Data Analyst Consultant at The Data School NY | New York City

Applications for this cohort will be accepted on a rolling basis for sessions commencing every four months. The upcoming cohort will start on May 4, 2026.Prior to submitting your application, we encourage you to review our aptitude-based selection process. Applications that do not include a Tableau Public visualization will not be considered.The Information Lab is driven by a clear mission: to empower individuals to understand and leverage data effectively. We believe that organizations that harness the power of data will have a brighter future. Since 2011, we have partnered with clients such as The Vanguard Group, JPMorgan Chase, PwC, JLL, and Paramount Global, specializing in consulting and utilizing top-tier data visualization and integration tools like Tableau and Alteryx.As a consultant in The Data School program, you will engage in hands-on training that surpasses traditional learning environments. The Data School offers a 28-month contract where you will be compensated to learn about data and technology under the guidance of some of the world's leading data experts, including six Tableau Visionaries and three Alteryx ACEs.Your intensive training will take place over four months in our outstanding facility located in Union Square. Following your training, you will apply your newly acquired skills with some of the most recognized blue-chip clients across the United States through a series of placements.Moreover, our training encompasses more than just technical skills.With the support of your coaches and the broader team, you will develop skills related to data management, storage, and presentation, along with personal skills that will enhance your confidence as an exceptional consultant. We foster these skills in a collaborative and inclusive environment that emphasizes mutual growth and success.Our training and consulting primarily focus on Tableau and Alteryx, both of which can be mastered without any coding background. Our consultants come from diverse backgrounds, and many had no prior knowledge of Tableau before joining us (you can meet some of them here). What unites them is a shared passion for problem-solving through data and evidence. If you possess this same curiosity and drive, we would love to hear from you.

Join the dynamic team at the City of New York as a Data Analyst. In this pivotal role, you will leverage data analytics to drive decision-making processes and optimize services for the citizens of New York. Your expertise will contribute to various projects aimed at enhancing operational efficiency and delivering impactful insights.

The City of New York seeks a PASSPort Data Analyst to support public service improvements through careful data analysis. This position centers on gathering, interpreting, and presenting data that informs city operations. Role overview The PASSPort Data Analyst examines complex datasets related to city services. The work involves identifying trends, generating reports, and helping teams understand how data can guide better decisions for New York City’s public programs. Community impact Analysis from this role directly influences decisions that affect residents and city operations. Projects handled by the PASSPort Data Analyst contribute to more efficient, effective services for New Yorkers.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

About Junior Junior builds LLM-powered tools that support investment research for top deal teams. Our clients include several of the world’s largest private equity firms, Big 4 professional services, and leading consulting companies, organizations that collectively manage billions each year. We are a profitable, bootstrapped company with about 28 team members in London and New York. In 2025, we achieved 10x revenue growth and are on track for another 2-3x increase this year. Junior’s platform helps clients save an average of 10 hours per week, and we are expanding into sectors like investment banking, hedge funds, and research firms. Role Overview: Data Analyst This is Junior’s first dedicated data analyst role in New York City. The person in this position will build the foundation for analytics across the company, providing insights that clarify what drives user engagement, customer retention, and business growth. This role goes well beyond generating dashboards. The analyst will influence decision-making at a fast-growing AI startup, taking on a highly visible and impactful position from day one. Sample Projects Feature Adoption & Engagement Analysis: Examine how different features are used, segmenting by firm type, user role, and tenure. Deliver insights to the Product team for prioritization. Churn & Health Scoring: Build models that flag accounts at risk of churn, using product usage data to alert Customer Success before issues escalate. CRM Data Quality & Enrichment: Audit and improve CRM data. Develop pipelines to sync CRM with product usage, ensuring Sales has accurate account information. Sales Funnel Analysis: Map the acquisition funnel from first contact to closed deals. Identify bottlenecks and link product usage patterns to conversion rates. Executive Reporting: Create a weekly data summary for leadership, covering revenue, usage, pipeline health, and key anomalies. Move from ad hoc spreadsheets to automated reporting. What We’re Looking For We seek a data analyst who enjoys using data to shape business decisions and improve products. Candidates who thrive in a startup setting and want to make a visible impact will feel at home here.

About ForaAt Fora, we are redefining the traditional travel agency model, enabling passionate individuals to develop successful advisory businesses through our innovative platform. We are revolutionizing the $100B+ travel industry by integrating advanced technology, insightful data, and a supportive community, allowing countless entrepreneurs to thrive on our platform. Our comprehensive business-in-a-box solution equips travel advisors with everything needed to launch and expand their businesses, from state-of-the-art tools and tailored training to a vibrant community and exclusive industry partnerships. Our mission is clear: to empower the next generation of travel entrepreneurs to transform their love for travel into a rewarding career, whether on a full-time or part-time basis. We believe that anyone, from experienced professionals to aspiring advisors, can create something that is both profitable and personal.Founded in 2021 by experienced entrepreneurs, Fora has seen remarkable growth, now boasting a team of over 200 full-time employees based in downtown New York City. In 2025, we proudly announced our $60 million Series B and C funding rounds, led by Thrive Capital and Insight Partners, with continued support from previous investors including Forerunner and Heartcore Capital. Furthermore, we have been recognized as a LinkedIn Top Startup 2024, Fast Company’s Most Innovative Companies in 2025 and 2023, and Built In’s Best Places to Work in 2025.We are committed to building the first truly integrated platform for all travel needs, harnessing the best of human expertise and technology to transform how people plan and book travel.About The RoleWe are in search of a Senior Data Analyst to join our dynamic Data team with a specific focus on Marketing Science. This role will report to our Manager of Data & Analytics and collaborate closely with the Growth team. As an early member of the Data team during an exciting phase of rapid growth, you will be instrumental in shaping our analytical processes for the years to come.

At Garner Health, we are on a mission to revolutionize the healthcare economy by providing high-quality and affordable care for everyone.We are fundamentally rethinking healthcare in the U.S. by collaborating with employers to reshape healthcare benefits through transparent incentives and powerful, data-driven insights. Our innovative approach directs employees towards higher-quality, more affordable care, creating a system that benefits all stakeholders. Patients enjoy improved health outcomes, employers optimize their healthcare spending, and physicians are rewarded for delivering outstanding care rather than just increasing procedures.As one of the fastest-growing healthcare technology firms in the nation, Garner Health's products are trusted by top employers and healthcare providers. We are assembling a team of passionate, mission-driven professionals eager to make a substantial impact on healthcare at scale.About the Role:We are in search of a highly skilled Senior Data Analyst to join our Search team. You will be instrumental in developing the core systems that drive our product, including but not limited to the provider directory, recommendations, A/B testing for engagement and healthcare outcomes, and product analytics. Your role will be critical in leveraging data to guide members towards optimal healthcare outcomes, collaborating with product managers and engineers to implement high-performing systems at scale. Garner’s member app is designed to navigate members through their healthcare journey, ensuring they receive quality care while maintaining provider affordability and availability.Where You Will Work:This position is based in our New York City office, located in the Financial District. You will be required to work in the office three days a week, specifically on Tuesdays, Wednesdays, and Thursdays.What You Will Do:Analyze, develop, and report on product metrics and key performance indicators (KPIs) for internal teams and stakeholders.Evaluate and assess the success of product initiatives through goal setting, A/B testing, forecasting, and monitoring key product metrics to identify trends.Manage projects from inception to completion, including problem definition, implementation, validation, and iteration.Research, create, and maintain data pipelines, statistical models, and advanced analytics solutions.Collaborate cross-functionally with data, product, engineering, and operations teams to define product and member engagement metrics and model member behavior.Synthesize and present findings to Garner leadership to influence company-wide decisions.

The City of New York is seeking a Data Scientist to help improve city services through data-driven insights. This role centers on analyzing large and complex datasets, building predictive models, and supporting city departments with clear, actionable findings. Role overview As a Data Scientist, the work involves examining diverse data sources, identifying trends, and translating raw information into practical recommendations. The position supports multiple city initiatives, providing analysis that informs policy and operational decisions. What you will do Analyze complex datasets from various city departments Develop predictive models to forecast trends and outcomes Deliver insights that help guide city programs and services Location This position is based in New York City.

At Garner Health, our mission is to revolutionize the healthcare economy, ensuring high-quality and affordable care for everyone.We are rethinking the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits, leveraging clear incentives and robust, data-driven insights. Our innovative approach leads employees to superior, cost-effective care, enhancing outcomes for patients, optimizing healthcare spending for employers, and recognizing physicians for their exceptional care rather than the volume of procedures performed.Recognized as one of the fastest-growing healthcare technology firms in the nation, Garner Health delivers trusted products to some of the most sophisticated employers and providers in the industry. We are assembling a team of passionate, mission-driven professionals eager to effect meaningful change in healthcare on a large scale.About the Role:We are in search of a talented Data Analyst to join our dynamic Data team. In this crucial role, you will extract actionable insights across Product, Marketing, Talent, RevOps, and various cross-functional teams. Reporting directly to our Director of Data Science & Analytics, you will play a significant role in helping stakeholders access precise insights rapidly, minimizing reporting burdens, and laying the groundwork for long-term data excellence. Your contributions will be vital in defining key performance indicators (KPIs) that align with our strategic objectives and participating in exciting projects such as population health testing and impact evaluation aimed at enhancing long-term health outcomes across the nation.Where You Will Work:This position is located in our New York City office in the Financial District. You will be required to work on-site three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Design, manage, and oversee critical KPIs and dashboards, ensuring accuracy, consistency, and governance throughout the analytics project lifecycle.Serve as a strategic partner in measuring success across all facets of Garner’s products.Collaborate with the data engineering team to create scalable and maintainable data pipelines.Develop a comprehensive understanding of your analytical domain to independently generate and deliver meaningful insights.Identify deficiencies in current reporting mechanisms and proactively create new dashboards and insights.Maintain, troubleshoot, and enhance existing dashboards to adapt to evolving business requirements.Engage in various projects designed to drive improved health outcomes.

At Profound, we are dedicated to empowering organizations to effectively navigate and manage their AI presence. We are currently seeking a skilled Data Engineer to lead the development and enhancement of our data platform. In this role, you will be responsible for maintaining and optimizing our data pipelines, crafting innovative data ingestion processes, and addressing the data requirements of our product, data science, and go-to-market teams.This position is an excellent opportunity for individuals who thrive in working with cutting-edge data tools, enhancing system performance and reliability, and laying the groundwork for machine learning-driven functionalities.

Join Crosby as a Data Scientist, where you will leverage your analytical skills to transform data into actionable insights! In this role, you will work closely with cross-functional teams to develop predictive models and drive data-driven decision-making across the organization. Your expertise will help us innovate and enhance our products and services.

Role Overview The City of New York is hiring a full-time Data Analyst based in New York City. This position focuses on interpreting complex data sets and turning them into clear, actionable insights that support city initiatives. What You Will Do Analyze and interpret large data sets to identify trends and patterns Collaborate with multiple city departments to support data-driven decision-making Present findings that help advance projects aimed at improving life for New York City residents About the Team Work alongside colleagues across city agencies, contributing your analytical skills to projects that make a difference in the community.

Join Our Team as a Data Engineer! Are you ready to take your career to the next level? At FanDuel, we are seeking a passionate and skilled Data Engineer to join our dynamic data platform team. In this pivotal role, you will have the opportunity to design, build, and scale robust data infrastructure that drives analytics, machine learning, and critical business decisions across our organization. Your responsibilities will include taking full ownership of the design and delivery of secure, reliable, and cost-effective data platforms. Your work will empower data engineers, analysts, and data scientists to excel in their roles. As a key player in our team, you will collaborate closely with engineering, analytics, and security teams to enhance platform reliability, performance, and the overall developer experience for impactful data workflows at scale. Your strong engineering judgment will guide you in addressing ambiguous technical challenges, making architectural decisions, and contributing to the technical growth of the team. The ideal candidate is a seasoned engineer who thrives in a fast-paced, collaborative environment and is adept at managing complex systems end-to-end. If you are excited about building resilient data platforms and making a significant impact at a forward-thinking company, we want to hear from you!

About QlooAt Qloo, we leverage extensive behavioral and catalog data to drive insightful recommendations across various sectors including entertainment, dining, travel, and retail. Our cutting-edge platform is constructed on a robust AWS data architecture, facilitating advanced analytics, APIs, and machine-learning models utilized by prominent brands. We are in search of a skilled Data Engineer to contribute to the enhancement and scaling of this innovative platform.Position SummaryAs a Data Engineer at Qloo, you will be instrumental in designing, constructing, and managing the data pipelines that aggregate information from external vendors, internal systems, and public sources into our S3-based data lake and related services. You will engage with AWS Glue, EMR (Spark), Athena/Hive, and Airflow (MWAA) to ensure that our data is precise, well-structured, and readily accessible for analytics, indexing, and machine-learning initiatives.You should feel confident managing end-to-end data workflows, encompassing ingestion, transformation, quality assurance, monitoring, and performance optimization.Key Responsibilities- Design, develop, and maintain batch data pipelines utilizing Python, Spark (EMR), and AWS Glue, transferring data from S3, RDS, and external sources into Hive/Athena tables.- Structure datasets in our S3/Hive data lake to facilitate analytics (Hex), API functionalities, Elasticsearch indexing, and machine learning models.- Create and manage workflows in Airflow (MWAA), handling dependency management, scheduling, retries, and alert notifications via Slack.- Establish robust data quality and validation mechanisms (schema validation, freshness/volume checks, anomaly detection) to ensure prompt issue identification through monitoring and alerts.- Enhance job performance for cost and efficiency (partitioning, file formats, join strategies, appropriate utilization of EMR/Glue resources).- Collaborate closely with data scientists, ML engineers, and application developers to comprehend data needs and design schemas and pipelines that address diverse use cases.- Contribute to internal tools and shared libraries to streamline, secure, and standardize interactions with our data platform.- Document pipelines, datasets, and best practices to ensure clear understanding and accessibility for the wider team.Required Qualifications- Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent hands-on experience.- Proficient in Python and distributed data processing using Spark (PySpark) in EMR or a comparable environment.- Practical experience with key AWS data services, particularly: - S3 (data lake, partitioning, lifecycle management) - AWS Glue (jobs, crawlers, catalogs) - EMR or other managed Spark environments.

About PicklePickle is an innovative peer-to-peer rental marketplace that transforms the untapped potential of countless underutilized items in consumer closets into a thriving rental ecosystem. We simplify the process of renting high-quality products precisely when our customers need them, offering fast, convenient fulfillment that rivals traditional shopping experiences.Our vision is to create a unique commerce layer driven by dynamic local supply, making access more convenient for everyone. Pickle is rapidly expanding across the nation, with a significant presence in key local markets such as New York City, Los Angeles, and Miami. Our extensive marketplace boasts over 300,000 items available for rent, and we are just getting started.What sets Pickle apart is our remarkable peer-to-peer inventory, unparalleled convenience (with delivery times of under 2 days nationwide and under 2 hours locally), and a flexible, subscription-free model that allows users to rent exactly what they want, when they want it. Supported by our Series A funding secured in early 2025 from prominent investors like FirstMark and Craft, we are on a path to redefine access-driven shopping.About The RoleAs a Data Scientist at Pickle, you will serve as a strategic partner to our Founders, tackling the critical question: How do we scale efficiently?In this role, you will analyze the intricate dynamics of our two-sided marketplace. One moment, you may find yourself modeling price elasticity to understand how a 5% discount impacts our contribution margins. The next, you might delve into referral data to craft a viral loop that can halve our customer acquisition cost. Your mission is to uncover the underlying reasons behind every data trend, identifying friction points that hinder progress and behaviors that can catalyze substantial growth.If you are a driven individual who thrives on solving challenging problems and is relentless in your pursuit of solutions, this role is your ideal playground.ResponsibilitiesGrowth Strategy & AcquisitionPricing & Incentive Strategy: Develop and test dynamic pricing models and incentive schemes (e.g., first-order discounts, owner bonuses). Your analysis will help us stimulate demand and enhance conversion rates while protecting our contribution margins, ensuring each discount drives long-term ROI.The Growth Equation: Analyze our acquisition channels (Organic, Paid, Referral, Ambassadors) to identify which have the highest lifetime value to customer acquisition cost (LTV/CAC) ratios, guiding our investment strategies.

At Endex, we are at the forefront of transforming financial services by integrating advanced AI technologies. Our goal is to develop the most sophisticated digital coworker for financial institutions, enabling teams of AI analysts to work seamlessly alongside expert analysts. We are seeking innovative minds to join us in this mission, collaborating closely with leading research labs.As a Data Engineer, you will play a critical role in establishing the data infrastructure that empowers our autonomous financial analysts. Your responsibilities will include designing and maintaining data pipelines that convert raw financial data into valuable insights for investment firms. You could be an ideal candidate if you...have experience building resilient data infrastructure capable of managing complex, time-sensitive data.are skilled in designing ETL pipelines and data models that facilitate intensive analytical workflows.value data integrity, testing, and monitoring highly.are passionate about the intersection of finance and data.Join us in revolutionizing financial analysis tools that will reshape the operational landscape for investment firms.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.

Join adonis as a Senior Data Scientist, where you will spearhead innovative data projects that drive strategic decisions. Your expertise in data analysis, machine learning, and statistical modeling will be pivotal in optimizing our operations and enhancing product development. Collaborate with cross-functional teams to translate complex datasets into actionable insights, while mentoring junior data scientists to foster a culture of analytical excellence.

Join the dynamic team at the City of New York as a Systems Analyst. In this pivotal role, you will leverage your analytical skills to optimize and enhance our IT systems, ensuring they meet the needs of our diverse departments and the citizens we serve.

THE POSITIONJoin our dynamic Casino Analytics team at FanDuel as a Product Analyst and play a crucial role in shaping our product strategy. You will be instrumental in providing actionable commercial insights that drive our Casino business forward, with a strong emphasis on understanding customer behavior. Collaborate with a talented group of analysts to enhance the tools, models, and data visualizations that support the success of FanDuel Group. This role offers a fantastic opportunity for cross-functional collaboration and influence within the FanDuel Casino's product strategy.As part of your role, you may be asked to perform additional duties as assigned by the company, ensuring we remain agile and responsive to our evolving business needs.