Data analyst internship jobs in Fairview, NJ

About Us Colonial Surety Company is an insurance company licensed for business in every state, listed by the U.S. Treasury as an approved surety, and rated “A Excellent” by A.M. Best Company. Our distinct, digital product platform has recently expanded to include important liability coverages for small and mid-size businesses. Founded in 1930, we use our experience-plus technology-to give busy people and businesses easy, affordable and digital access to a growing portfolio of bond and insurance products. We have an ambitious vision for impact and growth-and invite a diversity of motivated achievers to come, learn, work, create, grow-and succeed-witdah Colonial. Position Summary Our data analysts are the drivers behind our continued growth and success. With our commitment to innovation, it's our business analysts who can perform the deep analysis of data and then determine the best way to represent it visually to managers and stakeholders. We're currently searching for an experienced data analyst to help guide our organization into the future. From collecting, analyzing, and interpreting data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. They should be wholly committed to the discovery and development of innovative solutions in an ever-changing digital landscape. Job Functions, Essential Duties, And Responsibilities Provide support in managing and maintaining digital analytics, opportunity identification and prioritization, hypothesis generation, test setup and reporting Responsible for reporting and analysis of digital platforms and marketing campaigns against a holistic set of KPIs and benchmarks Collecting and analyzing data from multiple sources such as customer databases, web analytics, market research, and surveys. Creating reports and dashboards to track key performance indicators. Identifying trends and recommending strategies to improve ecommerce performance. Building and monitoring predictive models to optimize pricing and promotional decisions. Enhancing customer segmentation and targeted marketing campaigns. Understanding user behavior and leveraging insights to drive product design, development, and optimization. Collaborating with teams across departments to ensure data accuracy and integrity. Experience, Skills, Knowledge Requirements 4+ years of direct and hands-on experience providing solutions. Excellent analytical skills, be detail-oriented, and work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools. Experience with building data pipeline using SQL query and Python script Experience with analytic tools such as Power BI, Tableau, Spark, Splunk, Jupyter notebook, and etc. Analytical skills to interpret data and draw meaningful insights. Good communication and presentation skills. Knowledge of machine learning and predictive modeling techniques is plus but not required. Understanding of web analytics and customer segmentation techniques. Hands-on experience with statistical platform such as Google Tag Manager, Google Analytics, Ads Compensation and Benefits Colonial Surety offers: A competitive starting salary based on experience, with achievement based opportunities for annual bonuses and increases. Opportunities for professional advancement. We value big thinking tied to practical, collaborative execution in a structured and growth oriented company. Ongoing mentoring from senior staff and periodic opportunities to attend industry seminars and workshops. Starting on the first day of hire, all Colonial employees can begin participating in our excellent Major Medical, Dental, Vision and Life Insurance plans. Paid holiday and vacation time, which starts in the first year of employment and increases with tenure. A modern, professional, suburban office space, concentrated work day (8:30-5:30) and business-attire environment. We enjoy a professional, collegial and positive work atmosphere, sharing camaraderie and rooting for individual and collective success.

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

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

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

The Data Analyst will join the Knowledge & Innovation group and serve as a key contributor to the development and deployment of data and AI-driven solutions. This role focuses on applying analytics, machine learning, and large language models to deliver insights that support both legal teams and business functions. Working closely with cross-functional stakeholders and technology partners, the Data Analyst will help design and implement modern data solutions that improve efficiency, elevate internal client service, and support informed decision-making. This position offers the opportunity to help shape how advanced data and AI capabilities are adopted within a leading legal organization. Key Responsibilities Partner with attorneys, practice teams, and business stakeholders to understand challenges and identify opportunities for data- and AI-enabled process improvements. Convert complex legal concepts and workflows into clearly defined data models and AI applications. Architect, develop, and support scalable data pipelines and analytics platforms that power reporting, business intelligence, and AI initiatives. Perform data analysis and modeling using tools such as SQL, Python, R, and related technologies to uncover trends and insights. Work alongside internal technology teams to enhance and maintain core data assets, including databases and data warehouses. Build processes and tools that transform raw data into accessible, intuitive datasets that support self-service reporting and analytics. Leverage advanced analytical techniques, including machine learning and natural language processing, to identify patterns, relationships, and predictive insights. Create and deploy analytical solutions for a range of use cases, including text analysis, forecasting, and trend analysis. Develop, test, and optimize prompts for large language models to support legal research, drafting, and knowledge management workflows. Deliver end-to-end data and AI solutions, from initial concept and prototyping through production implementation. Monitor emerging trends in data science and artificial intelligence, incorporating new methodologies and technologies where they add value. Skills & Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, or a related discipline required Advanced degree preferred, particularly with a focus on deep learning, NLP, or information retrieval At least 3 years of relevant professional experience, including a minimum of 2 years in data engineering and/or data science roles Demonstrated experience in data engineering, analytics, and data modeling Strong command of Python, R, and SQL Practical experience with machine learning, NLP, and data visualization tools Ability to clearly communicate technical concepts to non-technical audiences Prior experience in a legal, consulting, or professional services environment is a plus

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: ********************* // ************

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.

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description General Description: Part of the PepsiCo Quality Program (PQP), global business teams are classifying specifications/ingredients to enable food safety hazard assessment with a focus on FSMA (Food Safety Modernization Act) compliance. The identified resource will support sectors/business units with the mapping exercise as appropriate and coordinate incoming change requests for changes and re-assessments. Keen insights regarding raw materials in the manufacture of food and beverage will enable analysis of scientific research and identification of hazards associated with food materials. Fulfill Data Steward responsibilities in responding to change management of the material classification tool. Act as a point person/clearing house contact as questions arise and address SME teams when needed. Collaborate with business sectors globally to train, update, and communicate application of the classification tool and changes to the tool. Support enhancement of the hazard analysis with internal and external tools and data systems. Support automation project by liaising with database developers. Conduct user acceptance testing. Support accurate and timely mapping of ingredients to the new material classification. Maintain master files and adhere to document control procedures. Support related Food Safety technical services as needed. Qualifications Skills/Qualifications: Certification in or working knowledge of Food Safety and Quality systems Crisis management / recall management experience Additional Information Requirements: Knowledge of food materials and associated biological and chemical hazards and a general understanding of physical, chemical, and biological hazards associated with different categories of food and beverage ingredients. Experience in food safety, microbiology, and/or toxicology is preferred. Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years). Practical knowledge of food ingredients (how they are grown, cultivated, harvested, processed, distributed) and risk assessment thereof (5+ years) Excellent proficiency with Microsoft Excel; high frequency user experience with database/ product lifecycle management tools (e.g., Product Vision, SAP) (5+ years) Basic understanding of the Food Safety Modernization Act, domestic and international regulatory requirements Influential written and verbal communication skills; excellent organizational skills

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: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.

**RWE Clean Energy, LLC** **To start as soon as possible, full time, fixed term** **Functional area:** IT / Digital **Remuneration:** Non-Exempt Digital Solutions is responsible for the development and management of RWE Clean Energy's application and custom software development portfolio. The **Business Analyst Intern** will have the opportunity to work on a transformation initiative in partnership with Clean Energy IT and Business stakeholders. The Intern will support business analysis and project implementation activities within the organization. This position could be involved in several aspects of the product development life cycle including gathering user requirements, designing the application, developing and programming the code, end-to-end testing, deployment and documentation. The applicant must have the ability to perform tasks independently and/or with minimum guidance. **Role Responsibilities:** + Assist in gathering and organizing business requirements from stakeholders and end users through interviews, workshops, and documentation review + Support analysis of existing business models and operations, identifying areas for improvement under guidance + Participate in requirements documentation, drafting user stories, use cases, and basic functional specifications + Support communication and follow-ups during project meetings + Help prepare and deliver presentations and training materials for proposed changes to staff and business teams + Assist in project implementation activities, such as tracking assigned tasks and preparing documentation for third-party resources + Participate in QA and testing efforts, including executing test scripts and documenting results for smaller features or enhancements + Support problem identification and root cause analysis, recommending solutions under supervision + Assist in application management tasks, including user access support, license audits, and maintaining admin guides + Learn to coordinate with vendors on minor upgrades or application support needs, shadowing senior team members **Job Requirements and Experiences:** + Working on a degree in Computer Science, Information Systems or related field + Ability to learn new technologies as required for the job using documentation and other available sources + Ability to handle multiple assignments with changing priorities while meeting deadlines + Strong interpersonal skills, with ability to manage customer relationships + Demonstrated desire to learn about the Company and the renewables space + Excellent proficiency with Microsoft Office suite (Excel, Word, PowerPoint, Outlook, SharePoint, Teams) + Some knowledge of business analysis methodologies, tools, and techniques, such as data flow diagrams, entity-relationship diagrams (ERD), cross functional diagrams, user stories, wireframes, Agile, Scrum, etc. + Strong leadership and communication, and ability to meet deadlines + Strong organization skills and ability to coordinate multiple tasks and deliverables + Motivated self-starter, goal-oriented, and strong problem-solving abilities + Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds at all levels of the organization + Is a team player embracing the spirit of continuous improvement personally and within the team + Is detail-oriented, has strong business acumen, and a sound understanding of business concepts _Applicants must be legally authorized to work in the United States. RWE Clean Energy is unable to sponsor or take over sponsorship of employment visas at this time._ **Pay range:** The base hourly range for this position in New York for undergraduates is $25.00-$35.00 an hour, and for graduates is $30.00--$40.00 The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer. **Benefits offered:** Paid time off and Holidays. Apply with just a few clicks: ad code 91338. Any questions? Contact HR: rwece_****************** We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. RWE Clean Energy is the third largest renewable energy company in the United States, with a presence in most U.S. states from coast to coast. RWE's team of about 2,000 employees in the U.S. stands ready to help meet the nation's growing energy needs. With its homegrown and fastest-to-market product, RWE supports the goal of American Energy dominance and independence. To that end, RWE Clean Energy is committed to increasing its already strong asset base of over 10 gigawatts of operating wind, solar and battery projects, focusing on providing high-quality jobs. RWE invests in local and rural communities while strengthening domestic manufacturing supporting the renaissance of American industry. This is complemented by RWE's energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).

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.

We are looking for an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions 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. 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.