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Sr Data Analyst, Spotlight Listings

Job in Austin, Travis County, Texas, 78716, USA
Listing for: News Corp
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Sr Data Analyst, Sellers

Location:

Austin, TX, United States

Category:
Data Science & Analytics

Job

Description

What You’ll Do:
  • End-to-end ownership:
    You’d own the full measurement framework for a live product line — KPIs, dashboards, and instrumentation — not just contribute analyses to someone else’s model.
  • Solve High-Complexity Marketplace Problems:
    This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including pricing/packaging optimization and causal inference for interventions where standard A/B test assumptions often break down.
  • Strategic Executive Visibility:
    Because Spotlight Listing a growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won’t just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact.
  • Business Performance Reporting, Visualization and Analysis:
    Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
  • Deep-Dive Analysis:
    Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.
  • Opportunity Identification and Sizing:
    Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.
  • Partnership and Communication:
    Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.
  • Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude and be an advocate for adoption.
  • Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products and helping to identify actionable paths for product and customer care to take on to improve NPS.
  • Build relationships with other products and analytics teams to share best practices and enrich analytic practices.
  • Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics.
  • Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries.
What You’ll Bring :
  • Bachelor’s Degree in Business Analytics, Math, Economics, or equivalent work experience required
  • 5+ years of relevant experience or a Master’s Degree with 3+ years of experience
  • Experience using data to analyze product feature performance is preferred
  • Advanced knowledge in SQL
  • Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc.
  • Experience with cloud-based data environments such as AWS and Snowflake
  • Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics
  • Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)
  • Ability to think strategically,…
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