Data analyst internship jobs in Irvington, NJ

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

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

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

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

We're Par Health, the essential pharmaceutical company, making quality generic medicines people can count on-leading with excellence and committed to those we serve. With 4,000 team members worldwide, our reputation is built on reliability, compliance, and service-because patients depend on it. With approximately 80 product families, our broad product portfolio spans multiple therapeutic areas, dosage forms and delivery technologies, including oral solids, liquids, sprays, patches, and more designed to meet the needs of patients and healthcare providers. From everyday medicines to specialized care, we're here to advance better health. Job Description The Market Research and Insights Sr. Analyst plays a critical role in driving evidence-based decision-making through robust primary market research and actionable insights. This individual will lead the end-to-end execution of qualitative and quantitative primary research projects to inform marketing strategies, assess promotional effectiveness, and shape brand positioning. While the primary focus of this role is primary market research, the position also involves integrating secondary data analytics to strengthen insights and business recommendations. The ideal candidate is a hands-on researcher with strong analytical capabilities, exceptional attention to detail, and a proven ability to transform raw data into compelling visual narratives. This role requires expertise in data analysis, survey design and storytelling Experience working at a market research supplier or agency is strongly preferred. Prior experience in pharmaceutical marketing and market research is also highly desirable. Key Responsibilities Lead Primary Market Research: Support the design and execution of qualitative and quantitative research projects, collaborating on study design, coordinating with external partners, assisting with fieldwork monitoring, and contributing to data analysis and insight development. Research Solution Development: Responsible for collaborating on the developing the research approach and selection of external research partners. Assist in drafting research instruments that address key business questions and support clarity, flow, and data integrity. Data Analysis: Analyze raw data using Excel and cross-tabulations to uncover patterns, drivers, and actionable insights. Perform and oversee open-ended survey question analysis. Reporting and Storytelling: Create visually compelling PowerPoint reports that highlight key findings, write strong headlines for slides, and clearly connect insights to business implications. Translate complex data into simple, impactful narratives that drive strategic decisions Vendor Management: Assist in coordinating with external research partners, supporting adherence to project timelines, methodological requirements, and quality standards. Partner with internal stakeholders to monitor project progress and budget considerations. Secondary Data Analytics (as needed): Integrate findings from syndicated sources, competitive intelligence, and internal performance data to complement primary research and strengthen insight generation. Qualifications Education Bachelor's degree required. Advanced degrees in Business, Marketing Research, Economics, Statistics, Psychology, Sociology, Anthropology or other Social Science-related discipline is a plus. Experience Minimum 3-5 years of hands-on experience conducting primary market research (qualitative and quantitative). At least 2 years in a supplier-side or market research agency environment preferred. Minimum of 2 years of demonstrated experience designing & executing analyses, as well as delivering insights related to one or more of the following: Primary Market Research to inform marketing strategies and tactics. Segmentation & Targeting Proven ability to perform and oversee identifying key themes, sentiments, and emerging market trends from qualitative data. Demonstrated success in cross-functional collaboration, partnering with marketing, analytics, sales, and commercial teams to define research needs, align on objectives, and translate insights into actionable business strategies. Prior pharmaceutical industry experience supporting marketing or commercial functions preferred. Proven track record in survey design, data analysis, and report development using Excel and PowerPoint. Technical Skills Strong proficiency and working knowledge of MS Office products Familiarity with market research software and tools (e.g., Qualtrics, SurveyMonkey, Decipher, or similar platforms) is a plus. Core Competencies Strategic thinker with the ability to connect insights to business priorities. Exceptional written and verbal communication skills, including the ability to present findings to senior leadership. Detail-oriented with strong project management skills and the ability to manage multiple priorities simultaneously. Demonstrated ability to influence stakeholders and drive alignment through data-driven insights. Self-motivated, intellectually curious, and proactive in identifying opportunities to improve research processes and outputs. Additional Information Travel: Up to 10% of domestic travel may be required for research activities or business meetings. Work Environment: Hybrid work structure with 3 days in-office; flexibility to support virtual and in-person research initiatives.

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

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

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 .

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.

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

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.

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.

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.