conditions Primarily office work on a computer. Occasional light tasks on the factory floor are possible. Physical Requirements Ability to sustainably work on a computer full-time. Ability to perform light physical tasks on factory equipment. Safety Requirements All employees are required to follow the site EHS procedures and II-VI Corporate EHS standards. Quality & Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at II-VI: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work

As a Data Scientist Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES * Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling. * Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks. * Help implement data quality checks, validation routines, and monitoring for automated data workflows. * Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices. * Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development. * Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake. * Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL. * Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets. * Participate in model development, including data profiling, model training, validation, and interpretation. * Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk. * Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value. * Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS * Currently pursuing or recently completed a Master's in Data Science, Computer Science, Statistics, Economics, or related field. * Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL. * Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment. * Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development. * Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred. * Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus. * Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects. * Strong analytical, communication, and problem-solving skills. * A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent". #LI-DNI

The Temporary Contracts Data Analyst will play a key role in supporting IEEE's Conferences, Events, and Experiences (CEE) department through detailed contract data analysis and accurate, compliant payment processing. This highly collaborative role works closely with both the Contracts and Finance teams to ensure that all contractual commitments and financial obligations are accurately captured, tracked, and fulfilled on time. The ideal candidate will combine strong analytical skills with exceptional attention to detail and a deep commitment to accuracy and compliance. This position is integral to ensuring that all executed contracts and associated payments align with IEEE policies, financial standards, and tax regulations. The role reports to the Senior Manager, Event Vendor Management & Contracting, and does not manage direct reports. This position works under minimal supervision. Key Responsibilities * Review and analyze executed hotel contracts within IEEE's centralized contract management system (CMS). * Identify, extract, and record key data points, including (but not limited to): * Room block details (dates, quantities, rates, review/release dates) * Food & Beverage minimums and review dates * Deposit schedules, payment terms, and due dates * Cancellation and attrition clauses, including tiered penalties and timelines * Concessions, rebates, commissions, and other negotiated financial terms * Special commitments, hotel obligations, or planner responsibilities * Enter all collected information into standardized tracking templates or internal reporting tools. * Flag missing, inconsistent, or ambiguous data for internal review and clarification. * Summarize relevant contract details to provide visibility for internal teams and conference organizers. * Partner with the Contracts team to ensure all commitments and deliverables are accurately reflected in tracking systems and communicated to stakeholders. * Collaborate closely with the Finance team to process and reconcile payments tied to executed agreements, ensuring that all disbursements align with contract terms and are fully supported by proper documentation. * Review and validate payment requests for vendors, speakers, and other payees to confirm accuracy, compliance, and proper authorization. * Maintain organized records of all contractual and payment data to support timely reporting and clear audit trails. * Proactively communicate with conference organizers and internal teams regarding payment status, missing documentation, or contract fulfillment requirements. * Support continuous improvement by identifying process gaps and recommending efficiencies in contract tracking and payment workflows. Qualifications - Education * Bachelor's degree or equivalent experience Work Experience * 2-4 years' experience preferred with contract negotiation and document review in a procurement capacity * 2-4 years' experience in a data analytics role Skills and Requirements * * Prior experience reviewing contracts or working with contract data strongly preferred. * Strong attention to detail and accuracy in data entry and analysis. * Excellent organizational and communication skills. * Proficient in Microsoft Excel, Word, and data tracking systems * Ability to work independently and manage multiple tasks in a fast-paced environment. * Excellent communication skills (verbal/written), time and project management skills, dedication to detail and the ability to work under pressure in a deadline driven environment. * Positive attitude and a supportive, team-based approach towards the attainment of departmental goals. * Must have the ability to represent the IEEE in a professional manner *

Job Description World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position's primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines Create and maintain comprehensive dashboards and reports for key performance indicators Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player. Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.) Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required. Bachelor's degree or foreign equivalent from an accredited institution. Preferred Qualifications Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query. Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform). Data Governance, Data Quality, Master Data Management knowledge. 3-5+ years of proven experiences as a data analyst 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc. Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments. Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit ************************************** for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World's property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World's Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR ZrwqzemlNu

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Clinical Development Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview The Clinical Development Data Science Intern will join Genmab's Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Master's or PhD in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology. The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions. You will collaborate with experienced data scientists, data engineers, clinicians, and other cross-functional partners to deliver meaningful analyses, prototypes, and decision-support tools used across clinical development. What You'll Do * Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text. * Support the development of AI-driven tools that: * Accelerate protocol design through information retrieval, extraction, and summarization. * Enhance pharmacovigilance and safety monitoring through risk modeling, anomaly detection, and severity prediction. * Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches. * Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts. * Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders. Required Qualifications, Capabilities and Skills * Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science, Data Science, Statistics, Physics, Computational Chemistry, Computational Biology, Applied Mathematics, Engineering, or related quantitative/technical field). * Master's students with strong applied experience will also be considered. * Strong proficiency in modern Python for machine learning and scientific computing (e.g., PyTorch/TensorFlow, scikit-learn, spa Cy, Hugging Face transformers, pandas, NumPy). * Candidates should be experienced in building modular scripts and reusable modules, command-line utilities, and structured codebases for data processing and machine learning workflows. * Experience applying ML or NLP methods to real-world datasets. * Ability to design, build, and evaluate computational models end-to-end. * Excellent analytical problem-solving abilities and intellectual curiosity. * Clear written and verbal communication skills. * High attention to detail, scientific rigor, and commitment to producing high-quality work. * Ability to work independently as well as collaboratively within interdisciplinary teams. Preferred Qualifications, Capabilities and Skills * Experience with large language models, retrieval-augmented generation (RAG), or generative AI workflows. * Prior work involving unstructured document parsing (e.g., PDFs, scanned text, scientific literature). * Full-stack data science skill set, including experience with: * Writing production-quality, modular, and reusable Python code * Building scalable, reproducible systems and packaging code for broader use * Containerization (e.g., Docker) and reproducible compute environments * Workflow or pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) * Cloud computing environments (AWS, Azure, GCP) * Experience using Git repositories and version-control workflows, including: * Branching strategies, pull requests, peer code reviews * Good commit hygiene and collaborative development practices * Familiarity with GitHub, GitLab, or similar platforms * Exposure to CI/CD, structured logging, automated testing, or other professional engineering practices. * Experience with MLOps concepts such as model packaging, monitoring, reproducibility, and deployment is a strong plus. General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ, and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You * You are genuinely passionate about our purpose * You bring precision and excellence to all that you do * You believe in our rooted-in-science approach to problem-solving * You are a generous collaborator who can work in teams with a broad spectrum of backgrounds * You take pride in enabling the best work of others on the team * You can grapple with the unknown and be innovative * You have experience working in a fast-growing, dynamic company (or a strong desire to) * You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

We help Procurement and Recruiting departments faced with the challenge of filling multiple IT-related openings for either long-term employment, or short-term projects. They need to find reliable candidates, with the right expertise, quickly and at the right cost to enable their company to remain competitive, and to increase profit and efficiency. Stefanini provides the IT contract resources you need to implement crucial projects, handle short-term assignments, or fulfill long-term placements. Our IT staffing services free you from the challenges of finding, recruiting, training and retaining high-quality professional staff, and allow you to focus on managing your business growth. We provide the ongoing skill development to ensure that professionals placed at your site are trained in leading technologies to support your information technology hardware, software, and network infrastructure. Augment your staff for short or long-term engagements, or for specialized expertise on specific projects. We have more than 25 years of staffing industry knowledge and can provide you with superior candidates to match your technical and professional needs. Job Description The person will be responsible for PO creation, performance of negotiations with help of team members, handling RFP process from bid to notifying vendors to awarding and all dealings in environmental services area. Qualifications Must have 4 year degree and a tech savvy individual 2 to 5 years of experience working in a corporate setting Knowledge in Engineering, licensing or permitting Experienced in SAP Additional InformationDuration: 10 Months

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job Description American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies. Responsibilities Include: Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud. Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards. Perform detailed research and investigation on alerts that are generated for potential fraud schemes. Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations. Build and maintain tools and/or processes to collect and track data and troubleshoot errors. Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated. Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program. Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management. Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions. Conduct research, work independently, and make complex investigation decisions. Develop strategies for the prevention and/or detection of internal and external fraud. Support development of new fraud tools, processes, and third-party provided services. Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules. Interpret data, analyze results using analytics, research methodologies, and statistical techniques. Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts. Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution. Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts. Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information. Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies. Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions. Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports. Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system. Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations. At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts. Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues. Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement. Assist with prompt resolution of complaints, questions, and problems. Maintain awareness of new fraud techniques and security developments for counteracting fraud. Remain informed of trends and developments in loss and fraud issues and loan reviews. QUALIFICATIONS: One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling. Financial institution experience and industry knowledge required. Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention. Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data. Experience in performing trend and detect analysis and building reports. Significant experience with relational databases, scripting languages, and database concepts. Knowledge of risk management and control principles. Working knowledge or the ability to learn and understand credit union products and services. Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Problem-solver with a strong analytic mindset, competent in research and problem resolution. Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills. Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions. Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk. Creativity and ability to be data-driven and aggressive in delivering results required. Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines. Must be available for rotating weekend hours Must be available to work in office at the Neshaminy Interplex office. Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees. EOE M/F/D/V

The Manufacturing Data Analyst will be a member of the Coherent SiC Data Systems Team, which provides data and software solutions to support next-generation semiconductor (SiC) manufacturing at all Coherent sites world-wide. The focus of this role is to build automated reports on key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time, from multiple data sources. A successful candidate would be a resourceful individual, a fast learner with a strong background in complex data structure, data mining, data analysis, data visualization, as well as a sound understanding of key manufacturing concepts. The ability to work both independently and within a team, as well as strong communication skill are indispensable for the role. Job location is on-site in Easton, PA or Pine Brook, NJ, with on-demand travelling between sites. Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3). Primary Duties & Responsibilities * Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time. Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP). * Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live. * Conduct on-demand data analysis and visualization to fulfill dynamic business needs. Education & Experience * A bachelor's degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field. * 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities. * Candidates with varied experience may apply, who will be considered for commensurately varied job levels. * Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3). Skills * Strong technical skills in SQL queries. * Demonstrated knowledge of common data sources, such as SQL databases and Apache Parquet. * Modelling and analysis of complex and imperfect real-world data. * Data visualization in Power BI, Tableau, or a similar platform. * Sound understanding of fundamental concepts in statistics. * Ability to learn new concepts and skills fast. * Knowledge in manufacturing, materials science, or natural sciences would be a plus. * Excellent interpersonal and communication skills. * Ability to align technical strategies to business objectives. Working Conditions Primarily office work on a computer. Occasional light tasks on the factory floor are possible. Physical Requirements * Ability to sustainably work on a computer full-time. * Ability to perform light physical tasks on factory equipment. Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you need assistance or an accommodation due to a disability, you may contact us at ******************************.

Temporary Contracts Data Analyst - 250308: N/A Description Job SummaryThe Temporary Contracts Data Analyst will play a key role in supporting IEEE's Conferences, Events, and Experiences (CEE) department through detailed contract data analysis and accurate, compliant payment processing. This highly collaborative role works closely with both the Contracts and Finance teams to ensure that all contractual commitments and financial obligations are accurately captured, tracked, and fulfilled on time. The ideal candidate will combine strong analytical skills with exceptional attention to detail and a deep commitment to accuracy and compliance. This position is integral to ensuring that all executed contracts and associated payments align with IEEE policies, financial standards, and tax regulations. The role reports to the Senior Manager, Event Vendor Management & Contracting, and does not manage direct reports. This position works under minimal supervision. Key ResponsibilitiesReview and analyze executed hotel contracts within IEEE's centralized contract management system (CMS). Identify, extract, and record key data points, including (but not limited to):Room block details (dates, quantities, rates, review/release dates) Food & Beverage minimums and review dates Deposit schedules, payment terms, and due dates Cancellation and attrition clauses, including tiered penalties and timelines Concessions, rebates, commissions, and other negotiated financial terms Special commitments, hotel obligations, or planner responsibilities Enter all collected information into standardized tracking templates or internal reporting tools. Flag missing, inconsistent, or ambiguous data for internal review and clarification. Summarize relevant contract details to provide visibility for internal teams and conference organizers. Partner with the Contracts team to ensure all commitments and deliverables are accurately reflected in tracking systems and communicated to stakeholders. Collaborate closely with the Finance team to process and reconcile payments tied to executed agreements, ensuring that all disbursements align with contract terms and are fully supported by proper documentation. Review and validate payment requests for vendors, speakers, and other payees to confirm accuracy, compliance, and proper authorization. Maintain organized records of all contractual and payment data to support timely reporting and clear audit trails. Proactively communicate with conference organizers and internal teams regarding payment status, missing documentation, or contract fulfillment requirements. Support continuous improvement by identifying process gaps and recommending efficiencies in contract tracking and payment workflows. Qualifications Qualifications - EducationBachelor's degree or equivalent experience Work Experience2-4 years' experience preferred with contract negotiation and document review in a procurement capacity 2-4 years' experience in a data analytics role Skills and Requirements Prior experience reviewing contracts or working with contract data strongly preferred. Strong attention to detail and accuracy in data entry and analysis. Excellent organizational and communication skills. Proficient in Microsoft Excel, Word, and data tracking systems Ability to work independently and manage multiple tasks in a fast-paced environment. Excellent communication skills (verbal/written), time and project management skills, dedication to detail and the ability to work under pressure in a deadline driven environment. Positive attitude and a supportive, team-based approach towards the attainment of departmental goals. Must have the ability to represent the IEEE in a professional manner Job: Administration Primary Location: United States-New Jersey-Piscataway Schedule: Full-time Job Type: Temporary Job Posting: Nov 20, 2025, 1:38:45 PM

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Omnichannel Data Enablement Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview Join a fast-paced, collaborative marketing team focused on delivering impactful, data-driven omnichannel campaigns across the U.S. commercial business. As an Omnichannel Data Enablement Intern, you'll support the execution and coordination of digital marketing efforts that reach healthcare professionals, patients, and care partners across email, web, media, and field sales channels. This role offers the opportunity to contribute to priority brand initiatives and experience how marketing campaigns are brought to life in a highly-regulated industry. You'll work across internal teams and external agency partners, gain exposure to digital tools and processes, and leave with a deeper understanding of how data strategy and omnichannel execution can power a relevant customer experience. What You'll Do * Develop a first party data strategy - Develop requirements on a first party strategy that can be activated on across multiple customer types * Map Omnichannel Journeys - Create omnichannel journey maps that identify key touchpoints across channels that influence value for multiple customer types * Data Analysis - Identify data collection points for more rapid data activation and analyze data for usage in the identification of key trigger segments * Data Standardization - Analyze data and identify key standardization opportunities that allow for more robust targeting and where automation can be maximized across customer data profiles Required Qualifications, Capabilities and Skills * Currently pursuing a Bachelor's or Master's degree in Computer Science or related areas of study * Demonstrated interest in data-driven marketing campaign development. * Strong organizational and time-management skills with the ability to manage multiple tasks and meet deadlines * Excellent verbal and written communication skills, with strong attention to detail * Proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook, Word), SQL, Data analysis and reporting * Ability to work collaboratively in a team environment and communicate effectively across cross-functional teams Preferred Qualifications, Capabilities and Skills * Familiarity with omnichannel or digital marketing concepts, website management, or digital campaign and creative execution * Experience or coursework involving campaign development, brand strategy, advertising, digital media, or promotional content execution * Experience using marketing technology tools (preferred but not required) General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You * You are genuinely passionate about our purpose * You bring precision and excellence to all that you do * You believe in our rooted-in-science approach to problem-solving * You are a generous collaborator who can work in teams with a broad spectrum of backgrounds * You take pride in enabling the best work of others on the team * You can grapple with the unknown and be innovative * You have experience working in a fast-growing, dynamic company (or a strong desire to) * You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies. Responsibilities Include: * Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud. * Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards. * Perform detailed research and investigation on alerts that are generated for potential fraud schemes. * Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations. * Build and maintain tools and\/or processes to collect and track data and troubleshoot errors. * Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated. * Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program. * Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management. * Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions. * Conduct research, work independently, and make complex investigation decisions. * Develop strategies for the prevention and\/or detection of internal and external fraud. * Support development of new fraud tools, processes, and third-party provided services. * Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules. * Interpret data, analyze results using analytics, research methodologies, and statistical techniques. * Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts. * Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution. * Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts. * Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information. * Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies. * Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions. * Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports. * Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system. * Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations. * At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts. * Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues. * Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement. * Assist with prompt resolution of complaints, questions, and problems. * Maintain awareness of new fraud techniques and security developments for counteracting fraud. * Remain informed of trends and developments in loss and fraud issues and loan reviews. QUALIFICATIONS: * One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling. * Financial institution experience and industry knowledge required. * Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention. * Experience with analyzing Payment Data, ACH\/Wire data, Fraud data, Financial Crime data. * Experience in performing trend and detect analysis and building reports. * Significant experience with relational databases, scripting languages, and database concepts. * Knowledge of risk management and control principles. * Working knowledge or the ability to learn and understand credit union products and services. * Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. * Problem-solver with a strong analytic mindset, competent in research and problem resolution. * Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills. * Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions. * Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk. * Creativity and ability to be data-driven and aggressive in delivering results required. * Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines. * Must be available for rotating weekend hours * Must be available to work in office at the Neshaminy Interplex office. Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees. EOE M\/F\/D\/V","

The Manufacturing Data Analyst will be a member of the Coherent SiC Data Systems Team, which provides data and software solutions to support next-generation semiconductor (SiC) manufacturing at all Coherent sites world-wide. The focus of this role is to build automated reports on key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time, from multiple data sources. A successful candidate would be a resourceful individual, a fast learner with a strong background in complex data structure, data mining, data analysis, data visualization, as well as a sound understanding of key manufacturing concepts. The ability to work both independently and within a team, as well as strong communication skill are indispensable for the role. Job location is on-site in Easton, PA or Pine Brook, NJ, with on-demand travelling between sites. Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3). Primary Duties & Responsibilities Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time. Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP). Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live. Conduct on-demand data analysis and visualization to fulfill dynamic business needs. Education & Experience A bachelor's degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field. 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities. Candidates with varied experience may apply, who will be considered for commensurately varied job levels. Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3). Skills Strong technical skills in SQL queries. Demonstrated knowledge of common data sources, such as SQL databases and Apache Parquet. Modelling and analysis of complex and imperfect real-world data. Data visualization in Power BI, Tableau, or a similar platform. Sound understanding of fundamental concepts in statistics. Ability to learn new concepts and skills fast. Knowledge in manufacturing, materials science, or natural sciences would be a plus. Excellent interpersonal and communication skills. Ability to align technical strategies to business objectives. Working Conditions Primarily office work on a computer. Occasional light tasks on the factory floor are possible. Physical Requirements Ability to sustainably work on a computer full-time. Ability to perform light physical tasks on factory equipment. Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you need assistance or an accommodation due to a disability, you may contact us at ****************************** .Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us! Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.The Manufacturing Data Analyst will be a member of the Coherent SiC Data Systems Team, which provides data and software solutions to support next-generation semiconductor (SiC) manufacturing at all Coherent sites world-wide. The focus of this role is to build automated reports on key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time, from multiple data sources.A successful candidate would be a resourceful individual, a fast learner with a strong background in complex data structure, data mining, data analysis, data visualization, as well as a sound understanding of key manufacturing concepts. The ability to work both independently and within a team, as well as strong communication skill are indispensable for the role. Job location is on-site in Easton, PA or Pine Brook, NJ, with on-demand travelling between sites.