Senior Manager of Data Analytics Engineering

Who We AreAt CarGurus (NASDAQ: CARG), we empower individuals to navigate their automotive journey with confidence. What began as a small group of dedicated developers focused on enhancing trust and transparency in car shopping has transformed into the largest and fastest-growing automotive marketplace, achieving profitability for over 15 years.What We DoThe automotive landscape is rapidly changing, and so are we. We are committed to moving the entire car buying experience online, assisting our customers through every phase, from selling an old vehicle to financing, purchasing, and delivering a new one. Our platform attracts tens of millions of visitors each month, and approximately 30,000 dealerships utilize our innovative solutions. Our employees thrive in a culture that prioritizes kindness, collaboration, and innovation—equipping our Gurus with the resources they need for career advancement. Join us in disrupting a trillion-dollar industry!Role OverviewCar shopping can be a daunting task. At CarGurus, we leverage data and technology to simplify this process, providing individuals with the tools necessary to find, buy, finance, or sell a car with ease. Our impact is substantial as we are the most-visited car shopping site in the U.S. and are rapidly expanding our reach internationally. Ready to embark on this journey with us?The Data Engineering team is seeking a Senior Manager of Analytics Engineering to facilitate data-driven decision-making across the organization. You will oversee the development of scalable and high-performance data models that support reporting solutions for various stakeholders, including Product Management, Marketing, and Finance. We are in search of a collaborative leader who can actively influence our corporate analytics strategy as we grow and evolve.

Klaviyo is looking for a Senior Analytics Engineer based in Boston, MA. This position centers on building analytics solutions that help guide marketing and product decisions throughout the organization. Key responsibilities Create analytics tools and models that enable data-driven choices Collaborate with teams to refine marketing and product strategies using insights from data Use analytics expertise to address complex business challenges and deliver measurable results Role focus This role plays a vital part in shaping how Klaviyo uses data to inform decisions and improve outcomes across departments. The Senior Analytics Engineer will work hands-on with data, partnering with teams to turn insights into action.

WHOOP helps people understand their bodies and habits to improve performance. The team’s mission is to give individuals the tools and insights needed to reach their goals. Role Overview The Senior Manager of Product Analytics leads analytical work across three key areas: core product analytics (covering sleep, strain, and recovery), hardware product analytics (working with technical product managers on device and sensor topics), and algorithmic analytics (connecting algorithm development with product strategy). This leader mentors and develops a team of analysts, while also staying involved in hands-on analysis. What You Will Do Guide analytical projects that inform product decisions for sleep, strain, and recovery features Partner with technical product managers to address hardware and sensor analytics challenges Integrate algorithm development into product strategy through rigorous analysis Mentor and grow a team of analysts, providing both leadership and technical guidance Balance strategic thinking with direct, hands-on analytical work What We Look For Strong background in data analytics Interest in product-driven decision making Ability to tackle complex, ambiguous problems and turn them into actionable insights Comfort working at the intersection of product strategy, technical evaluation, and analytics Experience mentoring or leading analysts Industry experience is valued but not required; analytical skill, curiosity, and clear communication are most important Location Boston, MA

Role Overview Klaviyo is hiring a Software Engineer II focused on Analytics Data Engineering in Boston, MA. This position centers on building and maintaining data systems that support analytics across the company. What You Will Do Work with teams from different disciplines to design and implement data pipelines. Create scalable solutions that help drive data-informed decisions throughout Klaviyo. Use modern technologies to support analytics initiatives and improve data infrastructure.

Tiger Analytics is a leading advanced analytics consulting firm, recognized as a trusted partner by several Fortune 1000 companies. We specialize in transforming data into actionable business insights through our expertise in Data Science, Machine Learning, and Artificial Intelligence. Our contributions to the field have earned accolades from top market research firms like Forrester and Gartner.We are looking for a dynamic Manager or Senior Manager with a robust background in Life Sciences and substantial hands-on experience in commercial analytics. In this pivotal role, you will spearhead the development of a Kidney Commercial Data Product to support an upcoming pharmaceutical launch. You will lead a small, dedicated team in designing and building a Snowflake-native, Power BI–integrated data product from inception to launch, focusing on data product ownership, metric design, and stakeholder alignment.Key Responsibilities:Collaborate with Life Sciences stakeholders to comprehend business requirements and translate them into effective analytical solutions.Oversee the complete lifecycle of the commercial data product for the kidney launch, from vision to execution.Convert launch strategies into segmentation frameworks, KPIs, and data products utilized by commercial leadership.Ensure stakeholder alignment across Marketing, Sales, Market Access, and Analytics divisions.Manage and prioritize the product backlog, ensuring it aligns with launch milestones. Work closely with the engineering team to design scalable Snowflake-native data models.Maintain a strong understanding of Power BI's semantic model, including measures, relationships, and performance.Facilitate self-service analytics through well-structured datasets rather than just dashboards.Establish governance for KPIs, track adoption, and define success metrics for the product.Lead a small cross-functional team comprising data engineers and analysts.Operate within an agile delivery framework, ensuring clear sprint outcomes and visibility for executives.Act as the primary liaison between business stakeholders and the technical team.

ezCater, Inc. seeks a Director of Data & Analytics - Operations to guide data strategy for operational teams. This remote role centers on applying analytics to streamline processes and drive business growth. Role overview The Director will collaborate with teams across the company, helping to ensure that operational decisions rely on strong data insights. Building connections with colleagues from different departments is essential for this position. Key focus areas Shape and implement data strategy for operational functions Use analytics to identify opportunities for greater efficiency Support business growth through data-driven recommendations Work location This position is fully remote, though ezCater is based in Boston, MA.

Join Coupa Software as a Lead Analytics Engineer, where you will play a critical role in driving data-driven decision-making across the organization. You will lead a team of analytics professionals, working collaboratively to develop and implement advanced analytical solutions. Your expertise will help transform complex data into actionable insights, ultimately contributing to the company’s success.

Later stands as the leading innovator in influencer marketing, empowering brands to launch unforgettable campaigns with confidence. By harnessing authentic creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most significant investments.Powered by a state-of-the-art AI platform and over a decade's worth of proprietary data—comprising billions of social interactions, impressions, and more than $2.4 billion in verified influencer-driven purchases—Later equips teams with the insights necessary to predict campaign success before execution.Combining trusted analytics with expert guidance, Later simplifies influencer marketing, allowing brands to select the right creators, manage comprehensive campaigns, and achieve substantial growth in awareness, engagement, and revenue. Trusted by top-tier enterprise brands like Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only capture attention but also deliver tangible results. Discover more at later.com.About this Position:Later is in search of a proactive Director of Data Analytics to lead our Insights & Analytics team. This pivotal leadership position involves steering a diverse group of embedded analysts who support various departments, including Marketing, Sales, Client Services, Creator Success, RevOps, and Product. You will take ownership of the analytics roadmap, our business intelligence layer, and the strategic use of data within the organization. This role blends strategic vision with hands-on contributions, where you will deliver impactful analyses alongside your team members. Your time will be evenly divided among three key areas: strategic leadership, individual contributions, and team management. As a strategic leader, you will shape the vision for the Data Analytics team, spearhead strategic initiatives, and nurture the function's growth while remaining engaged with day-to-day deliverables.

We are seeking a dynamic and skilled Data & Analytics Lead to guide our data strategy and analytics initiatives. In this role, you will lead a team of analytics professionals, driving data-driven decision-making across the organization. You will be responsible for developing and implementing advanced analytics solutions, ensuring the integrity and accuracy of data, and collaborating with cross-functional teams to identify opportunities for improvement.Your analytical prowess and leadership skills will be crucial in enabling the organization to leverage data effectively for strategic planning and operational excellence.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives our team members—whom we affectionately refer to as Klaviyos—bring to our innovative workplace. We believe that everyone deserves an equitable opportunity for success and value the unique insights each individual contributes beyond conventional job qualifications. If you feel you are close to the mark but may not meet every requirement, we encourage you to apply. Curious about life at Klaviyo? Visit klaviyo.com/careers to explore how we empower creators to take charge of their own destinies.At Klaviyo, we thrive on overcoming complex engineering challenges and seek engineers who have specialized skills yet are passionate about building, owning, and scaling features from inception to completion, while overcoming any hurdles or technical challenges that arise. We inspire one another to step outside our comfort zones, embrace new technologies, and strive to make each day an improvement over the last.Team Overview:Klaviyo operates a cutting-edge real-time data analytics platform primarily developed in Python, designed to handle extensive scale and hosted on Amazon Web Services (AWS). The Data Automation team is responsible for creating tools and establishing best practices that empower our Data Platform, fueling core Klaviyo functionalities and generating insightful, data-driven results.As a foundational member of the Data Automation team, you will define both the technical and organizational vision for the team. Your leadership will guide the design and development of systems critical to our analytics infrastructure.Team Tech Stack:AWSTerraformPythonKubernetesClickhouseDynamoDBMySQLKafkaSparkFlinkAirflowHow You’ll Make an Impact:Lead and nurture a team of 7+ engineers to realize your data automation vision and roadmap.Coach engineers, oversee and review technical documentation, and articulate a phased approach to project execution.

At WHOOP, our mission is to unlock the full potential of human performance. We empower individuals to reach their optimal performance levels through a profound understanding of their physiological needs and daily habits.We are on the lookout for a strategic and data-driven Senior Manager for Health Product Analytics to join our dynamic Product Analytics team. This role plays a pivotal part in supporting our Healthcare Product group, making it an excellent fit for those who are passionate about driving behavior change, improving health outcomes, and crafting exceptional digital experiences. In this position, you will be instrumental in developing innovative features centered around early detection, physiological coaching, and personalized health guidance.The ideal candidate will possess a strong fluency in data analytics, be driven by product-centric thinking, and be eager to tackle complex analytical challenges. We encourage this individual to cultivate their curiosity and advocate for ideas that significantly enhance the WHOOP member experience. Moreover, this role requires a hands-on approach, as you will not only lead your own workstreams but also mentor and develop a team of analysts.

Toast is revolutionizing the restaurant industry by providing cutting-edge technology designed to empower restaurants and local businesses in a digital landscape. Our solutions enable business owners to streamline operations, boost sales, engage customers, and enhance employee satisfaction. About Toast At Toast, we are committed to building a comprehensive restaurant platform that equips establishments to adapt, take control, and thrive in a competitive market. The Customer Success (CS) organization is integral to our mission, ensuring that customers maximize the value of our products while we enhance our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is central to this transformation, designing the data infrastructure that enables proactive, data-informed engagement across approximately 150,000 restaurant locations. Role Overview Join us as a foundational member of a newly established data engineering function within Customer Success. You will have the unique opportunity to influence the architecture, tools, domain model, and team culture from inception. This is a rare chance to create something from the ground up, with direct visibility to VP and senior CS leadership. As an Analytics Engineer on the Customer Success Data & Analytics team, you will connect raw data to actionable business insights. You will develop the semantic layer, dbt models, and analytics datasets that drive reporting, dashboards, and AI-enhanced workflows throughout the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Engineers, Analysts, and CS operations leaders to ensure that data is not only available but also reliable, consistent, and primed for decision-making. This hands-on role focuses on data modeling, metrics standardization, and analytics infrastructure, directly contributing to CS outcomes like customer retention, agent performance, and proactive customer engagement. A Day in the Life (Responsibilities) Develop and manage dbt models that convert raw CS source data from platforms like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across various CS domains, including Customer 360, case management, omnichannel interactions, and agent performance. Design and oversee the semantic and metrics layer for critical CS KPIs, such as customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring uniform definitions across all reporting channels. Collaborate with CS analysts and business stakeholders to translate reporting requirements into reusable and well-documented data models. Implement data testing, validation, and observability frameworks to ensure data accuracy and reliability.

Tiger Analytics is at the forefront of leveraging AI and analytics to tackle some of the most pressing challenges faced by organizations worldwide. We craft tailored solutions driven by data and technology for numerous Fortune 100 companies. With offices in various locations across the US, UK, India, and Singapore, we also boast a significant remote workforce that transcends borders.We are on the lookout for a Senior Data Architect – Patient Services to join our esteemed Life Sciences practice. In this pivotal role, you will ensure the integrity and reliability of Patient Services (PS) data, serving as the essential link between external Patient Services Hub vendors and our internal enterprise systems. This high-impact position merges technical data modeling with operational oversight, requiring you to enhance data quality, investigate complex lineage issues, and guarantee that patient data is

Overview - We are on the lookout for a talented Analytics Engineer to spearhead the data foundations that empower our go-to-market (GTM) teams. Your role will involve constructing reliable data models, shaping key metrics, driving automation, and transforming raw data into actionable insights and data products that enhance Sales and Customer Success.Why Choose Lovable?At Lovable, we empower individuals and organizations to build software using any programming language. From solo entrepreneurs to teams at Fortune 100 companies, millions rely on Lovable to transform innovative ideas into tangible products swiftly. We are pioneers in a fundamental shift in software development, offering you a unique opportunity to reshape the digital landscape. With over 2 million users across 200+ countries, Lovable is facilitating business launches, automating workflows, and bringing creative visions to life. And this is just the beginning.Our team is small but exceptionally skilled, dedicated to building a transformative company. We value extreme ownership, rapid execution, and collaborative teamwork. We seek passionate individuals who are eager to make a significant impact on the world.Desired Candidate ProfileWe invite applications from Analytics Engineers with a background in Data Engineering or Analytics Engineering, who can act as comprehensive analysts, responsible for everything from raw data to insightful operationalization.Ideal candidates will possess:Proficient SQL skills and analytical data modeling experience (preferably with dbt or SQLMesh).Experience with ELT/ETL processes and cloud data warehouses (such as Snowflake, BigQuery, Redshift, Databricks).Familiarity with Python for automation and basic data engineering tasks.Experience in creating dashboards, utilizing BI tools, and enabling self-service analytics.Excellent communication skills, the ability to collaborate effectively, and a comfort level in ambiguous situations.Bonus: Experience with AI/LLM products, instrumentation, experimentation, or in startup environments.Key ResponsibilitiesCollaborate with Sales and Customer Success on data reporting needs; transform ambiguous business inquiries into structured data models, analyses, actionable insights, and data-driven products.Develop and uphold data warehouse models that serve as the definitive source for product usage and GTM metrics.Model CRM data, usage data, and billing data to enable Sales and Customer Success automation, CRM enrichment, lead definition, and GTM tooling.Design metrics, dashboards, and data user interfaces using Hex and Lovable for GTM leadership.

Join CGS Federal as a Data Engineer!Employment Type: Full-Time, Mid-LevelDepartment: Business Intelligence We are on the lookout for a dedicated and innovative Data Engineer to enhance our rapidly expanding Data Analytics and Business Intelligence platform. In this role, you will provide pivotal solutions that empower our federal clients by transforming data into actionable insights. The ideal candidate is a critical thinker, an avid learner, and eager to broaden their expertise across various technologies while tackling complex challenges. At CGS, we unite motivated, skilled, and creative individuals to address the government's most pressing issues using advanced technology. We seek candidates who are enthusiastic about government innovation, value collaboration, and are proactive in anticipating the needs of our clients. Our supportive environment fosters professional growth through numerous learning opportunities. Key Responsibilities:- Develop and manage data pipelines to effectively store, manage, and provision data for consumers.- Actively participate in an Agile/Scrum team while adhering to best practices.- Write efficient code to ensure the reliability and performance of data extraction and processing.- Facilitate continuous automation processes for data ingestion.- Uphold technical excellence by applying lean-agile engineering principles, including API-first design, simplified design, continuous integration, version control, and automated testing.- Collaborate with program management and engineers to implement and document complex and evolving requirements.- Foster a culture of excellence in customer service, innovation, collaboration, and teamwork.- Work alongside a diverse cross-functional team, including user experience researchers, designers, product managers, engineers, and functional specialists.

ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.

ezCater is at the forefront of food technology for workplaces across the United States, seamlessly connecting those in need of workplace meals with over 100,000 restaurants nationwide. Our platform offers flexible and scalable solutions for everything from regular employee meals to one-time meetings, all supported by 24/7 customer service provided by real people. Furthermore, ezCater empowers companies to manage their food expenditures through a single, customizable platform. For our restaurant partners, we drive growth by increasing orders and attracting high-value customers. We are proudly backed by top-tier investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.As a Senior Analyst in our dynamic Marketing Analytics team, you will harness the power of data to propel innovation. Our culture emphasizes collaboration, bridging Marketing, Analytics, Data Engineering, Customer Service, and Product teams. You will be a key partner to a talented group, tackling complex analytical challenges that bolster our go-to-market strategies. This role transcends mere data analysis; it’s about fostering innovation and making a significant impact.Here, you will influence our customer strategy using state-of-the-art marketing technology. Data serves as our guiding principle, steering every decision, particularly in our marketing efforts. If you have a passion for developing retention strategies, enhancing performance measurement, creating impactful reporting, conducting A/B tests, and quantifying the effects of our marketing initiatives on customer order activity, we are eager to connect with you. Your journey toward shaping the future begins here!

Springs Works Therapeutics is hiring a Vice President of Commercial Data, Analytics & Insights for a hybrid role based in Boston. Role overview This leadership position focuses on guiding the company’s commercial data and analytics strategy. The Vice President will oversee a team responsible for gathering, managing, and interpreting data to support business decisions across commercial operations. Key responsibilities Lead and develop a team dedicated to commercial data, analytics, and insights Drive the use of data to inform product strategies and improve market performance Ensure data management and analytics efforts support informed decision-making throughout commercial functions Requirements Extensive experience in data management and analytics Proven ability to lead teams and deliver actionable insights Strong strategic thinking and leadership skills

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Role Overview redsox is hiring a Data Engineer in Boston, MA. This role focuses on designing and building data solutions that support decision-making throughout the company. The Data Engineer will work closely with teams from different departments to understand their needs and deliver reliable, scalable data pipelines. What You Will Do Design and implement data pipelines to support analytics and reporting Collaborate with cross-functional teams to gather data requirements Build solutions that help the organization make informed decisions Location This role is based in Boston, MA, United States.