Data Engineer - Analytics Data Products

Join the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

Pelago is the premier virtual clinic dedicated to Substance Use Management, offering tailored support and treatment for individuals striving to overcome tobacco, alcohol, and opioid dependencies. Our personalized approach addresses unhealthy habits and active substance use disorders, catering to each member's unique health profile, lifestyle, genetics, and aspirations. Our comprehensive suite of virtual services includes educational resources, cognitive behavioral therapy (CBT), and extensive medication-assisted treatment (MAT). Pelago empowers employers and health plans to provide accessible, cost-effective, and effective treatment options for substance misuse. Having scaled our operations to assist hundreds of employers and health plans, we have positively impacted the lives of over 750,000 members in managing their substance use. With our recent Series C funding round, raising over $151 million from top-tier global investors, we invite you to join our mission to enhance the health of individuals everywhere!About Pelago Data:The Data team at Pelago plays a pivotal role in decision-making as we continue to grow. As we evolve our data capabilities, we aim to transform raw data into actionable business insights.We specialize in converting complex healthcare and product data into structured, reliable, and thoroughly documented models that drive reporting, experimentation, AI initiatives, and everyday decision-making throughout the organization.Overview of the Role:We are in search of an Analytics Engineer who is passionate about constructing scalable data models, deeply analyzing business logic, and creating reusable data assets.In this position, you will influence how data is organized and defined at Pelago, ensuring consistency, quality, and usability across various applications—from dashboards to experiments to future machine learning projects.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

About Us Nourish is dedicated to transforming health through improved nutrition. Chronic diseases linked to poor nutrition represent a significant health crisis that often goes unnoticed. Collaborating with Registered Dietitians can provide effective solutions, yet fewer than 1% of eligible Americans actually utilize these benefits. At Nourish, we are developing an AI-driven healthcare system focused on nutrition. Our aim is to enhance health outcomes, reduce expenses, and promote longer, healthier lives. Founded three years ago, we have successfully launched our services across all 50 states, currently supporting thousands of dietitians and hundreds of thousands of patients. We are rapidly expanding, collaborating with national health insurance companies and provider groups, and have secured $115 million in funding from prestigious investors including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, and others. Our angel investors include renowned healthcare entrepreneurs and notable figures such as soccer star Alex Morgan. To learn more about us, click here and read about our recent Series B funding here. About the Role As we scale, data plays a pivotal role in driving growth and enhancing patient outcomes. In the position of Data Analytics Lead, you will oversee all analytics for a key business function, developing our data strategy, tackling complex challenges, and facilitating informed, rapid decision-making across the organization. This position merges analytics engineering with strategic insights: you will create efficient, scalable data models and pipelines while delivering clear, actionable insights that amplify our effectiveness. As a key member of our data team in New York City, you will help shape our long-term data vision and collaborate closely with our Operations, Engineering, Product, and Design teams. Our team operates in a hybrid model, with in-office days 2-3 times a week, welcoming individuals who are eager to engage in our vibrant office culture.

About UsAt DriveWealth, we are committed to revolutionizing the landscape of investing by ensuring that everyone has the opportunity to shape their financial destiny. Our belief is grounded in the idea that access to financial markets should transcend geographical, economic, and systemic barriers. As a global B2B financial technology innovator, we are on a mission to democratize financial independence worldwide through our state-of-the-art API-based platform. This empowers our partners to deliver seamless investing and trading experiences to clients across the globe, all through mobile devices. Our technology equips partners with a flexible, modern toolkit, facilitating traditional investment processes alongside innovative solutions such as fractional share ownership. DriveWealth has quickly evolved into a comprehensive platform enabling trading in US equities, mutual funds, ETFs, fixed incomes, and options.Now is an exceptional time to join a company that is set to redefine its category, supported by a team poised to seize this opportunity. Our culture intertwines the dynamism and flexibility of a fintech startup with the reliability, impact, and rigor of Wall Street. We foster an environment that champions creativity and experimentation while maintaining a focus on institutional-grade execution and regulatory compliance in every aspect of our operations. Be a part of our journey to shape the future of global investing!About the RoleThe Data & Analytics team is on a mission to create groundbreaking data products that yield actionable insights, enabling our partners to excel. Our focus is on curating and sustaining essential data sources and statistics that benefit both internal and external stakeholders.What You’ll DoAdvanced Engineering & CodingCore Development: Design and develop intricate dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).Python Automation: Craft production-grade Python scripts tailored for advanced data processing, anomaly detection, and custom orchestration logic beyond SQL capabilities.Performance Engineering: Take charge of the most challenging issues concerning query performance. Refactor legacy code and enhance incremental loading strategies to minimize costs and latency on a large scale.Technical Architecture & StandardsCI/CD & DevOps: Oversee the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.

DIRECTOR OF DATA ANALYTICS Current is a pioneering consumer fintech platform redefining financial access for everyday Americans, boasting a community of over five million members. Our mission is to provide innovative financial solutions that integrate seamlessly to meet the diverse needs of our members, empowering all Americans to cultivate better financial futures. Based in the heart of New York City, our results-driven culture motivates us to create superior products, accelerate growth, and inspire every team member to make a meaningful impact on our mission to enhance financial outcomes. ABOUT THE ROLE We are on the lookout for an exceptional, hands-on Director of Data Analytics to drive and expand our functional analytics organization. In this pivotal role, you will lead analytics teams embedded within various departments, ensuring that data-driven insights are central to every strategic decision at Current. As a functional leader, you will uphold the standards of analytical excellence, collaborating with department heads to align on overarching strategies while ensuring that your analytics leaders adhere to established frameworks and robust data processes. A technically adept leader, you will delve into root-cause analyses, evaluate analysis designs, and interpret complex experimental results alongside your team. You must possess exceptional storytelling skills to translate intricate data into engaging narratives that foster adoption and stimulate organizational change. RESPONSIBILITIES Steer the analytics function organization-wide, ensuring methodological consistency, toolset uniformity, and quality standards across all embedded teams. Collaborate closely with Department Leads to synchronize analytics roadmaps with broader business objectives and P&L goals. Establish and oversee standardized processes for experimentation, data modeling, and reporting, ensuring adherence to Current’s best practices for data integrity. Serve as a subject matter expert in structuring and guiding in-depth exploratory analyses and business case development. Engage directly with data to tackle the company's most complex challenges. Participate actively in formal reviews for RFCs, experimental designs, and learning briefs, providing critical oversight on success metrics and the interpretation of complex test results. Manage the performance and career development of Analytics Managers and Leads, mentoring to elevate the technical and storytelling capabilities of the organization. Effectively manage team bandwidth and prioritize high-impact initiatives.

ABOUT THE ROLEPeloton is embarking on an exciting new journey, transitioning from a leader in connected fitness to a holistic wellness ecosystem, fueled by groundbreaking innovation and data analytics. Our unwavering mission is to empower our global community to lead healthier, happier, and more fulfilling lives. As we reshape the future of health, we seek visionary leaders ready to create the frameworks that will enhance our world-class member experiences.Within our user-focused, results-oriented Product organization, the Product Analytics team plays a crucial role in providing strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The Senior Manager will lead a range of monetization and product analytics initiatives designed to effectively enhance Peloton’s member engagement while steering analytical efforts to refine our product strategy.We are in search of a Senior Manager, Product Analytics, who will take charge of high-impact projects, establish foundational frameworks, and manage a dedicated team of analysts.YOUR DAILY IMPACT AT PELOTONCollaborate closely with the Product Management Organization and key stakeholders to understand their business goals, translating them into actionable solutions (e.g., exploratory data analyses, new KPIs, business intelligence, and data science) while gaining stakeholder alignment and support.Act as a thought partner and consultant for the Performance Marketing and Product Marketing functions by proactively uncovering strategic insights and analytical solutions that promote growth in member engagement.Enhance and refine Peloton’s product strategy by delivering precise, timely, and high-quality analytics.Oversee the development and presentation of insightful reports and KPIs for business reviews and leadership updates.Utilize industry best practices to optimize engagement strategies at Peloton through effective data utilization and insights.Support experimentation initiatives by partnering with Product Managers to establish effective A/B or multivariate tests, executing post-experiment success measurements and statistical evaluations.Lead an engaged and high-performing team of product analysts and data scientists.Mentor and develop team members, both technically and strategically, on industry best practices such as statistical modeling, exploratory data analysis, and experimentation analytics.Create a culture of excellence and inspire the team to elevate their performance.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

LifeMD is hiring a Vice President of Data & Analytics in New York, NY. This executive role shapes how the company approaches data and analytics, setting the direction for data strategy and ensuring the team delivers insights that guide business decisions. Key responsibilities Develop and execute data and analytics initiatives across the organization Manage and mentor a team of data professionals focused on generating actionable insights Implement advanced analytics solutions to support LifeMD’s healthcare mission Promote data-driven decision making to help drive business growth Team and impact This position leads a skilled group of data experts, working together to turn complex information into clear guidance for the company. The work directly supports LifeMD’s commitment to quality and innovation in healthcare.

Role overview flex seeks a Senior Data Scientist & Analytics specialist to support its Product team in New York. The main focus is on applying data analysis and statistical models to guide decisions and strengthen product results. Key responsibilities Collaborate with colleagues from multiple disciplines to examine complex datasets Identify and communicate insights that inform product strategy and development Use statistical modeling to assess and improve product performance Location This role is based in New York, New York, United States.

Role overview Peloton Interactive, Inc. seeks an E-commerce Data Scientist specializing in Product Analytics for its New York, New York office. This role uses data-driven methods to enhance Peloton’s digital marketplace, aiming to refine product offerings and create a stronger user experience. What you will do Collaborate with teams throughout the company to define and monitor important product metrics Study consumer behavior and purchasing trends within the e-commerce platform Deliver insights that guide product strategy and decision-making Assist in optimizing profitability while ensuring customer needs are met Impact The work in this position directly influences the direction of Peloton’s e-commerce products. Insights and recommendations will help shape future offerings and contribute to key business results.

About the Role Peloton is embarking on a pivotal transformation. We are transitioning from a leader in connected fitness to an all-encompassing wellness ecosystem driven by innovation and data. Our unwavering mission is to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we seek visionary leaders who are enthusiastic about creating the frameworks that will enhance our world-class member experiences. As a user-centered, outcomes-driven Product organization, Peloton's Product Analytics team plays a crucial role in delivering strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The analyst will be instrumental in championing diverse monetization and product analytics initiatives, aimed at profitably increasing Peloton's member engagement while optimizing our product strategy. We are on the lookout for a Product Analyst to join our Product Analytics team, focusing on fostering member engagement through habit formation. At Peloton, our ambition is to cultivate Members for Life—establishing enduring fitness routines that seamlessly integrate into our members’ daily lives. This role is pivotal in evaluating the effectiveness of our product experiences designed to help members develop and maintain consistent fitness habits. The Product Analyst will collaborate closely with cross-functional product teams to assess impact, derive insights, and shape product strategy—ensuring our efforts lead to sustainable habit formation and enhanced member retention. Your Responsibilities: Oversee analytics for habit formation engagement features—from defining success metrics to providing insights that inform product decisions. Collaborate with Product Managers and Designers to construct, launch, and evaluate A/B tests that influence the product roadmap. Craft compelling narratives with data: develop clear stories that resonate with senior stakeholders and steer strategic direction. Transform member behavior data into actionable insights that enhance retention and long-term engagement. Promote clean, consistent data instrumentation and support best practices in experimentation. Your Qualifications: 3-5 years of experience in analytics, with a focus on product or UX analytics (experience in fitness or consumer technology is advantageous). Proficiency in SQL and familiarity with Python (e.g., pandas) is required.

About Saaf AIAt Saaf AI, we are revolutionizing the mortgage lending landscape by harnessing the power of advanced artificial intelligence coupled with established lending practices. As a fintech startup integrated into American Heritage Lending—one of the nation's top ten private lenders, managing billions in loan volume across various programs—we are supported by some of the largest asset management firms and investment funds.Our team is fundamentally AI-driven. Every engineer, product decision, and operational workflow is meticulously crafted to answer the question: “How can AI enhance efficiency, intelligence, and reliability?” If you are eager to expand the horizons of your expertise by utilizing the most advanced AI tools and methodologies daily, this role places you at the forefront of data architecture and analytics engineering as we move into 2026 and beyond.The RoleWe are seeking a Senior Data Architect & Analytics Engineer to lead the development and enhancement of our analytics data platform. As our first dedicated data hire, you will be a hands-on architect responsible for shaping how data drives decisions across underwriting, sales, and operations.While the foundational work has been laid, the most thrilling and impactful challenges are still ahead. You will take charge of a platform ripe for growth: developing entity resolution across disparate real estate data, designing enrichment pipelines that convert raw data into actionable insights, constructing the semantic layer essential for AI-driven analytics, and refining the architecture as we expand into new loan programs and data sources.This role is ideal for you if:You have built and managed a comprehensive modern analytics stack from start to finish, rather than simply contributing to one.Data integrity is your top priority from the outset—not an afterthought.You thrive on enhancing a robust foundation and are driven to achieve ambitious goals.You aspire to be the key data figure in a rapidly growing company—enjoying high ownership, significant impact, and a clear trajectory to team leadership.What You’ll OwnAnalytics Platform — Build It, Run It, Evolve ItTake complete ownership of the production data pipeline—from ingesting external real estate and borrower data to transforming it through a multi-layered model (staging → enrichment → business-ready marts) while ensuring its reliability.Create and maintain the semantic layer—comprising model descriptions, metric definitions, and metadata that fuel BI dashboards, AI assistants, and self-service analytics.

Join VTS as the Head of Data & Analytics, where you will drive the strategic vision for our data initiatives. In this leadership role, you will oversee our data analytics team, ensuring we leverage data to enhance decision-making and drive business outcomes. Your expertise will guide the integration of data-driven insights across all levels of the organization.

Fortell develops AI-powered hearing aids built on custom silicon. The company began in a New York audiology clinic and launched its first product four months ago. Now, Fortell is preparing to enter new markets and expand its distribution network. Role overview The Data Scientist - Analytics Engineer leads analytics and data infrastructure for Fortell. This role shapes decision-making across product development, clinical care, marketing, and business operations as the company grows nationally. What you will do Work independently to clarify complex problems and translate data into actionable insights that improve efficiency Build and manage analytics systems, data models, and data platforms Report directly to the co-founder and COO, who brings experience as a former VP of Data Help establish a data-driven culture from the ground up Location This position is based in New York.

Join Edgewood Partners Insurance Center as a Data & Analytics Solutions Consultant and play a pivotal role in transforming data into actionable insights. You will collaborate with clients to design and implement innovative analytics solutions that drive business success. Your expertise will help our clients optimize their operations and achieve their strategic goals.

Senior Data Analyst Current is an innovative consumer fintech platform dedicated to reshaping financial access for everyday Americans, boasting over five million members. We deliver integrated financial solutions that cater to our members' needs, empowering all Americans to achieve better financial futures. Located in the heart of New York City, our results-oriented culture drives us to enhance our products, accelerate our growth, and empower every team member to make a substantial impact on our mission to improve financial outcomes. ABOUT THE ROLE We are on the lookout for a talented Senior Data Analyst with prior experience in the FinTech and B2C/DTC sectors. In this pivotal role, you will harness data to influence strategic decisions, enhance business performance, refine customer interactions, and ensure a seamless user experience. Your expertise in advanced analytics will help identify trends, evaluate performance, and provide crucial insights that bolster data-driven decision-making throughout the organization. RESPONSIBILITIES Analyze extensive datasets to uncover trends, insights, and opportunities that propel business growth. Create and sustain dashboards and reports to monitor key performance indicators (KPIs) across various business units. Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Employ predictive analytics and machine learning models to enhance business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to refine decision-making and personalization strategies. Deliver actionable insights to leadership regarding business performance, customer behavior, and operational trends. Guarantee data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and foster a data-driven culture within the company.