Sr Data Analyst, Sellers

As a Sr Data Analyst on our Sellers team, you will help set the measurement standard for a live product line at News Corp. This role combines end-to-end KPI and dashboard instrumentation with advanced analysis, so you can turn marketplace and product engagement data into executive-ready insights that drive measurable seller-focused outcomes. You will collaborate closely with Product, Marketing, and Sales while building trust in analytics across teams and product experiences.

• Own the full measurement framework for a live product line, including KPIs, dashboards, and instrumentation, not just isolated analysis.
• Drive solutions to complex marketplace problems
  , including pricing and packaging optimization and causal inference for interventions where standard A/B test assumptions may not hold.
• Provide strategic executive visibility by partnering with Product, Marketing, and Sales to inform commercial decisions and measure product impact.
• Lead business performance reporting, visualization, and analysis to help stakeholders understand performance and determine whether to improve results or double down on what’s working.
• Conduct deep-dive analysis using advanced methods (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to understand how people interact with product features and translate findings into recommendations.
• Forecast and size opportunities by evaluating short-run and long-run dynamics of proposed changes, setting targets for business performance, and optimizing lead generation and funnel improvement.
• Build and strengthen analytics capabilities by working with other data teams to improve data architecture, data visualization, data modeling, and testing platforms.
• Support adoption of analytics tooling by ensuring seller customer interactions are included in the build out of Amplitude, advocating for adoption, and building trust through consistent analytics delivery.
• Improve seller-focused customer outcomes by understanding drivers of Net Promoter Score (NPS) and identifying actionable paths for product and customer care improvements.
• Produce insights across the analytics lifecycle from analytic plan creation through end-of-analysis summaries, including quantitative analysis, ad hoc reporting, and statistical models covering engagement and funnel conversion metrics.

• Bachelor’s Degree in Business Analytics, Math, Economics, or equivalent work experience.
• 5+ years of relevant experience, or a Master’s Degree with 3+ years of experience.
• Preferred: experience using data to analyze product feature performance.
• Advanced SQL knowledge.
• Experience with data exploration and visualization tools such as Tableau
  , Shiny
  , and Streamlit
  .
• Experience with cloud data environments such as AWS and Snowflake
  .
• Advanced technical and modeling skills, including Excel or Google Sheets (for example: pivot, vlookup) and data analytics.
• Understanding of experimentation and statistics concepts (confidence intervals, hypothesis testing, regression analysis, etc.).
• Ability to think strategically about product performance drivers and interpret conversion funnels with identified fallout points.
• Strong communication skills, including written and verbal presentation experience with diverse audiences.
• Comfort working in an agile, iterative environment, with strong self-management and time management.

• Experience in a subscription business.
• Knowledge in Python or R.

• SQL
  , Tableau
  , Shiny
  , Streamlit
• AWS
  , Snowflake
• Excel
  , Google Sheets
• Amplitude
• A/B experimentation, statistical modeling, matched pair, machine learning

• Inclusive and competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays and Flexible Time Off
• 8 hours of paid volunteer time off
• Immediate eligibility into the Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Onsite in Austin, TX, United States
. For most roles, employees work three or more days in the Austin headquarters for in-person collaboration.