Customer Analytics Manager - AdTech

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 vib…

Join Calm as an Analytics Engineer and become an integral part of our mission to make the world a healthier and happier place. You will leverage your analytical skills to derive insights that guide our data-driven decisions and enhance our users' experiences. Your role will involve collaborating with cross-functional teams to optimize data flow and ensure data integrity while developing scalable data models.

At PermitFlow, we are revolutionizing the construction industry in America through the power of applied AI. Our innovative solutions address one of the largest challenges in the economy: deciphering what can be built, where, and how. Our AI-driven workforce empowers leading construction firms by streamlining processes from permitting and licensing to inspections and project completions, thereby accelerating progress in housing, clean energy, and infrastructure development nationwide.Despite being a robust $1.6 trillion industry, construction faces significant hurdles such as delays, capital wastage, and missed opportunities. PermitFlow has transformed over $20 billion in projects, delivering unmatched speed, accuracy, and visibility, which enables contractors to minimize compliance time, mitigate risks, and scale confidently.As America embarks on a CAPEX super-cycle, encompassing everything from data centers to renewable energy, joining PermitFlow means being at the forefront of AI technology that drives the next wave of industrial growth.With over $90 million raised, including our recent Series B funding from prestigious investors like Accel, Kleiner Perkins, Initialized, and Y Combinator, we have the backing of industry leaders from OpenAI, Google, Procore, and more.Our headquarters are located in New York City, and we offer a hybrid working model (3 in-office days per week). We encourage applications from NYC-based candidates or those willing to relocate.Role OverviewWe are seeking a driven and skilled Analytics Engineer to join our dynamic team. In this pivotal role, you will design, construct, and maintain robust data infrastructures that facilitate scalable and actionable business intelligence. Collaborating closely with engineering, product teams, and stakeholders, you will ensure data integrity, enhance analytics processes, and support informed decision-making across the organization.What You'll DoDevelop and implement scalable data models tailored for analytics and comprehensive company reporting, continuously evolving them to align with changing business requirements.Create and manage efficient data pipelines to transform datasets for analytics purposes.Work collaboratively with product and engineering teams to integrate data from diverse sources, including PermitFlow’s CRM, third-party vendors, and internal systems, while optimizing for performance and reliability.

Veeva Systems is a mission-driven leader in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we achieved over $2B in revenue last fiscal year, with significant growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—define our culture. In 2021, we made history by becoming a public benefit corporation, committed to balancing the interests of our customers, employees, society, and investors.Join us in transforming the life sciences industry and positively impacting the lives of our customers and communities.The Role As a Manager at Crossix Analytics, you will play a pivotal role in enhancing healthcare marketing through advanced analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the intersection of big data and multichannel media, Veeva Crossix empowers life sciences companies with actionable insights for strategic decision-making, ultimately improving patient outcomes. In this role, you will leverage your expertise to deliver analytics and insights using Crossix Analytics Products and Services. You will share best practices, cultivate ongoing client relationships, and collaborate with a dedicated team to execute analytics strategies. Ideal candidates will demonstrate strong analytical capabilities, exceptional communication skills, and proficiency in building client relationships within the life sciences marketing domain.

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.

About DualEntryEstablished in 2024, DualEntry is rapidly emerging as one of the leading AI startups globally.At DualEntry, we are revolutionizing the finance sector today. The Enterprise Resource Planning (ERP) market stands as one of the largest in the fintech arena, valued at over $220 billion. Despite this, countless companies still rely on outdated on-premise systems, with no new competitors entering the space for over three decades.Our AI-powered ERP enables accounting teams to achieve unprecedented efficiency. Businesses ranging from $5 million in Annual Recurring Revenue (ARR) to those listed on the NYSE trust DualEntry to eliminate tedious manual data entry through our AI capabilities. We are making the vision of a one-person finance team a reality, leaving behind the struggles of legacy ERPs from the 1990s.We operate with a sense of urgency and ownership, moving swiftly to achieve our goals.Why This Role is Crucial Right NowIn just 18 months, we have successfully raised over $100 million from prestigious investors including Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures, and Google Ventures, alongside more than 20 angel investors who have built, scaled, and exited some of the most influential companies of the last decade.We attribute our success to our fast-paced environment and a dedicated team comprised of talented individuals from leading tech and accounting firms such as Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero, and Intuit. Many of our team members may not have prestigious logos on their resumes, but they are motivated to prove their capabilities.As a small but rapidly expanding team, we invite you to join us early in our journey.As the Lead Analytics & Data Engineer, you will be responsible for establishing data infrastructure and generating data insights across product, engineering, go-to-market, and marketing teams from the ground up. This is a hands-on, intensive role where you will have complete ownership across all teams at DualEntry. We expect you to strive for excellence and elevate standards.Where You Will Make an ImpactYour primary focus will be building a robust Data & Analytics function from scratch. You will collaborate with various leaders to develop key performance indicators (KPIs) and actionable insights throughout the organization.Engage in full-stack analytics engineering development, creating models to ingest, transform, and disseminate data both internally and externally.Work closely with diverse teams to capture, transfer, store, and analyze raw data, turning it into actionable insights.Collaborate with product, engineering, data, and design teams to create prioritized product roadmaps and assess success metrics.Ensure that insights are effectively translated into actionable strategies.Establish data processes, tools, and systems that will enhance decision-making capabilities.

Location: New York, NY (Hybrid) | Pay Range: $106,605 – $284,280Position OverviewJoin a leading Fortune 500 healthcare organization as a Senior Product Manager within our Analytics & Behavior Change (A&BC) division. In this pivotal role, you will spearhead the design, development, and rollout of analytics-driven applications specifically crafted for pharmaceutical and life science clients. This position demands robust product management skills, a thorough understanding of data analytics and healthcare data, and the capacity to connect technical and business domains. You will work closely with business units, data engineering, data science, and design teams to deliver cutting-edge analytics products while also mentoring junior Product Managers throughout the process.Key Responsibilities• Gather comprehensive requirements from business and clinical teams to guide product development.• Create user stories, acceptance criteria, and detailed specifications for data science and engineering teams.• Collaborate with data engineering, data science, and design teams to turn requirements into actionable strategies and solutions.• Lead the design and development of backend data and analytics architecture ensuring scalability, reliability, and performance.• Navigate trade-off discussions among stakeholders, balancing speed, scalability, and quality.• Conduct user research and usability testing to inform product decisions and validate hypotheses.• Oversee technical documentation, including data flow diagrams and architecture specifications.• Communicate product updates and solicit feedback from business stakeholders.• Advocate for Agile methodologies and best practices.• Mentor and guide junior product managers.• Contribute to the overall product strategy and roadmap aligned with organizational objectives.

Join Our Team!We are excited to announce an opening for an Analytics Manager within our dynamic Security, Risk, and Compliance Analytics team.In this pivotal role, you will lead a team of analysts focusing on Fraud and Payments, while also collaborating across vital areas such as responsible gaming, compliance, and regulation. Your insights and data-driven solutions will play a crucial role in enhancing business performance and mitigating risks. This is a hybrid position based in the vibrant New York City.As part of your responsibilities, you may also take on additional tasks as assigned by the Company, ensuring operational flexibility as we adapt to changing business needs.

Location: New York City, NY (Hybrid schedule: 2 days onsite per week) Role Overview The Senior Manager, Analytics and Insight at Weedmaps leads a team focused on transforming data into clear, actionable recommendations for departments across the company. Reporting to the VP of Data, this position bridges technical data systems and business strategy. The team’s work moves beyond basic reporting, aiming to deliver proactive insights that guide decisions. This role is responsible for fostering a high-autonomy environment, maintaining accurate metrics, enabling self-service analytics at scale, and serving as trusted advisors to business leaders. What You Will Do Shape and drive the analytics strategy for business intelligence, analytics, and data science, ensuring alignment with company OKRs and CTO-level priorities. Oversee the organization’s metrics framework, maintaining consistency, accuracy, and reliability of KPIs across all business areas. Lead the rollout of self-service analytics, including dashboard infrastructure, semantic layers, and AI-powered tools. Deliver strategic insights that improve decision quality throughout the organization. Work closely with Engineering, Product, Finance, and Marketing to prioritize data projects and turn business questions into scalable analytics solutions. Drive improvements in team efficiency through better tooling, AI integration, and cross-functional process updates. Oversee analytics support for major business initiatives, such as ERP migrations and compliance projects. Communicate key findings and metrics insights to executive leadership and the CTO. Design and manage A/B tests and other experiments to validate product ideas. Keep current with industry trends and analytics best practices. What We’re Looking For Track record of leading and developing analytics, business intelligence, or data science teams of 6 or more. Experience with hiring, onboarding (including structured 30/60/90 day plans), performance management, and career growth for team members. Ability to build a culture of accountability, intellectual rigor, and ongoing improvement, with processes in place to support team performance.

About Saaf AIAt Saaf AI, we are revolutionizing the mortgage lending landscape by harnessing the power of advanced artificial intelligence coupled with established lending practices. As a fintech startup integrated into American Heritage Lending—one of the nation's top ten private lenders, managing billions in loan volume across various programs—we are supported by some of the largest asset management firms and investment funds.Our team is fundamentally AI-driven. Every engineer, product decision, and operational workflow is meticulously crafted to answer the question: “How can AI enhance efficiency, intelligence, and reliability?” If you are eager to expand the horizons of your expertise by utilizing the most advanced AI tools and methodologies daily, this role places you at the forefront of data architecture and analytics engineering as we move into 2026 and beyond.The RoleWe are seeking a Senior Data Architect & Analytics Engineer to lead the development and enhancement of our analytics data platform. As our first dedicated data hire, you will be a hands-on architect responsible for shaping how data drives decisions across underwriting, sales, and operations.While the foundational work has been laid, the most thrilling and impactful challenges are still ahead. You will take charge of a platform ripe for growth: developing entity resolution across disparate real estate data, designing enrichment pipelines that convert raw data into actionable insights, constructing the semantic layer essential for AI-driven analytics, and refining the architecture as we expand into new loan programs and data sources.This role is ideal for you if:You have built and managed a comprehensive modern analytics stack from start to finish, rather than simply contributing to one.Data integrity is your top priority from the outset—not an afterthought.You thrive on enhancing a robust foundation and are driven to achieve ambitious goals.You aspire to be the key data figure in a rapidly growing company—enjoying high ownership, significant impact, and a clear trajectory to team leadership.What You’ll OwnAnalytics Platform — Build It, Run It, Evolve ItTake complete ownership of the production data pipeline—from ingesting external real estate and borrower data to transforming it through a multi-layered model (staging → enrichment → business-ready marts) while ensuring its reliability.Create and maintain the semantic layer—comprising model descriptions, metric definitions, and metadata that fuel BI dashboards, AI assistants, and self-service analytics.

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.

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.

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

As the premier manufacturer of window coverings and a significant player in architectural products, Hunter Douglas has established itself as a trusted name for over a century. Our innovative products redefine style and functionality, adorning millions of residential and commercial spaces worldwide.We are on the lookout for dynamic, intelligent, and creative individuals who share our entrepreneurial spirit. At Hunter Douglas, you will find challenging opportunities for growth and a community driven by a shared ambition for success. We are dedicated to offering competitive compensation and benefits packages, ensuring you feel valued as part of our team. Join us in our dream to be the fastest-growing and most beloved window covering company in the world. What’s your dream?Position OverviewWe are in search of a strategic and results-oriented Manager of Business Intelligence & Analytics to lead our business intelligence and advanced analytics initiatives within the Sales department. This role is pivotal in managing a high-impact analytics function that transforms complex data sets into actionable insights to inform key business decisions.The ideal candidate will be proficient in Power BI/Tableau, possess hands-on experience with forecasting techniques, and adeptly apply data science methodologies to solve business challenges. They should be intellectually curious, data-savvy, and passionate about leveraging evidence-based insights for impactful decision-making.

The City of New York is seeking a passionate and detail-oriented Process Improvement and Analytics Manager to join our dynamic team. In this role, you will lead initiatives to enhance operational efficiency and leverage data-driven insights to drive improvements across city departments.Your expertise in process analysis and optimization will be critical in identifying opportunities for improvement, streamlining workflows, and implementing best practices. You will collaborate closely with various stakeholders, utilizing analytics tools to inform decision-making and promote a culture of continuous improvement.

January Digital is a marketing agency based in New York City that specializes in data-driven media, strategic insights, and actionable analytics. The company manages end-to-end media planning and execution, and its consulting division guides marketing organizations with a focus on growth and measurable results. Every client engagement relies on data and insights to help organizations achieve their goals. January Digital emphasizes improving the lives of its clients, employees, and the broader community. Initiatives like WORKS and Good Works provide community support through donations and volunteer work. Employee well-being is prioritized through programs such as Well Works, which includes required minimum PTO, an annual wellness stipend, comprehensive health care, fully funded counseling, and extended parental leave. The agency has earned more than 125 awards, including multiple Best Place to Work honors from INC, Dallas Business Journal, and Ad Age. January Digital is recognized as a 2024 NRF Partner of the Year and has been listed on the INC 5000 seven times. The agency’s work with brands like Carhartt and Steve Madden has also received industry recognition. AI-Enabled Approach The team blends expertise, creativity, and AI to drive results for clients. Ongoing training ensures both staff and clients stay up to date. Candidates with experience developing and refining AI inputs, working with key AI tools, and applying AI to business challenges are valued. Strong critical thinking and a responsible approach to AI are important qualities for team members. Role overview The Director of Analytics is a senior, client-facing leader focused on analytics for media. This position requires a strong background in media measurement and the ability to translate complex analyses into clear, actionable business insights. The role is ideal for someone with recent hands-on media analytics experience who has progressed into leading teams and shaping client strategy. While not handling daily execution, the Director of Analytics supports the analytics team, reviews outputs, and ensures the delivery of high-quality work. The role calls for a balance of strategic leadership and a willingness to step in and assist when needed.

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.

Weedmaps is hiring a Senior Manager, Analytics and Insights to lead a remote team in New York City, NY. This position reports to the VP of Data and plays a key role in connecting technical data infrastructure with business strategy. The team’s focus is shifting from reactive reporting to generating proactive insights that directly support company objectives. Key Responsibilities Develop and implement an analytics strategy that aligns with company OKRs and CTO priorities across business intelligence, analytics, and data science. Maintain a consistent and reliable metrics framework, ensuring accurate KPIs across all departments. Advance self-service analytics by building dashboard infrastructure, semantic layers, and integrating AI-driven tools. Deliver strategic, forward-looking insights to guide company decision-making. Collaborate with Engineering, Product, Finance, and Marketing to prioritize data initiatives and solve business challenges with scalable analytical solutions. Drive improvements in team efficiency through new tools, AI integration, and process optimization. Direct analytics support for major projects, including ERP transitions, compliance efforts, and platform migrations. Communicate strategic findings and team roadmaps to executive leadership and the CTO. Design and oversee A/B tests and experiments to validate product hypotheses. Stay current with industry trends and best practices in analytics.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.