Product Data Analyst The Product Data Analyst is responsible for leading the collection, analysis, and interpretation of data to drive product strategy and execution. This role will work closely with product managers, engineers, sales, and support to ensure that data-driven decisions are made throughout the product lifecycle. You will build the framework that provides data and insights to empower our internal product teams that make data driven decisions that grow the business. If you are a highly motivated, curious, and data-driven individual with a passion for data-driven insights and product development, we encourage you to apply for this exciting opportunity. You will: - Responsible for leading the collection, analysis, and interpretation of data to drive product strategy, adoption and execution for the payment gateway. - Create and own data roadmaps to increase product performance transparency for product stakeholders. - Manage data analytics dashboards to track KPIs and deliver clear, actionable insights to product managers. - Monitor data accuracy, and support proactive investigation. - Support ad-hoc reporting framework where product managers can gather and analyze relevant data including customer/CAM surveys, product usage statistics, and market research. - Conduct opportunity sizing analyses, develop forecasting models, and present data-driven insights to influence strategic decision-making. - Collaborate with Engineering and Data Insights to design, build and document an analytics framework for product experimentation, A/B testing and advanced modeling to support long-term product performance. - Analyze large transaction datasets to uncover trends & opportunities across channels and payment methods (card, ACH, P2P). - Help product managers define, track, review, and respond to relevant KPI metrics by establishing monthly, quarterly and yearly cadence of facilitated exploration and analysis. - Respond to performance inquiries from partners, support, engineering, support and product -communicate breakages and help drive resolution. - Monitor transaction data integrity throughout the lifecycle, investigating incidents and anomalies. - Work with product engineering to define how and what data points to collect from products. Partner across value streams to validate accuracy of financial data and drive - Clearly communicate data-driven findings to stakeholders on a monthly, quarterly and yearly cadence. Establish and inspect quarterly OKR’s to measure efficacy of growth initiatives. - Contribute to data discipline across product by promoting an analytical approach, leveraging data-led experimentation for data-informed execution. - Identify inefficient operational processes and automate to reduce manual requirements. - Partner across teams to ensure financial reporting accuracy. Facilitate ledger and ACH reconciliation by identifying discrepancies, and optimizing settlement processes both internally and with partners. - Stay up-to-date on data science and contribute to the data analytics guild across NMI. You may be a fit for this role if you have: - Bachelor’s degree in a related field and/or 3+ years experience in a technical financial services role involving data analysis and interpretation. - Passion for data-driven decision making and drive to dig into our data, spot trends & anomalies. - Strong analytical skills with attention to detail for investigation and identification of issues within complex financial systems. - Track record of proactive issue-response and initiative progression including activation across value streams. - Strong written communication, verbal communication, and business acumen for effectively collaborating across technical and non-technical stakeholder groups. - Independent work ethic and ability to thrive in a fast-paced, agile product environment. - Experience documenting SOPs detailing data ingestion, processing, and reporting for constructed frameworks and ancillary tools. - Interest in data science and establishing data discipline across product teams. - Excellence in conceptual thinking and analytical problem solving. - Proficiency with data visualization tools (Tableau, PowerBI) and Excel/GoogleSheets. - Experience building data pipelines (ELT) ...via Fivetran, BigQuery and dbt or similar tooling. Benefits - Competitive compensation - Flex PTO Policy - Health, Dental and Vision Insurance - Life, ADD, Short-term and Long-term Disability insurance - 401k matching up to 4% after two months of service - Flexible Spending Account - 13 Paid Holidays - Bonusly colleague reward - Employee referral program - Paid Parental Leave #LI-Remote Salary range, depending on experience: $90,000—$120,000 USD

• Analyze the performance of jackpot campaigns across clients, platforms, and regions • Evaluate the effectiveness of launched companies based on volume, activity, and outcome metrics (bets, hits, prizes, engagement) • Build and maintain dashboards in Tableau • Monitor core product KPIs and track their changes over time • Support analysis of user behavior around jackpot events (before/after activity, retention trends) • Identify trends, anomalies, and growth opportunities across campaigns and partners • Prepare regular reports and present insights to stakeholders • Work with large datasets, ensuring data accuracy and consistency • Collaborate with data engineers and product teams to define data requirements and improve data quality • Help structure and improve reporting and analytical approaches

• Designing and implementing A/B product tests from ideation to result evaluation • Generating hypotheses for optimization in various flow components • Data research of various process funnels, identifying bottlenecks and problem areas. • Developing, maintaining and improving reporting on key strategy metrics • Supporting and enhancing data models for stable operation and monitoring

• Collect and consolidate financial reporting by product / business line / channel • Build and improve processes for automated financial reporting • Work with financial and product metrics, identify growth opportunities and revenue improvement areas • Prepare analytical insights, recommendations, and hypotheses to improve financial performance • Participate in reconciliation processes, data checks, and alignment of approaches together with the finance team • Collaborate with finance, operations, product, and BI teams to establish a unified reporting logic • Support and develop BI reporting, dashboards, and management analytics • Occasionally participate in task grooming, requirements structuring, and writing simple business/technical specifications for analytics or automation-related tasks