Data analyst internship jobs in Berkeley Heights, NJ

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

Manager, SAP Public Cloud Data Salary Range: $135,000 - $218,000 Introduction We're seeking an experienced SAP data conversion leader to join a rapidly growing Advisory practice at a leading professional services firm. This role is perfect for a strategic thinker who thrives on complex data challenges and wants to make a significant impact on large-scale SAP S/4HANA Public Cloud implementations. You'll lead the entire data conversion workstream, develop innovative solutions, and mentor teams while working with enterprise clients on their digital transformation journeys. If you're looking for a firm that prioritizes professional growth, offers world-class training, and values collaboration, this is an exceptional opportunity to advance your career. Required Skills & Qualifications Minimum 5 years of experience in SAP data conversion and governance Must have experience for a Big 4 At least one full lifecycle SAP S/4HANA Public Cloud implementation with direct involvement in scoping and designing the data workstream during the sales pursuit phase Bachelor's degree from an accredited college or university in an appropriate field Proven expertise in developing and executing end-to-end data conversion strategies, including legacy landscape assessment, source-to-target mapping, and data governance framework design Demonstrated success managing complete data conversion workstreams within large-scale SAP programs, including planning, risk mitigation, issue resolution, and budget oversight Strong technical command of data architecture principles with hands-on experience designing ETL pipelines and leading full data migration lifecycles from mock cycles through final cutover Ability to travel 50-80% Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future Preferred Skills & Qualifications Experience with SAP BTP (Business Technology Platform) and Datasphere for data orchestration Track record of developing reusable ETL templates, automation scripts, and governance accelerators Experience supporting sales pursuits by providing data conversion scope, solution design, and pricing input Strong leadership and mentoring capabilities with data-focused teams Day-to-Day Responsibilities Develop and own comprehensive data conversion strategies, assessing legacy landscapes, defining source-to-target mapping, establishing cleansing protocols, and designing data governance frameworks Lead the data conversion workstream within SAP S/4HANA programs, managing project plans, budgets, and financials while proactively identifying and resolving risks and issues Design and oversee data conversion architecture, including ETL pipelines, staging strategies, and validation protocols Execute hands-on the full data conversion lifecycle, including ETL design, multiple mock cycles, data validation, and final cutover, ensuring alignment with program milestones Support pursuit directors during sales cycles by providing expert input into data conversion scope, solution design, and pricing Lead and mentor data conversion teams by assigning tasks, managing delivery quality, and fostering a collaborative culture Drive efficiency through the development of reusable templates and automation accelerators for future projects Company Benefits & Culture Comprehensive, competitive benefits package including medical, dental, and vision coverage 401(k) plans with company contributions Disability and life insurance Robust personal well-being benefits supporting mental health Personal Time Off based on job classification and years of service Two annual breaks where PTO is not required (year-end and July 4th holiday period) World-class training facility and leading market tools Continuous learning and career development opportunities Collaborative, team-driven culture where you can be your whole self Fast-growing practice with abundant advancement opportunities Note: This position does not offer visa sponsorship (H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). #TECH

Data Governance Analyst Duration: 2 Years (Long-Term Contract) 1. Minimum Candidate Qualifications The candidate must have: a. A minimum of 5 years of experience in data governance. b. 5 years of experience in compiling and computing data using statistical formulas for data analytics and/or statistical studies. c. At least 1 year of experience with Virtual Currency or Cryptocurrency. d. A Bachelor's Degree. e. Proof of eligibility to work in New York State (NYS). 2. Job Description and Required Services Duties include, but are not limited to: Work cross-functionally with various teams to analyze and validate financial call reports and capitalization data. Maintain existing data warehouse workflows, including monitoring data quality and preparing data quality reports for the DFS Virtual Currency Transaction Monitoring Program. Support the Data Steward for the Research & Innovation Division in data governance functions, including data quality, data cataloging, and related data governance activities. Coordinate with data team stakeholders, gather work items, and prepare reports and presentations as needed. Collaborate closely with data stakeholders across the Research & Innovation and Technology Divisions to drive assigned projects and initiatives. Conduct data analysis on datasets and related processes; prepare data definitions, document usage, and develop business requirements. Compile and compute data using statistical formulas for use in statistical studies; may perform model calculations and create charts and graphs for R&I staff. Work with complex datasets to understand issues and recommend solutions and procedures using diverse analytical and statistical approaches. Utilize technical expertise to automate manual processes and reporting. Collaborate with business users and business analysts to develop analytical strategies for integration into various projects. Perform other duties as assigned. Required Skills and Abilities Strong data analysis skills. Proficiency in data visualization. Advanced Excel skills (including advanced formulas, macros, etc.). Expertise in relational database management systems, SQL, Python, and SnowSQL. Experience using GitHub for version control and project management. Experience with data platforms for data quality and metadata management (e.g., Informatica, Collibra, Alation). Experience with modern cloud technologies such as Salesforce and Snowflake. Ability to develop metrics, reports, and presentations. Thanks & Regards Infojini Consulting Website: ********************************** Address: 10015 Old Columbia Road, Suite B 215, Columbia, MD 21046

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

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.

Job Title: Data Governance Lead - Data Architecture & Governance Employment Type: Full-Time Base Salary: $220K to $250K (based on experience) + Bonus is eligible for medical, dental, vision About the Role: We are seeking an Experienced Data Governance Lead to join a dynamic data and analytics team in New York. This role will design and oversee the organization's data governance framework, stewardship model, and data quality approach across financial services business lines, ensuring trusted and well-defined data for reporting and analytics across Databricks lakehouse, CRM, management reporting, data science teams, and GenAI initiatives. Primary Responsibilities: Design, implement, and refine enterprise-wide data governance framework, including policies, standards, and roles for data ownership and stewardship. Lead the design of data quality monitoring, dashboards, reporting, and exception-handling processes, coordinating remediation with stewards and technology teams. Drive communication and change management for governance policies and standards, making them practical and understandable for business stakeholders. Define governance processes for critical data domains (e.g., companies, contacts, funds, deals, clients, sponsors) to ensure consistency, compliance, and business value. Identify and onboard business data owners and stewards across business teams. Partner with Data Solution Architects and business stakeholders to align definitions, semantics, and survivorship rules, including support for DealCloud implementations. Define and prioritize data quality rules and metrics for key data domains. Develop training and onboarding materials for stewards and users to reinforce governance practices and improve reporting, risk management, and analytics outcomes. Qualifications: 6-8 years in data governance, data management, or related roles, preferably within financial services. Strong understanding of data governance concepts, including stewardship models, data quality management, and issue-resolution processes. Familiarity with CRM or deal management platforms (e.g., DealCloud, Salesforce) and modern data platforms (e.g., Databricks or similar). Proficiency in SQL for data investigation, ad hoc analysis, and validation of data quality rules. Comfortable working with Databricks, Jupyter notebooks, Excel, and BI tools. Python skills for automation, data wrangling, profiling, and validation are strongly preferred. Exposure to investment banking, equities, or private markets data is a plus. Excellent written and verbal communication skills with the ability to lead cross-functional discussions and influence senior stakeholders. Highly organized, proactive, and able to balance strategic governance framework design with hands-on execution.

Job Title: Market Risk Business Analyst Duration: 12-18 months Required Pay Scale: 65-68 ***Due to client requirements this role is only open to W2 candidates*** Job Summary: Market Risk experience - Strong SQL - Strong Excel - Strong Data Analysis skills About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: ********************* // ************

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.

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

As a Data Analyst Intern, you will support the company's data-driven decision-making process by analyzing large amounts of data related to consumer behavior, trends and patterns. You will have the opportunity to work with a team of experts and gain valuable insights into the retail industry while developing your skills and knowledge in data analytics. This is a part-time internship position that requires excellent attention to detail, critical thinking and problem solving skills and the ability to work independently in a fast-paced environment. Responsibilities Assist in collecting, cleaning and transforming large data sets from various sources. Analyze and interpret data to identify trends and insights related to consumer behavior, market trends, and sales patterns. Assist in building and maintaining reporting and visualization tools to communicate data insights to key stakeholders. Develop and maintain dashboards, data visualizations, and other reporting solutions. Conduct ad hoc data analysis to support business needs. Collaborate with cross-functional teams to identify opportunities for improvement, provide data-driven insights and recommendations to support strategic decisions. Requirements Currently enrolled in or recently graduated from a Bachelors or Masters degree program Strong analytical and problem-solving skills. Ability to work independently and in a team-oriented environment. Excellent attention to detail and accuracy. Proficient in Microsoft Office Suite, especially Excel and PowerPoint. Familiarity with SQL, Python, or R programming languages. Benefits We are committed to providing an environment of mutual respect where equal employment opportunities are extended to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. We are proud to be an equal opportunity employer.

About : City Wonders is a dynamic and innovative company. We are committed to excellence and offer exciting opportunities for interns to gain valuable experience in the field of data analysis. Position Overview: Are you a detail-oriented and analytical individual with a passion for data? Wonders is seeking a talented Data Analyst Intern to join our team. This internship provides a unique opportunity to work closely with our data professionals, learn valuable skills, and contribute to meaningful projects. Key Responsibilities: Collaborate with the data team to collect, clean, and analyze data from various sources. Assist in creating and maintaining reports and visualizations to track key metrics. Support data-driven decision-making by providing insights and recommendations. Help maintain data quality and accuracy through regular audits and checks. Learn and apply data analysis tools and techniques. Participate in team meetings and contribute to data-related discussions. Qualifications: Currently pursuing or recently graduated with a degree in Data Science, Statistics, Business Analytics, or a related field. Strong analytical skills and attention to detail. Good communication skills and the ability to work effectively in a team. Eagerness to learn and adapt to new data analysis methodologies. Benefits: Gain practical experience in data analysis within a supportive and collaborative team. Exposure to real-world data and business challenges. Opportunity to build a professional network.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Knowledge of financial modeling and valuation techniques Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

We're an audience-management agency obsessed with retention. Through email and SMS, we blend data science, time-tested tactics, and the latest AI tools to help brands maximize customer lifetime value. The Opportunity You'll be the engine behind our reporting and analytics: building and refining dashboards, dissecting campaign performance, and crafting predictive models. You'll translate data into insights for both our clients and internal teams-accelerating campaign ROI, improving deliverability, and elevating every touchpoint. This is a NY based position, requiring 3 days per week in the NY office. What You'll Do: Analyze & advise: Dive into large email, SMS, and eCommerce datasets to surface trends, pinpoint optimization opportunities, and map them back to client goals. Build & iterate: Create self-serve dashboards and advanced Excel models (VLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS) to monitor KPI and uncover trends Predict & prescribe: Develop predictive and clustering models in Python or R to forecast deliverability, engagement, and churn, then turn insights into action plans. Own the analytics workflow: Streamline on-shore and offshore reporting processes, enforce data-governance best practices, and build proofing checklists to guarantee hygiene and accuracy. Leverage AI: Experiment with AI frameworks to automate repetitive tasks, enrich reporting, and turbocharge data-driven decision making. Collaborate & communicate: Present findings and strategic recommendations to cross-functional teams and clients in clear, compelling narratives. Who You Are: You have a deep passion, curiosity, and understanding of advanced data analysis and a strong business sense You are a self-starter, problem solver, resourceful, and are able to work with limited supervision You are flexible and able to manage multiple tasks and deadlines You are a strong verbal and written communicator and excellent collaborator that values building strong relationships with colleagues, clients, and other stakeholders You have the ability to understand complex topics/processes/problems and explain them to your colleagues in simple terms You are customer, results, and solutions oriented Requirements 1+ year in a data analytics role (marketing, e-commerce, or ad agency preferred), or equivalent graduate degree Bachelor's in Computer Science, Statistics, Math, Economics, or similar Expert in Excel and dashboarding platforms (Looker, Tableau, PowerBI) Demonstrated ability to drive insights and recommendations from large datasets Preferred Skills / Experience: Hands-on experience with email-service-provider platforms (e.g., Klaviyo, Listrak) Programming Experience (SQL, Python, R) A/B testing or conversion rate optimization experience Google Analytics + marketing attribution knowledge Coursework or side-projects in data science, machine learning, or AI Benefits Salary range: $65,000 - $75,000 Unlimited PTO policy Fully covered medical, dental and vision insurance 401k with company match

Data and analytics play critical roles for management in navigating today's complex business environment. This is an beginner level data role within the Macro Quantitative Research (QR) team at JP Morgan. The role offers opportunities to work on a variety of data and quantitative macro trading and sales business problems. The team's mission is to bring data-driven decision making and automation to the Macro business. Job Summary: As an Associate in the Data and Analytics Rates team, you will hold a highly visible position within a specialized group of data analysts. You will need to possess analytical insight, strong data discipline, a solid understanding of technology, robust business acumen, and an entrepreneurial spirit to effectively execute and promote results. Additionally, strong communication skills and the ability to bridge the gap between technology, QR, and business users are essential. Job Responsibilities: • Work with the CEM and Rates Trading, Sales and QR to understand solutions needed to solve business problems • Understand and refine current data architectures to persist critical business data across all business lines • Drive standardization across processes and reporting. Suggest and implement controls to improve efficiency & accuracy of existing processes • Develop and enhance existing key management performance analytics and reporting • Help develop predictive analytics to detect changes in data patterns that may be precursor to changes in our business • Pro-actively drive adoption and rollout of business intelligence tools and data APIs. • Develop and maintain models, methodologies and infrastructure such as data pipelines, and associated visuals needed for data projects • Develop data-driven decision making analytics with demonstrable impact Required qualifications, capabilities, and skills: • Advanced degree in quantitative subject (such as engineering, mathematics, physics) • Demonstrable quantitative, problem solving, research and analytical skills • Solid software development skills • Attention to detail and excellent communication skills, both oral and written Preferred qualifications, capabilities and skills: • Familiarity with kdb, and amazon aws cloud • JPMorgan execution systems and trade booking model knowledge • Markets product knowledge / experience • Dashboard visuals experience such as Tableau • AI / ML experience • Derivatives pricing knowledge

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

Job DescriptionSalary: 24 Common Energy is revolutionizing the energy sector. Our platform enables homeowners and businesses to support new clean energy projects, lower carbon emissions, and save money on their electricity. There is no on-site installation and signing up only takes a few minutes. As such, we are a key part of the solution to mitigate global climate change. Common Energy is backed by one of the countrys leading impact investors. Our board and advisors include executives from across the energy sector, including Google and President Obamas cabinet. Responsibilities: Develop an automated credit allocation system using Python to streamline and enhance efficiency. Optimize data extraction from utility reports and build a centralized database for tracking allocations and key performance metrics. Provide data-driven insights to support cross-functional teams with customer energy allocation analysis. Collaborate across teamsincluding operations, product, and softwareto improve, automate, and scale critical customer processes. Requirements If youre our ideal candidate: You have had at least one relevant data/analysis-focused work experience (full-time or internship) You are pursuing or have completed an MA/MS degree in engineering, science, or a related, data-focused field You are based in New York City Bonus: You have working knowledge of Python in the context of data engineering (or a different language and you are excited to learn Python) Benefits $24/hour during internship period Paid lunch on days in the office Work with the countrys leading experts on renewable energy to save the earth! One mission, one team, no politics

The ideal candidate is a motivated, organized, and creative individual with experience in the finance industry or familiarity with quantitative hedge funds. Job Responsibilities: Analyze business operations and strategies to identify new opportunities. Identify cost reductions to increase net trading revenue. Research global markets and evaluate new trading opportunities. Implement efficient vendor communication and feedback channels. Identify and negotiate business contracts/deals that promote sustained income. Maintain long term relationship and routine communication with business counterparties. Explore new trading related products, conduct initial analysis of data/infra-applicability. Maintain close communication with internal research team. Qualifications: Bachelor's degree in economics or finance, marketing or communication, social sciences or similar. Previous experience as a business development analyst communication emphasized role in a related industry. Experience in identifying profitable business opportunities and potential trading venues/markets. Proven ability to increase competitiveness and market share. Ability to develop and maintain strong vendor relationships. Exceptional interpersonal and communication skills. Strong ability to gather and analyze information, quickly learn new subject areas, and comprehend complex ideas with ease.

We are passionate about our business and our culture, and are seeking individuals with that same drive. & Company Moelis & Company is a leading global independent investment bank that provides innovative strategic advice and solutions to a diverse client base, including corporations, governments and financial sponsors. The Firm assists its clients in achieving their strategic goals by offering comprehensive integrated financial advisory services across all major industry sectors. Moelis & Company's experienced professionals advise clients on their most critical decisions, including mergers and acquisitions, recapitalizations and restructurings, capital markets transactions, and other corporate finance matters. The Firm serves its clients from 23 locations in North and South America, Europe, the Middle East, Asia and Australia. For further information, please visit: *************** A. Position Summary The AI Business Analyst Summer 2026 Intern will help design and deliver AI solutions that address business needs across the Firm. The role involves gathering and documenting requirements, supporting testing and deployment, and evaluating tools and workflows. The intern will work closely with the AI Business Analyst team in a collaborative environment to interface with bankers and key stakeholder groups. Establishing and maintaining good relationships through strong communication is crucial, as this role involves interacting with bankers, Compliance officers, Business Management professionals, vendors, and Information Technology personnel. A successful candidate should demonstrate the capacity to work independently on specific tasks and exhibit strong proficiency in the following areas: analytical thinking (the ability to analyze and logically organize information), organization, communication (both written and verbal), self-motivation, intellectual curiosity, and attention to detail. B. Essential Functions * Partner with bankers and stakeholders to understand business objectives and identify opportunities for AI and automation that enhance productivity and decision-making. * Elicit, document, and interpret requirements for AI-related projects; present findings and recommendations clearly to guide design and implementation. * Translate business needs into user stories and actionable deliverables that enable engineering and data science teams to build solutions. * Evaluate AI-related solutions to ensure they meet business needs and can scale effectively across the organization. * Collaborate with Business Management, Data Science, Engineering, and external vendors throughout the project lifecycle-from requirements and workflow design to testing, deployment, and ongoing support. C. Characteristics The AI Business Analyst Intern should be a creative, detail-oriented thinker with strong interpersonal and communication skills. They should be able to deliver quality work under time constraints and be comfortable working with multiple teams across the organization. The intern should possess the following knowledge and abilities: * Ability to translate business needs into structured, data-informed insights and technology solutions. * Strong analytical thinking, organization, and customer service orientation. * Sound judgment, intellectual curiosity, and adaptability in a fast-paced environment. * Interest in AI, data analysis, and financial technology applications. D. Skills * Excellent communication, organization, and documentation skills. * Basic knowledge of Business Analysis, Data Analytics, or Quality Assurance. * Ability to analyze business systems and processes to identify user needs and automation opportunities. * Familiarity with generative AI tools, large language models, or automation platforms. * Basic exposure to Python, SQL, and/or other data analytics tools preferred. * Familiarity with User Acceptance Testing. E. Education & Experience Candidates should be self-motivated with a strong desire to contribute to the department and company's success. Currently pursuing a Bachelor's degree in a related field. Complete the Suited assessment. Moelis has partnered with the screening platform Suited to help us better understand internship candidates. Suited uses assessments to holistically and objectively understand what makes you unique. In addition to your academic background and experience, the traits and competencies captured by these assessments are predictive of on-the-job success, while reducing bias in the screening process. To learn more about the assessments, please visit: Resource Guide for Investment Banking Candidates. Hourly Pay: USD $36.00 (NON-EXEMPT) We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.