Data analyst internship jobs in Florham Park, NJ

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

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

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

Titan is an award-winning wealth manager with a mission to increase our generation's compound growth rate. We plan to do this by putting a human wealth advisor in every pocket. Historically, wealth managers have been accessible to only the ultra-wealthy. With Titan, they're available to everyone. We harness frontier technologies like artificial intelligence to build a platform that gives advisors superpowers, enabling them to serve clients they historically never could. Backed by a16z, General Catalyst, Sam Altman, and many others, we manage over $1 billion in assets for clients across the country. Why Join Titan For the right person, we believe Titan will be one of the most rewarding jobs they ever have. Ambitious Vision: When we put private wealth management in every pocket, we'll make a legacy-defining impact in growing our generation's wealth to new heights. Critical Why Now: The advent of LLMs unlocks our vision to democratize personalized wealth management for everyone. This drives our urgency every day. Disproportionate Impact: We're still at the beginning of our journey with a small team, which means your impact at Titan will disproportionately matter. Vibrant In-Person Culture: We thrive on being a high-touch team, working together in the trenches in person (you'll see our founders in office every day). Compensation: Titan offers competitive cash compensation and well-above-market equity packages because we want every team member to be an owner. World-Class Investors: We're backed by top investors who share our bold vision, including a16z, General Catalyst, Y Combinator, and Sam Altman. Role Overview The Data Analyst role sits at the heart of how we make decisions, measure progress, and uncover opportunity. Your mission is to transform raw data into clarity, building the systems, tools, and insights that guide strategy across the business. This isn't just about dashboards or reports, it's about architecting the flow of information that fuels every team, from Product to Finance. You'll design and maintain the pipelines and models that power our analytics stack, ensuring our data is not only accurate and accessible, but deeply actionable. You'll operate at the intersection of engineering precision and business intuition: comfortable writing complex SQL one moment, then distilling findings into a clear narrative for leadership the next. You'll push the organization toward a truly data-driven culture, one where insights are timely, trusted, and tied to real impact. What You'll Do Design and maintain ETL workflows that move and transform data between multiple systems to power business intelligence dashboards. Work extensively with Redshift to model and optimize data structures for reporting and analytics. Translate and work with NoSQL data sources, ensuring smooth integration with other data platforms. Build, automate, and monitor data pipelines using tools like Fivetran, Hightouch, Segment, and Stitch. Collaborate with business teams - including Finance, Product, and Operations - to identify data needs and transform business questions into analytical solutions. Support financial reporting and analytics by applying your understanding of accounting and finance-related concepts. Create and maintain dashboards in tools such as Omni, Mode, and Mixpanel, ensuring teams have accurate and timely visibility into KPIs. Partner with engineering to ensure data consistency, documentation, and governance across systems. Advocate for and contribute to the development of a data-driven organizational culture. Qualifications Must come from a startup, fintech, or similarly fast-paced, high-growth environment. Strong proficiency in SQL, with a deep understanding of data modeling, query optimization, and performance tuning in Redshift. Experience designing and maintaining ETL workflows that connect multiple data sources and ensure data integrity. Comfortable working with NoSQL data and integrating it into analytics pipelines. Familiarity with AWS ecosystem services and best practices for data storage, transformation, and access. Scripting experience (e.g., Python, SQL scripts) and familiarity with version control (e.g., Git). Skilled at working with cross-functional teams to identify business opportunities and deliver measurable impact. Experience analyzing and visualizing finance and accounting data preferred. Strong communication and data storytelling skills - able to make complex analyses clear and actionable. Technologies We Use Redshift • Omni • Mode • Fivetran • Hightouch • Zapier • Segment • Stitch • Fullstory • Mixpanel

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

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.

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

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.

What is the position? Evercore seeks to hire a Research and Data Analyst for its Strategic, Defense & Shareholder Advisory Team ("SDSA") located in New York, NY. The SDSA team focuses on advising clients with respect to shareholder activism, raid defense, and related situations. Primary Responsibilities: The Analyst will support the Head and COO of the SDSA team and will be responsible for collecting, organizing, and maintaining data on companies, clients, and interactions to support the team's day-to-day activities. This includes managing internal databases, tracking client interactions and key information, and assisting with research and data requests. The Analyst should have a proactive approach to ensure information is accurate, well-organized, and up-to-date. The Analyst will create materials for use in internal meetings and marketing initiatives. The Analyst will also be responsible for coordinating information and events involving external constituents (such as law firms and public company directors) and developing and enhancing firm networks. Specific Qualifications: The Analyst will have strong attention to detail, clear communications style and be proactive, self-directed, creative and resourceful. We are seeking an academically accomplished candidate with the ability to multitask. This position comes with challenging work, an opportunity to work closely with senior leaders, and a demanding environment in a rapidly growing firm. The ideal candidate will have: * One year of professional experience * Strong academic record * An excellent, team-based attitude * Strong work ethic and high energy level * Excellent communication skills (written and verbal) * Proficient in Microsoft Office, specifically PowerPoint and Excel * Exceptional attention to detail * Calm under pressure with a demonstrated track record of successfully managing multiple projects simultaneously * Interest in investment banking, paralegal work, or research/analytical roles encouraged Expected Base Salary Range: $70,000-$90,000 In addition to a competitive base salary, employees may be eligible to receive a discretionary bonus delivered in the form of cash and/or deferred equity. Evercore also offers a variety of benefits and programs, subject to eligibility. These include, but are not limited to: * Medical, prescription, dental, and vision insurance, including healthcare savings and reimbursements accounts * 401(k) Retirement Plan * Life and disability insurance, including additional voluntary financial protection insurance * Well-being resources and programs, including mental health and mindfulness programs, digital wellness platforms, well-being events, and targeted on-site health services * Family-building and family-support benefits * Paid parental, caregiver, marriage and bereavement leave * Commuter benefits, health club membership discounts, and other corporate discounts * Paid holidays, vacation days, personal days, sick days, and volunteer opportunities About Evercore: Evercore (NYSE: EVR) is a premier global independent investment banking advisory firm. We are dedicated to helping our clients achieve superior results through trusted independent and innovative advice on matters of strategic significance to boards of directors, management teams, and shareholders - including mergers and acquisitions, shareholder advisory, restructurings, and capital structure. Evercore also assists clients in raising public, private capital, delivers equity research, equity sales and agency trading execution, in addition to providing wealth and investment management services to high-net-worth individuals. Founded in 1995, the Firm is headquartered in New York and maintains offices and affiliate offices in major financial centers in North America, Europe, the Middle East, and Asia. For more information, please visit ***************** Inclusion and Equal Opportunity Employment: Evercore is an equal employment opportunity employer and does not discriminate against individuals because of actual or perceived race, color, creed, religion, sex, pregnancy, national origin or ancestry, mental or physical disability, age, veteran status, military status, citizenship status, sexual orientation, gender identity or expression, genetic information, or immigration or citizenship status, or any other characteristic protected by applicable law (referred to as "protected status"), in accordance with applicable federal, state and local laws.

Job Description 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

Our client is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, credit, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: A portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher. Responsibilities: Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.) Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes Proactively search for alternative, unstructured data sets with signal potential for corporate credit Requirements: Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus Some programming skills are a plus (e.g., Python) and a strong self-learner Tenacious, detail-orientated, and organized Strong communication skills Team player, driven and collaborative Thank you for illuminating hiring with Quanta Search! ********************

Join J.P. Morgan's CIB Global Research team and help shape the future of data-driven research by developing advanced data products, tools, and automation for our analysts and clients. As a Research Data Product Associate, you will partner with Research Analysts and Technology teams to source, transform, and deliver public, third-party, and alternative datasets. You'll develop analytical tools, dashboards, and automated workflows that empower both internal users and external clients, driving impactful research and insights across the firm. Job responsibilities Define requirements with Research Analysts, source and ingest datasets, and establish ETL pipelines and data-governance policies. Contribute to the development of an Analyst Workspace with integrated data feeds and enhanced data-discovery and analysis tools. Automate analytics packs and strategize publishing dashboards for external clients; support low-latency equities and options data wrangling and delivery. Identify manual tasks and develop scripts and workflows to centralize and automate data operations on the Research Data Platform. Required qualifications, capabilities, and skills Bachelor's degree in Analytics, Data Science, Computer Science, Finance, or a related field. Proficiency in Python, SQL, and ETL best practices. Experience with dashboarding tools such as Tableau, Power BI, or similar. Strong communication skills and proven ability to collaborate across functions. Preferred qualifications, capabilities, and skills Experience in investment banking or research data platforms. Familiarity with data pipeline and ETL technologies. Experience with the JPMC Athena platform. Knowledge of fixed income, derivatives, economics, and equity market data.

JobID: 210678649 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $100,000.00-$125,000.00 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

Financial Market Data Product Analyst OneMarketData is continuously searching for bright talent with the skills to make an impact. From developers to data scientists, at OneTick you will have the opportunity to develop and enhance your problem-solving skills using a combination of analytics, imagination, and talent. Prior to advancing with your application, we kindly request that you review the CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated. OneMarketData has an open position for an individual to enhance the quality of delivery of our Market Data Product Analyst ("Onetick Cloud"). We seek a Computer Science / Finance graduate who can work independently and support new product launches, client onboarding, data quality & availability and product delivery. Candidates will undergo continuous training and must be able to meet deadlines and work well remotely with resources across different time zones. OneMarketData offers start-up excitement along with the stability of a mature company. More information about OneMarketData is available at **************** *Please note, that this role is open to US / Canada Citizens and Green Card holders. Key Objectives Enhance ease of use to expand client adoption Perform product demonstrations to prospective and existing customers Perform API usage demonstrations using SQL, REST, and Python to prospective customers Verify new capabilities and datasets Monitor and enhancing data quality, escalating problems Contribute to Product and API documentation Required Qualifications (Please do not submit the application without meeting the requirements) Finance or Computer Science Degree / Masters 1+ year of Real Time/Historical Market Data experience 1+ Years SQL & Python Experience. (or kdb / q) Understanding of Time Series Market Data and Analytics Experience of market data quantitative analysis 1+ year training / tutoring / presentation experience Detail-oriented, ability to meet deadlines and effectively prioritize workload Passion for success and excellence Equal Employment Opportunity As an Equal Employment Opportunity (EEO) Employer, OneMarketData prohibits discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived race or color, size (including bone structure, body size, height, shape, and weight), religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, gender identity (one's internal deeply-held sense of one's gender which may be the same or different from one's sex assigned at birth); gender expression (the representation of gender as expressed through, for example, one's name, choice of pronouns, clothing, haircut, behavior, voice, or body characteristics; gender expression may not conform to traditional gender-based stereotypes assigned to specific gender identities), disability, marital status, relationship and family structure (including domestic partnerships, polyamorous families and individuals, chosen family, platonic co-parents, and multigenerational families), genetic information or predisposing genetic characteristics, military status, domestic violence victim status, arrest or pre-employment conviction record, credit history, unemployment status, caregiver status, salary history, or any other characteristic protected by law. The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.

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

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

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

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

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