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Join Oscar Health as a Lead Analytics Engineer, where you will spearhead data-driven initiatives to enhance our healthcare services. You will work closely with cross-functional teams to design and implement robust analytics systems that drive business decisions. This role requires a strong background in data modeling, ETL processes, and proficiency with analytical tools.
Oscar Health is a technology-driven health insurance company focused on providing members with better healthcare experiences. Our innovative solutions leverage data analytics and user-friendly technology to empower individuals on their health journey.
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Resonance
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, Resonanc…
Rightway Healthcare
About the Role:Rightway Healthcare is seeking a talented Analytics Engineer to enhance and expand our clinical programs. This role focuses on constructing robust analytics frameworks that support our care complete initiatives. As an integral part of our team, you will bridge the gap between analytics engineering, clinical program management, and strategic business decisions. If you have a knack for transforming intricate clinical workflows into clean, actionable data models, this position is tailored for you. Your contributions will be crucial in developing and sustaining our clinical program data models, integrating new data sources, and refining existing ones to facilitate seamless reporting and drive innovation through advanced analytics. You will be responsible for delivering and analyzing data for various use cases within our Unified Data Warehouse (UDW) while operationalizing AI and ML solutions that yield significant healthcare insights.
DIRECTOR OF ANALYTICS ENGINEERINGCurrent is a pioneering consumer fintech platform that is revolutionizing financial accessibility for millions of Americans. With a community of over five million members, we deliver financial solutions that integrate seamlessly to meet our members' needs, empowering them to build their financial futures. Our headquarters in New York City fosters a results-oriented environment that encourages the development of superior products, rapid growth, and a culture where every team member can make a significant impact on our mission to enhance financial outcomes.ABOUT THE ROLEAs the Director of Analytics Engineering, you will play a pivotal role as both a strategic visionary and a hands-on leader in Current’s data transformation efforts. You will spearhead the Analytics Engineering initiatives for Business Intelligence (BI) and analytics, ensuring that our data and analytics framework is not only scalable and reliable but also in perfect alignment with our business objectives.This high-impact leadership position demands a 'player-coach' approach. You will craft the long-term vision for our data warehouse, oversee the execution of intricate ETL/ELT pipelines, and serve as the key liaison between technical engineering teams, analysts, product managers, and business stakeholders. In addition to managing the tech stack, you will focus on mentorship, organizational structuring, and defining career trajectories for an elite team of analytics engineers.RESPONSIBILITIESDefine and implement the Analytics Engineering and BI strategy. Own the roadmap and P&L for data warehousing, modeling, and business intelligence across the organization.Act as a hands-on engineer when required, optimizing complex SQL, reviewing designs, dbt models, and troubleshooting high-priority pipeline issues.Lead the design and execution of robust dimensional models, data marts, and aggregation layers in BigQuery utilizing dbt and Airflow.Collaborate with various department leaders and stakeholders to transform business requirements into high-fidelity data models that fuel Looker and downstream analytics.Manage and cultivate a world-class Analytics Engineering team, including an offshore team. Establish clear career paths, conduct performance evaluations, and nurture a culture of technical excellence and data curiosity.Create frameworks for data reconciliation, quality management, and security, ensuring organizational confidence in the accuracy and integrity of our data assets.Oversee Business Intelligence tools and frameworks.Encourage the adoption of data models, customer data platforms, business intelligence tools, and reporting frameworks.
Metropolis
Join our dynamic team at Metropolis as a Senior Analytics Engineer. In this pivotal role, you will harness data insights to drive decision-making and optimize our analytics framework. You will collaborate with cross-functional teams to enhance our data capabilities and contribute to innovative projects.
RightWay Healthcare
ABOUT THE ROLE: RightWay Healthcare is seeking an innovative Analytics Engineer to contribute to the design and development of a cutting-edge PBM Financial Risk Engine. This engine will integrate claims data, contract terms, pricing, and utilization metrics to enhance financial forecasting, risk evaluation, and performance tracking. The ideal candidate will have a robust background in dbt and analytics engineering, thriving at the crossroads of healthcare economics, PBM operations, and data modeling. You will play a crucial role in shaping and refining our financial risk engine data models, incorporating new data sources, optimizing existing ones, and ensuring that data is presented in a manner that facilitates efficient reporting and drives analytics innovation. This position will involve delivering and analyzing PBM financial data for diverse analytics applications within our Unified Data Warehouse (UDW) and implementing AI and ML solutions to generate impactful healthcare insights. WHAT YOU’LL DO: Utilize your hands-on analytics and data expertise to address complex, dynamic financial and operational challenges using PBM data. Design, develop, and maintain scalable, analytics-ready data models (mainly in dbt) that drive the PBM financial risk engine, utilizing claims, eligibility, pricing, rebates, guarantees, and contract data from our Unified Data Warehouse (UDW). Transform intricate PBM contract and pricing structures (e.g., plan paid vs. member paid, rebates, guarantees, caps, fees, exclusions) into clear, auditable data models that facilitate financial analysis and risk evaluation. Collaborate closely with underwriting, finance, client success, and PBM operations teams to comprehend financial assumptions, risk factors, and reporting needs, converting them into dependable metrics and models. Create curated financial and risk data marts and semantic layers that empower self-service analysis for forecasting, scenario modeling, and executive reporting. Take ownership of core financial KPIs and risk metrics end-to-end, from raw claims and contract inputs to production-grade models, ensuring consistency and traceability. Establish automated data quality checks, reconciliations, and controls to validate financial outputs, ensuring alignment with source systems and contractual logic. Continuously enhance data models and warehouse performance to accommodate large-scale claims volumes and time-sensitive financial analyses. Contribute to data governance by setting modeling standards, documentation, and guidelines that support auditability, explainability, and long-term maintainability. Effectively communicate complex financial insights to stakeholders.
Join Us at LifeMD!LifeMD is a trailblazer in the digital healthcare industry, dedicated to enhancing accessibility to virtual medical care, pharmacy services, and diagnostics. Our mission is to make healthcare more affordable and convenient for everyone. With a focus on both treatment and prevention, we aim to optimize patient experiences and improve health outcomes across more than 200 health concerns.To support our growing patient community, LifeMD utilizes a comprehensive digital care platform, an affiliated medical group operating across all 50 states, a state-of-the-art pharmacy, and a dedicated U.S.-based patient care center. With vibrant offices located in New York City, Greenville, SC, and Huntington Beach, CA, we are powered by a passionate team of professionals from various fields, all committed to transforming healthcare. Our employees enjoy a collaborative, inclusive work environment and a hybrid work culture, along with abundant opportunities for personal and professional growth. Ready to make a difference? Join us in shaping the future of accessible, innovative, and compassionate healthcare.Role OverviewAs an Analytics Engineer focused on Marketing, you will be a SQL aficionado with a strong foundation in marketing analytics. Your primary responsibility will be to analyze data and develop frameworks that empower our marketing team to enhance performance across paid media, email marketing, and customer acquisition channels. Collaborating closely with our media buyers, email marketing specialists, and business leaders, you will assess campaign performance and gauge the success of new product launches. The ideal candidate will blend technical prowess with analytical insights and effective communication skills to facilitate informed decision-making and drive tangible business results.
Brooklyn Sports & Entertainment
Join Brooklyn Sports & Entertainment as an Analytics Solutions Engineer, where we craft exceptional, authentic experiences that reshape the realms of sports, entertainment, and hospitality—the Brooklyn Way. As the parent company of iconic brands such as the Brooklyn Nets, NY Liberty, and Barclays Center, we thrive at the crossroads of live entertainment, premium hospitality, and community engagement.Our growing portfolio now encompasses BK MAG, the Brooklyn Wine Club, and various location-based entertainment ventures. Whether on the court, on stage, or within our workplace, we are committed to a relentless pursuit of excellence—constantly innovating, pushing boundaries, and expanding our fan base. We prioritize building a culture of belonging and inclusion, ensuring that every interaction reflects our core values of growth mindset, integrity, accountability, and care.
Pelago
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.
Oscar Health
Join Oscar Health as a Lead Analytics Engineer, where you will spearhead data-driven initiatives to enhance our healthcare services. You will work closely with cross-functional teams to design and implement robust analytics systems that drive business decisions. This role requires a strong background in data modeling, ETL processes, and proficiency with analytical tools.
Join SeatGeek, where we believe live events are transformative experiences that bring people together. With our innovative technology and customer-centric approach, we are revolutionizing the ticketing industry.We are seeking a passionate Analytics Engineer to become a vital member of SeatGeek’s Data team. In this dynamic role, you will collaborate with business stakeholders to facilitate effective data management and insightful analyses. As an Analytics Engineer, you will be instrumental in discovering, extracting, storing, cataloging, modeling, and processing our vast amounts of data. You will take charge of our analytics data layer and will work on extracting data from production databases and third-party sources, designing efficient data models, and orchestrating jobs in Airflow to produce clean, well-documented datasets that are ready for analysis. This role requires strong collaboration, as you will maintain relationships with analysts and production engineers to unlock the value of our data. Your contributions will play a crucial part in our mission to position SeatGeek as the premier destination for live event enthusiasts.The live event sector is experiencing unprecedented growth, and we are poised to capitalize on this opportunity. Our teams require actionable metrics and feedback loops to inform critical business decisions. If you are someone who is passionate about leveraging data to drive decision-making, this is the perfect role for you.
Duetti
About DuettiDuetti is transforming the way independent music creators monetize and elevate their careers. Established in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti collaborates with creators to unlock the potential of their catalogs through flexible and transparent agreements. We also provide exceptional catalog management, distribution, and marketing services. Since inception, Duetti has partnered with over 1,100 music creators across 40 countries, including renowned artists such as Connor Price, Ingrid Contreras, and Brent Morgan, empowering them to monetize their music according to their own terms and connect with broader audiences.Supported by prestigious investors like The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has successfully raised over $635 million to support independent music creators. Driven by a commitment to independence and financial empowerment, Duetti is dedicated to fostering a more sustainable future for music creators worldwide.With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package that includes healthcare coverage, flexible paid time off, and a hybrid work model. We provide an ambitious and high-ownership environment where your contributions will have an immediate and significant impact.Job DescriptionWe are seeking an Analytics Engineer to become an integral part of our Data Team, playing a vital role in developing systems that enable artist sourcing, track pricing, portfolio management, and catalog expansion. This position operates at the crossroads of analytics, engineering, and product development, offering high autonomy, technical ownership, and direct influence on business outcomes. You will report to the Head of Data & Analytics and contribute to shaping the future of our data products.Since data is at the core of our operations, the Data Team collaborates across all departments within the company. While your primary focus will be on optimizing deal flow and catalog pricing—key components of Duetti's business model—you will also work alongside music industry experts, financial specialists, and senior engineers and data scientists on various initiatives.
Charlie Health
Why Choose Charlie Health?Across the nation, millions grapple with mental health issues, substance use disorders, and eating disorders, often facing obstacles in accessing care. Limited local resources, prolonged wait times, and a lack of personalized treatment can leave individuals feeling overlooked and unsupported.At Charlie Health, we aim to change this narrative. Our mission is to connect individuals with vital behavioral health treatment, providing personalized, virtual care that fosters connection—between clients and clinicians, care teams, family, and supportive communities. By concentrating on those with complex needs, we are enhancing access to meaningful care and promoting better outcomes from the comfort of their homes.As a rapidly expanding organization, we are reaching new communities daily and assembling a team that is redefining the landscape of behavioral health treatment. If you are eager to leverage your skills for transformative change and to help more individuals access the care they deserve, we would love to hear from you.About the RoleWe are seeking a Senior Analytics Engineer to develop and scale the data infrastructure that supports decision-making at Charlie Health. This pivotal role involves transforming raw data into actionable insights, ensuring our therapists, clinical teams, and business stakeholders have access to high-quality, reliable data. You will collaborate closely with product, engineering, and analytics teams to design scalable data models, optimize workflows, and foster a culture of experimentation and data-driven decision-making. This position is essential for making Charlie Health’s data more accessible, accurate, and impactful—ultimately enhancing outcomes for the teens and young adults we serve. We are a team of passionate, innovative professionals committed to addressing the mental health crisis and playing a key role in delivering life-saving solutions. If our mission resonates with you and you’re excited about the chance to broaden access to mental healthcare and profoundly impact millions of lives, we encourage you to apply today.
At StubHub, we are dedicated to transforming the global live event experience. Whether it's a person's first concert or their hundredth game, we strive to provide exceptional service from the very first ticket search to the moment they enter the venue. Our commitment extends to sellers as well, ensuring that whether a fan is selling a single ticket or a promoter is managing a large stadium tour, StubHub remains the most secure and user-friendly platform available to millions of fans worldwide.We are in the process of rebuilding our data foundation from the ground up, and we are seeking aSenior Analytics Engineer who excels at the intersection of data infrastructure, business strategy, and collaborative teamwork. If you are passionate about owning essential systems that will drive pricing, personalization, experimentation, and more—this opportunity is for you.
The New York Times
Join The New York Times as an Engineering Manager, spearheading the Analytics Environment team within our Data Platform division. In this pivotal role, you will cultivate a dynamic, secure analytics and data prototyping environment that empowers users across the organization to unearth insights and conduct in-depth analyses. This position is based in our vibrant New York City headquarters and offers a hybrid working model.
PermitFlow
At PermitFlow, we are revolutionizing the construction industry in America through the power of applied AI. Our innovative solutions address one of the largest challenges in the economy: deciphering what can be built, where, and how. Our AI-driven workforce empowers leading construction firms by streamlining processes from permitting and licensing to inspections and project completions, thereby accelerating progress in housing, clean energy, and infrastructure development nationwide.Despite being a robust $1.6 trillion industry, construction faces significant hurdles such as delays, capital wastage, and missed opportunities. PermitFlow has transformed over $20 billion in projects, delivering unmatched speed, accuracy, and visibility, which enables contractors to minimize compliance time, mitigate risks, and scale confidently.As America embarks on a CAPEX super-cycle, encompassing everything from data centers to renewable energy, joining PermitFlow means being at the forefront of AI technology that drives the next wave of industrial growth.With over $90 million raised, including our recent Series B funding from prestigious investors like Accel, Kleiner Perkins, Initialized, and Y Combinator, we have the backing of industry leaders from OpenAI, Google, Procore, and more.Our headquarters are located in New York City, and we offer a hybrid working model (3 in-office days per week). We encourage applications from NYC-based candidates or those willing to relocate.Role OverviewWe are seeking a driven and skilled Analytics Engineer to join our dynamic team. In this pivotal role, you will design, construct, and maintain robust data infrastructures that facilitate scalable and actionable business intelligence. Collaborating closely with engineering, product teams, and stakeholders, you will ensure data integrity, enhance analytics processes, and support informed decision-making across the organization.What You'll DoDevelop and implement scalable data models tailored for analytics and comprehensive company reporting, continuously evolving them to align with changing business requirements.Create and manage efficient data pipelines to transform datasets for analytics purposes.Work collaboratively with product and engineering teams to integrate data from diverse sources, including PermitFlow’s CRM, third-party vendors, and internal systems, while optimizing for performance and reliability.
Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.
Counsel Health
Counsel Health is hiring an Analytics Engineer for its New York office in Flatiron. The team has built a strong foundation with a cloud data warehouse, ETL pipelines, and event tracking. Now, the focus shifts to unlocking insights from this data. Role Overview This position centers on building and maintaining the semantic layer that powers analytics across the company. The Analytics Engineer develops core data models, ensures reliable business metrics, and becomes the go-to resource for questions like, "How do we measure this?" What You Will Do Design and Maintain Data Models: Create and update models that define key business metrics, including clinical outcomes, revenue, and resource utilization. Set and uphold the single source of truth for these metrics. Orchestrate and Monitor Data Pipelines: Run dbt orchestration with alerting, CI/CD, and data quality checks. Spot and resolve issues before they affect dashboards. Build Reverse ETL Pipelines: Move clean, structured data from the warehouse back into production systems. Support use cases like cohort definitions, marketing analytics, and operational features. Manage Data Compliance: Oversee access controls for PHI data. Ensure the data layer meets HIPAA requirements and remains accessible to those who need it. Qualifications At least 3 years in analytics engineering, data analytics, or a similar data-focused role. Strong skills in SQL and dbt. Experience with BigQuery or other cloud data warehouses (Snowflake, Redshift). Background in a regulated industry (healthcare, fintech, insurance, or government). Experience managing sensitive data and access controls; HIPAA knowledge is a plus. Hands-on with data orchestration tools (such as Paradigm, dbt Cloud, or Airflow) and integrating analytics data into production systems. What Sets You Apart Contextual Thinker: Comfortable translating business questions and ambiguous requirements into clear, well-structured data models. Focused on the needs of stakeholders, not just the technical details.
As a pivotal leader at Datadog, you will manage a dynamic, hands-on engineering team dedicated to constructing the secure and scalable Core Analytics Data Access Platform. This innovative platform propels Datadog’s Applied AI and analytics capabilities, providing a unified interface for AI and analytics teams to easily discover and self-serve production-ready datasets while ensuring necessary legal and compliance standards are met. Your responsibilities will include steering the technical direction, contributing to design and code, and collaborating with Applied AI, Product Analytics, and internal platform teams to deliver reliable datasets and APIs for model training and analysis. This role offers a unique blend of daily engineering leadership and long-term platform strategy, with potential for growth into an EM2 position as the platform expands in scope and impact.At Datadog, we cherish our office culture, emphasizing the importance of collaboration and creativity. We embrace a hybrid workplace model, enabling our Datadogs to achieve a work-life balance that suits their individual needs.
Tiger Analytics
Tiger Analytics is a rapidly expanding advanced analytics consulting firm known for its innovative solutions. Our expert consultants possess extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We proudly serve as a trusted analytics partner for numerous Fortune 100 companies, helping them unlock significant business value from their data. Our leadership and success have garnered recognition from esteemed market research firms such as Forrester and Gartner. We are on the lookout for exceptional talent to continue building the world's leading analytics consulting team.Key Responsibilities:Lead the architecture of solutions in Product Lifecycle Management (PLM) systems focused on regulatory compliance, safety needs, and supply chain quality.Bring 8 to 12 years of solution architecture experience with hands-on expertise in PLM.Analyze, understand, and identify new opportunities to enhance the application landscape.Propose improvements to business processes through innovative technical solutions that enhance user experience.Facilitate the integration of processes, technologies, and people to achieve comprehensive efficiency.Conduct business and system analysis, demonstrating a solid grasp of industry best practices and staying updated on regulatory compliance and quality trends. Capture business requirements effectively and communicate options clearly.Manage the integration of system solutions, ensuring production releases meet business expectations while adhering to technical standards. Provide clear project status updates to management.Support projects throughout their lifecycle.
Tiger Analytics
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
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Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, or location & role pages.
