Analytics Engineer

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 Despite this, countless companies still rely on outdated on-premise systems, with no new competitors entering the space for over three decades.Our AI-powered ERP enables accounting teams to achieve unprecedented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.

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.

Location: New York, NY (On-site) | Pay Range: $142,140 – $284,280Position OverviewWe are seeking an exceptional Analytics Solutions Lead to join our client's esteemed Analytics & Behavior Change (A&BC) team within a Fortune 500 healthcare organization. The A&BC team is dedicated to addressing complex challenges at the convergence of technology and healthcare, utilizing cutting-edge analytics, machine learning, and hypothesis-driven methodologies to convert data into meaningful insights that enhance growth and health outcomes for over 100 million customers.In this pivotal role, you will act as a strategic liaison for both internal and external stakeholders, effectively translating business objectives into actionable data science tasks and delivering impactful analytical solutions. Your leadership will guide consulting initiatives, manage data science teams, and create compelling analytical narratives that inform executive decision-making.Key Responsibilities• Convert business requirements into precise, actionable data science directives.• Oversee data science teams to develop analytical models customized for pharmaceutical client needs (including predictive modeling and machine learning).• Utilize advanced analytical skills in Excel and BI tools (Power BI, Tableau) to transform model outputs into polished deliverables.• Facilitate cross-functional program delivery to integrate current capabilities into innovative customer-facing analytics solutions.• Craft, refine, and present analytical narratives to both internal and external executive audiences.• Collaborate with Product Management to communicate customer insights and influence the prioritization of the product roadmap.• Define project scopes, develop delivery schedules, and allocate resources for analytical consulting tasks.• Identify and articulate project opportunities from data and analytics insights to business partners.• Work collaboratively with product teams to standardize and expedite analytics reporting outcomes.Required Qualifications• 5+ years of experience in Consulting, Program Management, Business Operations, or Strategy.• 3+ years in analytics or management consulting, delivering high-level presentations and strategic guidance.• 3+ years of expertise in data visualization and manipulation using Excel; familiarity with Tableau and Power BI.• 2+ years collaborating with Data Science or Data Engineering teams, bridging communication between technical and business stakeholders in healthcare analytics.• 2+ years of program management experience for intricate, multi-stakeholder projects.• 2+ years of experience creating executive-level PowerPoint presentations.• 1+ year in the healthcare sector, preferably within pharmaceuticals or life sciences (commercial, clinical, or market access analytics).Preferred Qualifications• Knowledge of medical and pharmaceutical industry standards...

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 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...

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.

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.

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.

About FaireFaire is an innovative online wholesale marketplace dedicated to empowering local economies. We believe in the strength of independent retailers, who collectively generate more revenue than industry giants like Walmart and Amazon. By harnessing the power of technology, data, and machine learning, we connect a vibrant community of entrepreneurs and help them discover the finest products from around the globe for their stores. Our mission is to level the playing field for small businesses, enabling them to compete successfully against large corporations.By supporting the growth of independent businesses, Faire positively impacts local communities worldwide. We seek intelligent, resourceful, and passionate individuals to join our team as we advocate for the shop local movement. If you share our commitment to community, we invite you to be part of ours.About this RoleWe are actively seeking a Senior Lead in Strategy & Analytics to expedite informed product decisions. This role necessitates a blend of analytical prowess, strategic foresight, and executional capability to foster business growth. As a Senior Lead at Faire, you'll oversee essential projects from inception to completion, collaborating with Product, Sales, Operations, Marketing, and Finance teams to guide our strategic roadmap by generating actionable insights.This position is perfect for a high-impact individual contributor who thrives in a dynamic, collaborative, and data-centric environment while gaining exposure across various functions.Key ResponsibilitiesDeconstruct complex strategic challenges to derive actionable insightsLead comprehensive cross-functional strategic initiatives that elevate company metrics in partnership with Product, Sales, Finance, Operations, and Marketing.Identify strategic opportunities, formulate hypotheses, conduct thorough analyses, and present recommendations to Faire’s leadership based on your insightsOwn critical business metrics by understanding trends deeply and surfacing key strategic insights to influence themProvide strategic thought partnership to cross-functional teams to ensure alignment and effective execution of initiatives

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

Legora seeks a Director of Data Analytics and Business Systems to lead its analytics team in New York City. This position plays a central role in shaping analytics strategies that advance company objectives. The Director will use advanced analytical techniques to improve operations and streamline business processes. Role overview This leader will set the direction for the analytics team, guiding priorities and mentoring team members. The role involves developing and executing analytics strategies that align with Legora’s business goals. Close collaboration with teams across the organization is essential to deliver insights that inform strategic decisions. Oversight of business systems management ensures effective data flow and accurate reporting. Promoting a data-driven culture is a key focus. Key responsibilities Lead and mentor the analytics team, setting direction and priorities Develop and implement analytics strategies in line with business objectives Collaborate with teams across Legora to deliver actionable insights Oversee business systems management for effective data flow and reporting Encourage data-driven decision-making throughout the company Requirements Experience in data analytics, business intelligence, and systems management Strong leadership and team management skills Ability to work with multiple departments and communicate complex findings clearly

Mark43 is authorized to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.At Mark43, our mission is to empower communities and their governments with innovative technologies that enhance safety and quality of life for all. We create robust, scalable, and elegant software that sets a new benchmark for the tools relied upon by first responders. Our user base is diverse, and we are committed to fostering diversity of thought and experience within our team.We are seeking a Lead Data Engineer to become part of our dynamic team. This pivotal role requires a blend of technical leadership and hands-on execution. You will significantly influence the evolution of our data infrastructure while mentoring team members and collaborating cross-functionally to drive analytical innovation across the organization.

About Us:At DailyPay, we are revolutionizing the payment landscape. As a leading worktech company and the foremost solution for on-demand pay, we leverage our award-winning technology platform to empower top employers across America in fostering stronger relationships with their employees. Our innovative voluntary employee benefit enhances workforce motivation, encouraging employees to perform better and remain committed while supporting their financial health outside of work.With our headquarters in New York City and operations extending throughout the United States and Belfast, we invite you to explore more at DailyPay's Press Center.The Role:We are seeking a Senior Data Analyst to join our dynamic Data Team! In this pivotal role, you will harness diverse data sources to extract actionable insights and formulate strategic recommendations that drive business value. Collaborating closely with internal teams such as Sales, Marketing, Product, and Customer Success, you will also play a crucial part in enhancing client success by contributing to the development of customer-facing data products and analytics.The mission of the Data Team is vital to the ongoing evolution and success of our product, addressing the needs of our customers and partners while ensuring DailyPay's leadership in the early wage access industry. As a Senior Data Analyst, you will be instrumental in realizing this vision.If you're passionate about data and its impact, we encourage you to apply even if you feel you don't meet every single qualification.Your Impact:Lead Advanced Analytics Initiatives: Take charge of complex analytics projects, proactively identifying opportunities to deliver actionable insights that influence strategic business outcomes.Translate Data into Strategic Recommendations: Move beyond mere reporting by providing comprehensive analyses and clear, data-driven recommendations that shape critical business decisions.Cross-Functional Collaboration: Work alongside stakeholders across various departments to understand their needs, define requirements, and deliver impactful analytics solutions.Mentoring and Leadership: Foster the development and training of the analytics team in strategic problem-solving skills.What You Bring:Proven Experience: Demonstrated expertise in data analytics with a strong ability to interpret and analyze complex data sets.Technical Proficiency: Familiarity with analytics tools and software, as well as programming languages such as SQL or Python.Strong Communication Skills: Ability to convey complex ideas clearly to stakeholders at all levels.

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.

Join Alloy and Make a Difference! At Alloy, we tackle the identity risk challenges faced by companies offering financial products. We empower over 800 of the world's leading financial institutions and fintechs to combat fraud, manage credit, and ensure compliance risk, all while enhancing their understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—foster a nurturing work environment where you can excel and feel a true sense of belonging. Year after year, we have been acknowledged as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and recognized as a Best Fintech to Work for by American Banker. To learn more about our mission and values, visit us here.

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 SafeLeaseAt SafeLease, we are transforming the landscape of property and casualty insurance amidst rapid technological advancements. We recognize that the most significant inefficiencies in the industry are not rooted in technology but in structural aspects. Our mission is to assemble a dynamic team to address these challenges head-on.As a profitable insurance provider, SafeLease specializes in designing, underwriting, and distributing tailored coverage solutions for commercial property owners and their tenants. Unlike typical insurance firms that either distribute products or assume risks, we do both. We underwrite our policies using our own capital, granting us control over every aspect—from product design to technology, and the pace of our operations. This comprehensive control allows us to provide our clients with genuine flexibility, resulting in time and cost savings for over 4,000 properties insured nationwide, valued in the billions.With a robust team of 70 professionals and an impressive annual growth rate exceeding 100%, we prioritize maintaining profitability and a positive workplace culture. Here, you will enjoy significant autonomy while tackling a diverse array of challenges. We adopt the latest technologies, act swiftly in our decision-making, and foster a company atmosphere akin to a startup where every team member’s contributions are recognized. If you seek an environment that allows you to hone your skills alongside dedicated professionals, you will find your place with us.Location: New York City or Austin, TX - (Hybrid)Department: Data & AnalyticsReports To: CEOWe are in a phase of rapid expansion and need a visionary leader to develop and guide the data and analytics team, propelling our next growth stage. This is a pivotal position with direct involvement in leadership discussions.Position OverviewWe are in search of an exceptionally strategic and hands-on Senior Vice President of Data & Analytics to spearhead our analytics initiatives across the organization. This executive will oversee the comprehensive analytics function—including data management, collection, insights, reporting, and advanced strategic planning—encompassing both our real estate investment portfolio and insurance operations.The ideal candidate will be proactive, capable of working independently, and able to deliver impactful results without extensive support or existing infrastructure. They will establish the vision for our analytics strategy, ensuring that the company utilizes data effectively to facilitate informed, high-velocity decision-making.

Role overview The Director of Data Operations and Program Analytics leads the City of New York’s efforts to strengthen data-driven decision-making. This position manages daily data operations, focuses on raising data quality, and uses analytics to support a range of city programs and initiatives. What you will do Supervise data operations across multiple city departments Work to enhance the quality and reliability of data used in city programs Apply analytics to inform and assess the impact of city services Partner with stakeholders to implement data-driven strategies Impact This position plays a key role in helping the City improve services for all New Yorkers by ensuring decisions are based on accurate data and thoughtful analysis.

The City of New York is hiring a Deputy Director of Data Analytics and Research based in New York City. This leadership role centers on guiding data analytics and research efforts to support informed decision-making across city agencies. Role overview The Deputy Director will manage the design and rollout of analytics solutions aimed at strengthening operational efficiency and service delivery. This position involves close collaboration with teams throughout city departments to ensure that data insights translate into real improvements for residents and staff. Key responsibilities Oversee the development and execution of analytics projects for city agencies Lead teams in using data to inform and improve city operations Promote data-driven practices that support better service delivery What this role focuses on This position is designed for those who bring both strategic vision and hands-on experience in analytics. The Deputy Director will play a key part in shaping how the City of New York uses data to serve its communities more effectively.