Senior Analytics Engineer

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.

The Electrical Maintenance Supervisor plays a pivotal role in supporting the Plant Engineer by effectively leading both salaried and hourly personnel across various aspects of plant engineering, including General Maintenance, Cold End Mechanization, and Batch and Furnace departments. This position is responsible for the installation, repair, and maintenance of all plant systems, equipment, grounds, and facilities, while ensuring compliance with local, state, and federal regulations related to environmental affairs, OSHA, NFPA, and other governing bodies.Key Responsibilities:Assist in the direction and implementation of preventive maintenance programs.Conduct regular inspections of all plant systems, equipment, facilities, and grounds, implementing corrective actions as necessary and overseeing upgrades.Ensure the quality of work performed by maintenance and production staff in the Electrical / Electronic Technician group.Coordinate and supervise all construction and service work executed by external contractors as required.Oversee health and safety initiatives addressing ergonomic factors.Supervise the training of personnel to ensure electricians and electronic technicians are proficient in their roles, maintaining efficiency and high standards.Communicate and enforce adherence to prescribed safety and environmental regulations.Ensure the proper use of safety equipment and compliance with company safety policies.May oversee aspects of the plant apprenticeship program.Qualifications:A strong background in maintenance as an Electrician or Electronic Technician within an industrial setting.Comprehensive knowledge of Plant Electrical Systems, Control Systems, PLCs, AC Motor Drives, Robots, and Quality Inspection Systems, including Hot End Electronics.Experience with Lean Six Sigma principles, fostering a culture of continuous improvement among all relevant personnel.Familiarity with maintenance management software (preferably SAP).Excellent communication skills to effectively engage with all organizational levels.Reporting Structure: This position reports directly to the Plant Engineer.

Why Join Charlie Health?In a world where millions struggle with mental health conditions, substance use disorders, and eating disorders, timely access to care is often hindered by numerous barriers. Charlie Health is dedicated to transforming this landscape by providing personalized, virtual care that fosters connections among clients, clinicians, and their communities. We aim to enhance access to effective care, especially for those with complex needs, ensuring that everyone feels seen and supported.As a rapidly evolving organization, we are expanding our reach to more communities daily, building a dynamic team committed to redefining behavioral health treatment. If you are passionate about using your expertise to make a meaningful impact and improve access to care for those in need, we invite you to join us.About the RoleAs the Engineering Manager for the Core Platform, you will lead a talented team of Platform Engineers, championing high-performance execution while nurturing a culture of trust, empathy, and technical excellence. The Core Platform team plays a crucial role in enhancing developer productivity, AI tooling, observability, shared services, and overall code quality within our core systems. Your contributions will significantly influence our capacity to convert innovative ideas into impactful solutions for our patients.You will be at the forefront of revolutionizing behavioral health care by developing the foundational platform that supports our care model. Your responsibilities will include structured execution, prioritization aligned with business needs, leading sprint ceremonies, roadmap planning, mentoring team members, removing obstacles, and fostering a culture of continuous improvement and effective execution. Collaborating closely with leaders from Engineering, Data, and ML teams, you will help define the vision for the Core Platform team.Join our passionate and innovative team as we tackle the mental health crisis head-on and create life-saving solutions that make a profound difference in the lives of millions. If you resonate with our mission and are excited about the opportunity to help expand access to mental health care, we encourage you to apply today.

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.

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 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.

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.

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.

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.

Jump Trading Group brings together experts in mathematics, physics, and computer science to push the boundaries of research in finance and technology. The company values collaboration, creativity, and intellectual honesty, encouraging team members to challenge themselves and each other while working toward shared goals. Research at Jump not only drives strong returns but also leads to technologies that support startups and research partnerships across industries. About the Core Development Team The Core Development team designs, builds, and maintains the advanced trading platforms that power Jump’s business. This group spans multiple locations and combines software and hardware engineering, data science, and research. Projects range from improving the core trading engine to developing custom hardware, all with the goal of supporting trading operations and strategic objectives. What You Will Do Design, build, and test systems and tools that keep Jump’s trading business moving forward Work closely with traders, quantitative researchers, and fellow technologists to solve complex technical problems Tackle challenges involving CPU architecture, operating systems, networking, and hardware integration Who We’re Looking For Strong problem solvers with a passion for technology and curiosity about how things work Comfortable working in a high-energy setting and collaborating with a diverse team Interest in both software and hardware engineering Locations Roles are available in Chicago, New York, and Austin.

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.

Position SummaryJoin our dynamic team as a Manager of Growth Analytics! We seek a driven and analytical problem solver who thrives in managing diverse projects. This role is perfect for someone passionate about media, marketing, and business intelligence.In this position, you will leverage our proprietary ad effectiveness and measurement tools, along with third-party vendor solutions, to assess the impact of advertising on our clients' businesses. You will also be tasked with understanding the strategic communication needs of our client advertisers and aligning these needs with daily data and reporting issues.

Join Eurofins Scientific, a global leader in bioanalytical testing, as a PSS Analytical Manager. In this pivotal role, you will oversee analytical operations, ensuring high-quality results to meet client expectations. Collaborate with a dedicated team of professionals, driving innovation and excellence in our state-of-the-art laboratory environment.

Position Overview Mediabrands is seeking a proactive and analytical Manager of Growth Analytics to join our dynamic Analytics, Decision Sciences, and Research team. This role involves collaborating with key internal stakeholders and clients to drive measurement, insights, and performance optimization initiatives. The successful candidate will possess an inquisitive mindset, adeptly leveraging data, tools, and analytical techniques to uncover deep insights and narratives. As a subject matter expert, you will continuously seek to expand your expertise and enhance our analytics capabilities. Key Responsibilities Lead the development and execution of ongoing analytics and measurement programs tailored for media planning and investment solutions. Collaborate with internal teams and clients to create comprehensive measurement plans that establish campaign performance benchmarks, media objectives, and a robust statistical framework. Oversee the management of dashboards and insights programs that span across campaigns, competitive intelligence, and audience analytics. Direct brand health survey research initiatives, which include insights development, presentation creation, and optimization recommendations, in partnership with external measurement providers such as comScore, Research Now, and Kantar. Facilitate effective client communication, addressing reporting needs, requests, and inquiries. Manage timelines for dashboards and various client insights deliverables to ensure timely execution. Required Skills and Experience In-depth knowledge of advertising measurement and analytics, with a proven ability to provide actionable insights to both clients and internal teams. Experience in deriving insights from third-party ad serving and digital analytics/attribution tools, including DoubleClick, Adobe Analytics, Google Analytics, and Visual IQ. Proficient in statistical analysis methodologies, including test design and sample requirements. Expertise in at least one statistical programming language such as R or Python. Strong capability to simplify and communicate complex concepts to diverse stakeholders, utilizing data visualization tools like Tableau and Datorama. Desired Skills and Experience 4-5 years of analytical experience, preferably within the advertising or media sectors. General programming knowledge in SQL, Python, and Excel VBA. High proficiency in Microsoft Office Suite, particularly Excel and PowerPoint. Able to thrive under pressure and adept at managing multiple priorities simultaneously. A collaborative team player who can also work independently. Experience in developing customized measurement solutions, including survey design and implementation.

Profound creates tools that help companies understand and manage their AI presence. The team focuses on giving marketing professionals clear insight into how brands perform across AI-driven platforms. Role overview The Product Manager, Analytics, leads the entire product lifecycle for analytics solutions at Profound. This position shapes product ideas, drives execution, and delivers features that make a difference for customers. The role has a direct impact on both the analytics product line and the company’s broader direction. What you will do Own analytics products designed for marketing teams to measure brand performance on AI answer engines. Manage core offerings, including Answer Engine Insights (AEI), Agent Analytics (AA), and Prompt Volumes (PV). Define and refine metrics related to brand performance, share of voice, and content health. Work closely with customers to ensure analytics tools provide actionable insight into AI presence. Collaborate with engineering and design teams to deliver features that distinguish Profound as a central resource for brand analytics in the AI space. Location This role is based in New York, New York.

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.