Lead Data Analytics Engineer Jobs

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New York Times is looking for a Senior Analyst to join the Data and Insights Group (DIG). As part of the Data and Insights Group (DIG), you will join a large community of experienced analysts. You will partner with Product, Newsroom, Engineering, Design, Marketing, Strategy, Finance and PMO teams across the business. We are looking for a curious and a collaborative team player- someone who understands the value of contribution to a greater whole and the importance of analytic delivery. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 3 days/week. Responsibilities: Create data-driven insights, promote them and lead them into action Develop centralized reporting dashboards and automated reports to expand access to data and analytics Write SQL to build pipelines and analyze large datasets Run A/B tests, deliver test insights and advise on future tests and next steps Advise partners on areas of opportunity Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world. You will report to the Senior Manager, Data and Insights Basic Qualifications: 2+ years of experience working with data analytics or data science teams to deliver analysis 1+ years of experience applying statistical methods to analytical problems Proficiency in SQL a

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role New York Times Wirecutter team is looking for a Senior Manager, Audience & Product Analytics to power our growth strategy. Your core mandate will be to build an understanding of our audience— who they are, how they engage with content and product features, and what brings them back. You will lead a team of analysts responsible for understanding audience trends, driving product improvement, and optimizing user engagement. You will provide leadership and data-driven insights, working with audience, product, and engineering leads to establish goals, design experiments, and uncover new opportunities. You will report to the Executive Director of Data Analytics and Insights, Wirecutter. This opportunity is flexible to in office or remote work. Responsibilities You will manage a team of three direct reports—promoting a culture of curiosity and excellence while setting clear deliverables, supporting career growth, and ensuring high-quality analytics output You will analyze audience growth, traffic drivers, customer journey touch points, and user engagement trends to inform strategic decision-making. You will partner with functional leads (Product, Design, Engineering, Editorial) to set strategy, define goals, and build the audience and product analytics roadmap. You will lead the design, execution, and post-analysis of product experiments (A/B testing). Provide expertise on primary metrics, trade-offs between competing goals, and

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Optimization Data Analyst We are looking for a Senior Optimization Data Analyst to take a defining role in how Adyen drives payment performance for its most complex merchants. As a senior member of the Performance Optimization team, you will bring the full breadth of payment optimization expertise expected at this level, across authentication, authorization, and cost, while going deeper in risk, fraud, and ML-driven decisioning than any other role on the team. You will combine hands-on technical capability with recognized domain expertise in risk to lead the team's most complex merchant engagements, shape PO's analytical methodology, and accelerate the adoption of Adyen's optimization capabilities across the merchant portfolio. This role sits at the intersection of technical depth and commercial impact. You will work directly with large-scale transactional data, including ML output and labeled risk data, to generate comprehensive insights that connect to merchant strategy. You will do this in close collaboration with Adyen's product teams, through insights and feedback that drive product improvements, and an analytical layer that makes risk model behavior more interpretable and actionable for merchants and internal teams alike. You will build the frameworks, tools, and knowledge that allow the broader PO team and commercial s

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Times is seeking an innovative analytics director who is passionate about data and eager for the opportunity to support the Times journalistic mission. As part of the Data and Insights Group (DIG), you will join a large community of talented data leaders who partner with Product, Engineering, Design, and PMO teams across the business. In this role, you’ll be responsible for bringing insight and visibility to the performance of our subscription funnel. You will lead the roadmap and strategic direction for Growth Conversion analytics. You will provide leadership and guidance to teams, establish key performance indicators, and leverage data-driven insights to drive results and uncover opportunity. This is a people leader role requiring a player-coach mentality. You will report to the VP, Growth Analytics. Responsibilities: You will define your team’s data strategy and own the creation and execution of solutions across the team You will manage multiple, and at times simultaneous, projects from start to finish, balancing impact, scope and speed, to get the data and insight in a timely manner. You will create novel insights, advocate for them, and lead them into action You will oversee team deliverables and represent the team’s work and impact at the executive level You will democratize data and insights through skillful data structuring and use of visualization tools You will navigate through ambiguity and organizational str

Company: tastytrade Role: Analytics and Business Intelligenc e Manager Location: Chicago, IL – Hybrid (3 days/week in office) Salary : $130,000 - $165,000 IG North America (tastytrade, tastyfx, tastylive) is seeking a Analytics and Business Intelligence Manager to join our Data team in Chicago, IL. In this role, you will lead a team of analysts while remaining hands-on in delivering insights that drive strategic business decisions across the organization. You will own the Tableau environment end-to-end and serve as the primary analytics partner to Marketing, Product, Operations, and Finance, with direct ownership of the marketing analytics relationship. Key Responsibilities: Manage and develop a team of 3-4 data analysts through mentorship, performance management, and career development Execute critical analytics projects while overseeing team deliverables across the organization Partner in developing and managing the analytics roadmap, aligned with business priorities and team capacity Build and maintain dashboards, reports, and KPI frameworks in Tableau, holding the team to a consistent standard of design and data quality Own the Tableau environment: published data model governance, license and license-tier management, permissioning, and the roadmap for platform capabilities such as Tableau Pulse Serve as primary analytics partner to Marketing, Product, Operations, and Finance, with direct ownership of the marketing analytics relationship (attribution, campaign performance, marketing measurement) Translate complex data into clear, actionable recommendations that stakeholders can implement immediately Partner with Data Engineering to ensure data availability and quality for analytics use cases Grow stakeholder adoption of analytics products and influence alignment across teams without direct authority Qualifications: 8+ years of experience in data analytics or business intelligence 2+ years of people management experience, or demonstrated readin

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation and causal inference. We’re hiring multiple Data Science Managers across different areas of the business. All of these roles are at the same level. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope and team at the end of the process, based on your background, interview performance, preferences and current business needs. We’re also advertising some opportunities separately where particular domain experience is especially relevant. You only need to submit one application, as we’ll consider your profile across all suitable Data Science Manager vacancies. Before an offer is made, you’ll have the opportunity to meet the proposed team, either virtually or at our London headquarters, and learn more about the role’s scope and priorities. What You’ll Be Doing You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers. Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement. Across all roles, you’ll lead and develop your team,

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products. What You'll Do Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development Conduct deep-dive analyses t

Req ID - FEQ327R499 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: 3+ years of experience building and leading technica

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Test Process Engineering Manager Location: Sanand, Gujarat, India Department: Component Test Engineering Job Type: Full-Time Our Vision At Micron, we are transforming how the world uses information to enrich life for all. Micron is a global leader in innovative memory and storage solutions that accelerate the transformation of information into intelligence. Every day, our innovations help create breakthroughs in artificial intelligence, data centers, networking, automotive, mobile devices, and consumer applications. We are seeking a highly motivated and experienced Test Process Engineering Manager to lead a team responsible for developing, optimizing, and sustaining semiconductor test manufacturing processes within our Component Test organization. Position Summary The Test Process Engineering Manager is responsible for leading engineering activities that enable world-class performance in semiconductor test manufacturing. This role drives process capability, yield improvement, product quality, manufacturing readiness, operational efficiency, and continuous improvement initiatives across Component Test operations. The successful candidate will lead a team of engineers focused on process qualification, process control, defect reduction, equipment-process interactions, manufacturing validation, data analytics, and technology deployment. This role collaborates extensively with Product Engineering, Quality Engineering, Manufacturing Ope

REQ ID - FEQ227R90 Location: Toronto, ON The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward. Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. The impact you will have: You will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets and ensure customer success Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technology stack. You will make sure that your team is continuously learnin

REQ ID - FEQ327R483 Location(s): Central US (Texas, Illinois, St. Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced kno

About the Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering. What You'll Do Full-Funnel Analytics Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention. Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations. Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders. Targeting, Segmentation & Propensity Modeling Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers. Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking. Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels. Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth. Campaign Analytics & Measurement Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy. Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership. Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews. Forecasting & Planning Build high-fidelity revenue and advertiser growth models to project perfor

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: The Lead Cloud Economics Specialist will own analytics, automation, and operating processes for cloud cost management, cost attribution, optimization tracking, strategic vendor economics, and product-margin support. The role will partner with Finance, Product & Engineering, IT, Procurement, Legal/Trust, and Data teams to turn complex usage and cost data into clear financial insights, scalable reporting, and executive-ready recommendations. This is a senior, hands-on finance business partnering role at the intersection of Finance, cloud economics, data automation, vendor economics, and Product & Engineering decision support. You will work with complex usage and cost data, build scalable reporting and automation, and translate technical cost drivers into clear financial insights and recommendations. You will lead through ownership and influence rather than direct management, and you'll have room to define structure where mature processes don't yet exist. The work you’ll do: Cloud cost visibility and attribution Build and maintain reporting across AWS, Azure, GCP, and related hosting environments. Improve attribution of cloud and infrastructure costs to services, teams, products, customers, projects, and cost centers.

itD is seeking an Engineering Program Manager, Data & Analytics to lead strategy and execution for large-scale analytics and data engineering initiatives supporting data-informed decision-making. The ideal candidate will bring deep experience in technical program management, data engineering and analytics lifecycles, and cross-functional delivery, with a track record of driving complex programs from strategy through execution. Location: Onsite — Bay Area, CA preferred. Pay rate: $36.36/hr We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Lead cross-functional technical programs spanning data engineering, data science, analytics, and customer-facing systems. Drive strategy, roadmap development, execution, and delivery for complex, large-scale data and analytics initiatives. Coordinate engineering, data science, product, and business stakeholders to establish priorities, dependencies, milestones, and deliverables. Analyze data definitions, transformations, modeling, and downstream analytics impacts to ensure data remains accurate, meaningful, and fit for purpose. Manage program status reporting, roadmap reviews, engineering reviews, and stakeholder communications. Navigate fast-paced and ambiguously defined initiatives involving multiple customers, partners, and technical teams. Identify program risks, dependencies, and execution challenges while driving timely resolution and alignment. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportuniti

(GAQ327R301) Databricks is shaping the future of data and AI, and building world-class engineering teams requires world-class talent strategy. This role serves as the central driver for compensation intelligence and analytics, empowering faster, highly informed, and consistent organizational decision-making through data-driven insights. Reporting directly to the VP of Total Rewards, this is a strategic builder’s role tailored for an expert operating at the intersection of compensation, advanced analytics, data engineering, and business strategy. Scope of the Role AI & Data Strategy Lead (60%) — Serve as the lead subject matter expert on AI and data strategy within the Compensation function. Collaborate closely with People Intelligence and IT teams to design, architect, test, and deploy automated workflows and AI-driven solutions across core compensation processes. Enterprise Program Analytics (30%) — Lead company-wide compensation analytics, overseeing total compensation budget forecasting and providing the analytical framework supporting major executive program decisions. Market Intelligence & Executive Reporting (10%) — Monitor, evaluate, and report on market dynamics across cash, equity, and total rewards programs through Quarterly Business Reviews (QBRs) and executive summaries. What You'll Bring Analytics Data Fluency & System Architecture — Core competency in transforming complex, unstructured datasets into actionable business insights, predictive tooling, and strategic recommendations. Capability to synthesize numbers into cohesive narratives and build scalable systems designed to anticipate future business needs. Technical & Platform Expertise — Advanced proficiency in Google Sheets and Excel. Strong working knowledge of SQL and hands-on experience with business intelligence platforms (e.g., Databricks) is highly preferred. Proficiency in Python and practical application of AI in compensation analytics are significant advantages. AI Leadershi