Data science internship jobs in Howell, NJ

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.

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

📌 Hiring: Data Analyst II - Product Operations We're seeking a Data Analyst II to join the Product Operations team, focusing on product reliability, performance insights, and scalable data solutions. What You'll Do Build and maintain ETL pipelines, dashboards, and reporting infrastructure Analyze product data to identify trends, issues, and opportunities Create scalable data models and visualizations Collaborate with cross-functional teams across Operations, Engineering, and Data Present insights to non-technical stakeholders Improve processes and ensure high data quality Must-Have Skills Strong experience with ETL pipeline development Advanced SQL skills Proficiency with Tableau / Power BI / Alteryx Statistical analysis (hypothesis testing, regression, experimentation) Strong communication and presentation skills Nice-to-Haves Experience using AI tools for analysis or model performance measurement Experience working across time zones and diverse teams 📩 Interested candidates can share their resumes for immediate review.

Analytical • Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points • Translate findings into clear insights to support product development and UX initiatives Statistical Analysis • Apply core statistical techniques such as: o Hypothesis testing o Regression analysis o Clustering or segmentation logic • Support forecasting and behavioral modeling with guidance from senior analysts Experimentation & A/B Testing • Assist in the setup, monitoring, and analysis of A/B tests and product experiments • Contribute to test design and metric definition in collaboration with product managers • Summarize results and support interpretation of causal impacts with guidance from senior analysts Data Visualization & Communication • Build and maintain dashboards using tools like Dash, Streamlite or Power BI • Present insights in recurring team syncs or product planning sessions • Document analysis and findings in a clear, stakeholder-friendly format This is a 1-3 month contract to hire role.

Job Title: Data Scientist Level 1 Duration: 12 months RTH As a Senior Data Scientist on the GRI Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians, and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset, client relationship skills, problem-solving, and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem-solving, communication, and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor, and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Director of Data Science and the technical requirements specified by the Director of Data Science. • Perform hands-on data analysis, model development, model training, model testing, and model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionize machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for customer engagement and wellness use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Master's, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex, A/B testing), working with claims and customer experience data. A behavior science background is preferred but not required. • Ability to learn creative skills and knowledge on an ongoing basis through self-initiative and solving challenges. • Excellent problem-solving, communication, and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL, and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set, including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph/ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline, etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis, etc., to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

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.

December 8th-January 31st** Schedule: 25 - 30hrs per week between 5 days a week, Evening Hour Shifts *The shift times, locations, and days of the week will vary depending on when we are able to book these retail spaces. This will include travel to all five boroughs* Required Skills & Experience: User Research project experience (ex: UX research assistants, coordinators, moderators, interns etc). Excellent communication and interpersonal skills. Proficiency in using phones and computers. Strong organizational skills and attention to detail. Ability to help set up camera equipment for the acting sessions. Drivers license and ability to commute to different worksite addresses daily within the bay area for the duration of the project. Job Description: Hiring "User Research Data Collectors" to re-enact different retail scenarios for research purposes around the NY Tri-state area. This is for a consumer electronic research study. The hired individuals will "act" as customers and staff in various settings like coffee shops, grocery stores, and restaurants in the NY boroughs. You must be comfortable signing a consent form to be filmed and recorded. Your voice, face, motions, and bodies will be captured during the protocol. You will need to sign a consent form allowing the captured data to be used in the client's product & service development, and prototyping. You will be asked to help unload camera equipment and Meals will be provided daily for lunch. You must be comfortable commuting to different worksite addresses daily within the bay area for the duration of the project. The position will require local travel around the NY area. 1 specific location per day.

Industry: Retail Salary: $150,000-$175,000 + Bonus Contact: ******************************** Our client is a prominent player in the Apparel sector, committed to fusing fashion with cutting-edge data and technological solutions. Situated in New York, this organization is on the lookout for a Data Science Manager to drive their Operations Intelligence initiatives within the Data & Analytics department. This critical role is pivotal in leveraging advanced analytics, predictive modeling, and state-of-the-art Generative AI technologies to bolster decision-making across key operational areas such as Planning, Supply Chain, Sourcing, Sales, and Logistics. The selected candidate will oversee the integration of data science methodologies into essential operational workflows, aiming to automate processes, improve visibility, accurately forecast business dynamics, and facilitate strategic planning through insightful data analysis. Requirements A minimum of 6 years of experience in the field of data science, with at least 2 years in a leadership or product-related role. Proven ability to apply analytics in complex operational environments such as planning, supply chain, and sourcing. Strong expertise in Python and SQL, along with a solid grasp of cloud-based data ecosystems. Experience with advanced modeling techniques, including forecasting, optimization, and classification. Familiarity with Generative AI technologies or LLMs, combined with a keen interest in leveraging these for practical business applications. Excellent business acumen and communication skills, facilitating effective collaboration between data insights and strategic goals.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. By catering to both consumers and businesses, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. Make your mark We are hiring Data Analyst Interns to join us for Summer 2026. As a member of the Analytics team, you will develop questions, conduct exploratory analyses, build data models in our data warehouse, and create dashboards in Looker and Mixpanel. Over twelve weeks, you'll work closely with Business, Product, Design, and UX stakeholders, gaining experience with the fast-paced live events industry. Above all, you will develop a deep understanding of SeatGeek's business and help ensure that that understanding is at the heart of our forward-looking strategy. This is a 12-week summer Internship Program with a hybrid work style. You will be expected to be on-site 50% of the week at our corporate office in NYC. What you'll do Develop expertise in core Analytics competencies, including exploratory data analysis, insight generation, reporting, KPI definition, and A/B testing Leverage first-class tooling - including Redshift and dbt - to build and maintain key “end-to-end” data models for stakeholders from production through to our Business Intelligence tool, Looker Communicate key learnings and recommendations to stakeholders in a manner that productively influences decision-making Work with senior members of the Data Team to develop and execute business stakeholder roadmaps Evangelize data expertise, best practices, and documentation within the Data team and in collaboration with our business partners What you have You are a currently enrolled college student set to graduate in the Spring/Summer of 2027, ideally studying economics, psychology, computer science, statistics, mathematics, or another quantitative discipline Experience using SQL Solid business acumen Strong collaboration skills and familiarity with using data points to build a narrative to guide business strategy and inform decisions Experience building reports within a business intelligence tool is a plus Perks $120 a month to spend on tickets to live events Monthly commuter card for transportation Subscription to Headspace Free lunch & snacks is provided every day in the office Weekly planned events like comedy/broadway shows, sports games, museum visits and more Housing stipend **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week** The compensation for this role is $45/hour USD (based on a 40 hour work week). SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here.

Job Description DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role At DataCamp, we're looking for a curious, analytical, and impact-driven individual who thrives in a fast-paced, high-performing environment. You'll create a data product that will help DataCamp's customer and prospects. In this role, you'll collect and analyze data from multiple sources, then publish the results as an interactive web application. Along the way, you'll publish your intermediate results in blog posts. If you're someone who's data-driven, takes ownership, and loves solving complex problems with creativity and rigor, we'd love for you to join us. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets-you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Conduct data collection and research across multiple sources to support analytical projects. Identify, extract, and integrate relevant datasets from internal and external APIs. Perform web scraping and automate data-gathering processes where applicable. Clean, organize, and validate raw data to ensure accuracy and consistency. Analyze quantitative data to uncover trends, insights, and opportunities. Summarize findings into clear reports, and interactive web applications. Support the creation of blog posts or articles by contributing data-driven insights and visual content. Qualifications Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science Comfortable working with data - collecting, cleaning, and analyzing it. Able to write code for data analysis and web application development (with AI-assistance). Strong analytical and problem-solving skills with a keen eye for detail. Excellent written and verbal communication skills, with an interest in data storytelling. At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great

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

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

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.

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

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.

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.