Sr Data Analyst, Sellers

News Corp; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

13 Paid Holidays

Flexible Time Off

8 hours paid volunteer time off

3.5% 401(k) company match

Tuition Reimbursement

1:1 Financial Planning Sessions

Student Debt Retirement Savings Match

Free snacks and refreshments

Job summary

News Corp is seeking a Sr Data Analyst for the Sellers team to set measurement standards for a live product line. You will turn marketplace data into executive-ready insights and partner with Product, Marketing, and Sales to drive seller outcomes.

You’ll own dashboards, instrumentation, and advanced analyses, including A/B experiments and causal inference, with a focus on improving product performance and revenue impact.

Qualifications

• Bachelor’s degree in relevant field or equivalent work experience.
• 5+ years of relevant experience, or a Master’s with 3+ years.
• Advanced SQL and data exploration/visualization proficiency.

Responsibilities

• Own the full measurement framework with KPIs, dashboards, and instrumentation.
• Drive complex marketplace solutions including pricing optimization and causal inference.
• Provide strategic visibility to inform commercial decisions and measure impact.
• Lead reporting, visualization, and analysis for stakeholders.
• Conduct deep-dive analysis with A/B tests, modeling, and ML where needed.
• Forecast opportunities and size impact of proposed changes.

Skills

Advanced SQL

Tableau

Shiny

Streamlit

AWS

Snowflake

Excel/Sheets

A/B experimentation

Statistical modeling

Communication

Education

Bachelor’s Degree

Master’s Degree with 3+ years

Tools

SQL

Tableau

Shiny

Streamlit

AWS

Snowflake

Excel

Google Sheets

Amplitude

Job description

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.

What you’ll do

• 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.

What we’re looking for

• 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.

Bonus skills

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

Tools you’ll use

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

Benefits

• 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

Work location

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