Senior Product Analyst II

<div class="content-intro"><p>Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.</p> <p>*Banking services provided by MVB Bank, Inc., Member FDIC</p></div><h2>Job Description / What you’ll do:</h2> <ul> <li>Use Data to Find Product and Marketing Opportunities (40%)</li> <ul> <li>Assess complex business problems and/or system performance issues using data to provide insights that empower decision makers in product, marketing, data science, and engineering. </li> <li>Understand the overall Credit Karma ecosystem and help bridge analytics across product, marketing, and the external environment to identify growth opportunities.</li> <li>Utilize data-driven insights to construct forecasts, make strategic/tactical plans and ultimately make recommendations that generate value for Credit Karma and its members.</li> <li>Perform exploratory analysis to generate hypotheses, drive product or marketing strategy, and identify gaps while sizing opportunities for new features across one or more areas. </li> </ul> <li>Experiment Design and Analysis (40%)</li> <ul> <li>Design and analyze test results using advanced frequentist and/or Bayesian statistical methods (A/B, matched market, pre-post) to support new launches, drive improvements to existing features, and inform the product and marketing roadmaps. </li> <li>Use statistical modeling techniques, such as logistic regression to develop and evaluate product and marketing performance.</li> <li>Develop learning agendas and test plans to support agile, data-driven decision-making. Collaborate with cross-functional stakeholders across product, marketing, engineering, and data science to turn product ideas into new features.</li> </ul> <li>Improve Data Quality and Tools (20%)</li> <ul> <li>Partner with engineering and business intelligence to ensure proper tracking instrumentation of new products and tests. </li> <li>Support ongoing analysis and monitoring of revenue and engagement funnels across the platform.</li> <li>Predict revenue impact from changes in pricing, underwriting, approval models, and user behavior using regression and machine learning techniques.</li> <li>Automate the creation and monitoring of key business metrics using a combination of Airflow and Python, ensuring efficient operation and leveraging deep learning technologies to enhance data visualization and response to complex situations.</li> <li>Provide consultation to stakeholders and lead cross-functional teams to address business issues, while directly producing datasets and reports for analysis using reporting tools.</li> </ul> </ul> <p> </p> <p><strong>What We Are Looking For:</strong></p> <ul> <li>7+ years of analytics experience and BS/MS in Business, Economics, Engineering, Math, or Statistics.</li> <li>5+ years of experience with SQL </li> <li>5+ years of experience with A/B testing and/or knowledge of statistical techniques such as experiment design, significance testing, and causal inference</li> <li>5+ years of experience with data visualization tools such as Looker/Tableau for insight synthesis and presentation</li> <li>Strong Excel or Google Sheet skills</li> <li>Proven experience working with LLMs (ChatGPT, Claude, Gemini, etc.) for data analysis or automation</li> </ul> <p> </p> <p><strong>What We Would Like To See:</strong></p> <ul> <li>Exposure to Python and/or R </li> <li>Experience with software development a huge plus, espec ... (truncated, view full listing at source)