Senior Analytics Engineer at StubHub | New York

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.

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.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

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

Role overview Legora seeks a Senior Analytics Engineer with a finance focus for its New York City office. This role shapes how data informs financial decisions and improves company operations. The position sits at the intersection of analytics and finance, supporting business growth through data-driven insights. What you will do Develop complex financial models that assist with planning and strategic decisions Analyze financial and operational data to identify trends and highlight areas for improvement Collaborate with finance teams to design and implement analytical frameworks Present actionable insights to stakeholders across the organization Requirements Advanced analytics skills, particularly in financial settings Proven experience building financial models and frameworks Strong problem-solving capabilities Ability to communicate findings to both technical and non-technical audiences Those who excel at turning financial data into clear decisions and enjoy close collaboration with finance teams are encouraged to apply.

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.

SENIOR ANALYTICS ENGINEER At Current, we are revolutionizing the fintech landscape by providing essential financial services to those often overlooked by traditional banking systems. With a member base nearing 4 million and a base in New York City, we thrive in a results-oriented environment that fosters innovation, rapid growth, and the empowerment of our team members to make significant contributions to our mission of enhancing financial outcomes for all. ABOUT THE ROLE As a pivotal member of our data team, you will significantly influence Current's growth trajectory by fulfilling the analytics and data science needs across various departments. Your expertise in constructing dimensional models, managing data warehouses, and developing transformation pipelines will be key to your success. In this role, you will collaborate with data analysts, data scientists, and engineers to meet their data modeling and reporting requirements. You will also partner with the engineering team to create a robust data infrastructure and effective tools for data ingestion, transformation, and analytics. RESPONSIBILITIES Formulate and execute a strategy and roadmap for data warehousing and modeling. Develop core data models and data marts within the Data Warehouse. Design and implement data transformation pipelines, dimensional models, data marts, and aggregation layers using dbt, Airflow, and BigQuery. Create scalable and user-friendly data models that accommodate complex datasets. Utilize Looker as the primary tool for data reporting and analytics, building essential models to facilitate advanced data analysis. Engage closely with teams across Banking, Product, Marketing, Finance, Credit, and Risk to address their analytics and modeling needs. Collaborate with data engineers to establish data integrations and robust infrastructure. Develop a framework and processes for data reconciliation and quality assurance. Build and maintain trust in the data you and your team produce. ABOUT YOU 6+ years of experience as a data engineer or analytics engineer. Proven track record in implementing dimensional models and data marts in a data warehouse, having completed at least one full development cycle. Expertise in building data transformation pipelines and dimensional models using ETL or transformation tools (dbt preferred). Strong understanding of dimensional modeling principles to drive impactful analyses.

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....

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.

About ForaFora is the modern travel agency that empowers travel enthusiasts to establish successful advisory businesses. We are revolutionizing the $100B+ travel agency sector by integrating advanced technology, insightful data, and a supportive community, enabling countless entrepreneurs to thrive on our platform. Our all-in-one platform equips travel entrepreneurs with everything necessary to launch and grow their business, ranging from state-of-the-art tools and personalized training to a dynamic community and exclusive industry partnerships. Our mission is to assist the new wave of travel entrepreneurs in transforming their passion for travel into a rewarding career, whether they choose to work full-time or part-time. We believe that everyone, from veteran professionals to first-time advisors, can create something that is both lucrative and personal.Founded in 2021 by experienced entrepreneurs, Fora has steadily expanded to a dedicated team of 200+ full-time employees located in the heart of New York City. In 2025, we announced our $60 million Series B and C funding rounds, led by Thrive Capital and Insight Partners, with contributions from previous investors including Forerunner and Heartcore Capital. We have also garnered accolades as a LinkedIn Top Startup 2024, Fast Company’s Most Innovative Companies in 2023 and 2025, and Built In's Best Places to Work 2025.We are creating the first genuinely integrated platform for all travel needs—harnessing the best of human expertise and technology to revolutionize how people plan and book travel.About The RoleFora is seeking its inaugural Senior Analytics Engineer to enhance the scalability of our data modeling, curation, and delivery across the organization. As our centralized data team expands, we aim to find a committed leader for the analytics transformation and metrics layer, ensuring that analysts and stakeholders have access to timely, reliable, and actionable insights.This pivotal role will involve establishing analytics engineering standards, developing trusted data marts and metric definitions, and enhancing data quality and performance throughout Fora's data stack. This position reports to the Director of Data & Analytics and collaborates closely with partners in Engineering, Product, Finance, and Growth.

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.

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.

Join Our Team as the Senior Director of Analytics for Casino!At FanDuel, we are on the lookout for a seasoned Analytics leader to spearhead our Analytics team, delivering top-tier data and analytical support to our Casino division and the broader organization. In this pivotal role, you will be at the forefront of driving actionable insights across Commercial, Marketing, Product, Technology, and more.The ideal candidate will bring extensive experience in leading large-scale and highly efficient Analytics teams. You will be responsible for establishing the vision, strategy, and roadmap for performance measurement, customer insights, and optimizing key marketing initiatives throughout the funnel. Your expertise will be instrumental in translating complex data sets and performance trends into concise recommendations that guide decision-making and resource allocation across the business.As a leader, you will develop and mentor a high-performing team, orchestrating cross-functional initiatives that leverage data, automation, and AI to enhance decision-making processes both within and beyond the Analytics domain. This role is highly impactful and visible, requiring the ability to operate at both strategic and operational levels while driving measurable business results through analytics, storytelling, and influence.

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.

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 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 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.

Veeva Systems seeks a Senior Associate for the Crossix Analytics Services team based in New York City. The position focuses on delivering analytics solutions to healthcare clients, helping them make sense of complex data and use it to inform their decisions. Key Responsibilities Provide analytics services tailored to healthcare organizations Analyze and interpret large, multifaceted datasets Offer data-driven insights to guide client choices Role Overview This role involves working directly with healthcare clients to help them understand challenging data sets and translate findings into actionable recommendations. The Senior Associate will play a hands-on role in both analysis and client support.

Join The New York Times as a Senior Analyst in Messaging Analytics, where your passion for data and journalism converge. As a key member of our Data and Insights Group (DIG), you'll collaborate with Product, Engineering, and Design teams to transform data into strategic insights that enhance our journalism and engage our readers. Your role will involve writing SQL, Python, and DBT code to analyze extensive datasets, developing robust data models and pipelines, and conducting A/B tests to assess platform improvements. You'll also create compelling data visualizations and dashboards that promote self-service insights, all while upholding our commitment to journalistic integrity and independence.

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.