Senior Analyst in Growth Strategy & Analytics

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.

The City of New York is hiring a Senior Data Analyst to join the Division of Strategic Operations & Analytics. This role centers on using data to improve how city services operate and to inform important policy decisions. Key responsibilities Collaborate with teams across multiple departments to identify and analyze relevant data sources Extract actionable insights from complex datasets to support strategic planning efforts Build data models designed to measure and enhance operational efficiency Communicate findings and recommendations to stakeholders at different levels of the organization Location This position is based in New York City.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

Join Upside:At Upside, we’re on a mission to revolutionize brick-and-mortar commerce. By harnessing the power of online retail strategies—such as profit measurement, attribution, and incrementality—we deliver exceptional value to our users on their everyday purchases while helping brick-and-mortar businesses attract new, profitable customers. Our innovative platform has empowered millions to earn 2 to 3 times more cashback than competitors, while also enabling hundreds of thousands of businesses to achieve measurable profit. With billions of dollars flowing through our platform annually, we ensure that value returns to our retailer partners, their customers, and supports vital sustainability efforts.Your Impact:We are seeking a Senior Analyst, Marketing Analytics to take charge of comprehensive performance insights for Upside’s consumer marketing strategy—covering the entire funnel from acquisition to engagement, retention, and lifetime value.In this pivotal role, you will become a key strategic partner to our Consumer Marketing team, diving deep into data to uncover the underlying reasons behind performance across various channels, creatives, audiences, promotions, and on-site/app interactions. You will craft data-driven narratives and actionable recommendations that inform our marketing investments, enhance conversion rates, and foster long-term user engagement.You will bring a robust B2C marketing analytics skill set, a penchant for experimentation, and an agile mindset suitable for a startup environment—comfortable transitioning from raw data to actionable dashboards and perspectives for senior stakeholders.

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

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 Chalkboard:At Chalkboard, we are revolutionizing the landscape of sports gaming. Our ambition is to seamlessly merge the act of watching with playing, transforming real-money sports gaming into a captivating, social experience designed for fans eager to win. We are redefining how sports enthusiasts connect with their favorite games.Our team consists of passionate individuals who are dedicated to innovation, transparency, and the excitement of empowering fans to transform their insights into actionable strategies.The Role:We are seeking a Senior Product Analyst to join our team and help establish a premier product analytics framework that facilitates informed decision-making, robust experimentation, and quantifiable product outcomes.In this pivotal role, you will collaborate closely with cross-functional teams—Product, Engineering, Design, and Data—to enhance how fans interact with Chalkboard in real time. If you are passionate about building from the ground up, excel in dynamic environments, and prioritize teamwork over individual accolades, this position is tailored for you.Your Game Plan:You will play a crucial role in shaping our approach to product behavior measurement and analysis across Chalkboard.Lead the strategy for product event instrumentation, encompassing taxonomy design, tracking plans, and governance.Develop and implement scalable measurement frameworks that are applicable across various teams.Establish best practices that uphold data quality, consistency, and trustworthiness.Collaborate with Product and Engineering to define success metrics prior to feature launches.Conduct proactive analyses of product and user behavior data to derive insights that inform roadmap initiatives.Facilitate and oversee experimentation across teams—from setup and monitoring to thorough analysis.Act as the internal expert for analytical tools like Amplitude.Enhance analytical rigor while ensuring team agility.

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.

THE POSITIONJoin our dynamic Casino Analytics team at FanDuel as a Product Analyst and play a crucial role in shaping our product strategy. You will be instrumental in providing actionable commercial insights that drive our Casino business forward, with a strong emphasis on understanding customer behavior. Collaborate with a talented group of analysts to enhance the tools, models, and data visualizations that support the success of FanDuel Group. This role offers a fantastic opportunity for cross-functional collaboration and influence within the FanDuel Casino's product strategy.As part of your role, you may be asked to perform additional duties as assigned by the company, ensuring we remain agile and responsive to our evolving business needs.

Role Overview The City of New York is hiring a full-time Data Analyst based in New York City. This position focuses on interpreting complex data sets and turning them into clear, actionable insights that support city initiatives. What You Will Do Analyze and interpret large data sets to identify trends and patterns Collaborate with multiple city departments to support data-driven decision-making Present findings that help advance projects aimed at improving life for New York City residents About the Team Work alongside colleagues across city agencies, contributing your analytical skills to projects that make a difference in the community.

THE POSITIONJoin our innovative Poker Analytics team as a Commercial Data Analyst! As the key source of insights into business health, performance metrics, and commercial KPIs, you will play a vital role in shaping our strategic decisions.Your responsibilities will include monitoring key performance indicators, conducting ad hoc analyses, and collaborating with various teams to identify growth opportunities and optimize business strategies. We seek a candidate with a robust background in commercial analytics, adept at transforming complex data into clear narratives that drive impactful decisions.Additionally, you'll support both operational and commercial teams while contributing to our analytics leadership strategy. Your ability to navigate ambiguity and challenge the status quo will be crucial to your success in this role.

Role overview aipconnect seeks a Senior Data Analyst specializing in Health Economics and Outcomes Research (HEOR) Consulting. This role is based in New York City and centers on supporting healthcare clients through data-driven insights. What you will do Analyze healthcare data to help clients make informed decisions that can improve patient outcomes and business performance. Work alongside cross-functional teams to uncover insights from complex datasets. Conduct advanced data analysis and communicate findings in a clear, actionable format. Team collaboration Join a group of colleagues from diverse backgrounds who are dedicated to advancing healthcare through data analysis and shared expertise.

Veeva Systems is a mission-oriented leader in the industry cloud, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the most rapidly expanding SaaS enterprises in history, we achieved over $2 billion in revenue last fiscal year, with exciting growth prospects on the horizon.Veeva operates on core values: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we champion your flexibility to work from home or in the office, enabling you to excel in your preferred environment.Join us in revolutionizing the life sciences industry through our commitment to making a positive impact on our customers, employees, and communities.The RoleAs a Senior Health Data Analyst on the Veeva Compass Product Team, you will be instrumental in supporting the foundational data structures and processes that guide the development of Payer data. Your contributions will include data collection, normalization, and analysis to create reliable Payer reference data. You will ensure high standards of data quality, consistency, and governance within the payer data domain, a critical reference data set. Collaborating closely with Product Managers, Engineering, QA, Terminologists, and Data Analysts within our Compass Product Team, you will help deliver exceptional Payer data through our Compass suite of products.This role is ideal for individuals with a strong understanding of the US insurance landscape who are driven by solving complex data challenges. Your meticulous attention to detail and commitment to delivering high-quality work will be key. In this role, you will bridge the complexities of payer data with actionable product insights.

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.

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...

Compensation: $120k – $170k + meaningful equityAbout the RoleJoin Onyx Odds as a Data Analyst specializing in Trading and Operations. This position is pivotal in leveraging data to enhance our trading strategies and operational efficiency within the dynamic world of sports prediction.Your ResponsibilitiesTrading AnalyticsAnalyze odds, lines, and market movements to inform trading decisions.Create and manage dashboards to track trading performance and risk levels.Identify trends and anomalies in sports data to uncover opportunities.Develop models and tools aimed at enhancing pricing accuracy and operational efficiency.Collaborate with the trading team to optimize strategies using data-driven insights.Operations AnalyticsMonitor and report on essential operational metrics across our platform.Examine user behavior, transaction processes, and overall platform performance.Pinpoint bottlenecks and inefficiencies, proposing actionable improvements.Support forecasting and capacity planning initiatives.Maintain data integrity and accuracy within operational systems.Cross-Functional CollaborationWork alongside product, engineering, and finance teams to align data-driven insights with business objectives.

Join the City of New York as a Senior Data Management Analyst, where you will play a critical role in managing and analyzing complex data sets to support city operations and decision-making. In this position, you will collaborate with various departments to enhance data integrity and drive data-driven strategies. Your expertise will help shape the future of data management within the city, ensuring that we leverage data to improve public services effectively.

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.

Faire is a technology-driven wholesale platform focused on supporting local businesses. The company connects independent retailers with a wide range of products, using data and machine learning to bring efficiency to the wholesale market. Role overview The Senior Associate, Marketing Analytics will use data to guide growth strategies and maximize ROI across Faire's marketing channels. This role involves close collaboration with both finance and marketing teams to deliver insights that shape business decisions. What you will do Analyze marketing performance to identify trends and opportunities for growth. Develop forecasts and contribute to lifecycle experimentation. Conduct channel analysis, A/B testing, and attribution modeling. Support brand and retailer marketing with strategic analytics to improve efficiency. Collaboration This position works cross-functionally, partnering with finance and marketing to ensure data-driven decisions support Faire's mission of empowering local businesses.