Sr. Data Analyst (Big Data, Data Science)

Stealth Talent Solutions; Austin (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Stealth Talent Solutions in the US is building a brand-new data science team and this is the first hire.

You’ll work with one of the industry’s largest advertising datasets, run analyses in notebooks, and build dashboards in Superset and Power BI.

On-site three days a week in downtown Austin, TX. Full-time, direct hire. Start planned for December 2026; US citizens and green card holders only; no sponsorship.

Qualifications

• 5+ years as a data analyst or data scientist.
• Strong Python and SQL on genuinely large datasets, not sample extracts.
• Solid statistics including hypothesis testing, judging signal from noise.
• Advertising technology experience: bids, impressions, installs, attribution, auction mechanics.

Responsibilities

• Query terabytes of impression, bid, event and install data in AWS S3 using Athena.
• Build analyses in notebooks and document them.
• Build and maintain internal dashboards in Superset, with Power BI for leadership reporting.
• Run roughly two to three analysis requests per week, plus weekly reporting on main accounts.
• Partner daily with ad operations, account managers and sales engineers to grow spend.
• Work proactively with competitor comparisons, Connected TV reviews, country-level breakdowns.
• Present and explain findings to non-technical stakeholders in plain language.
• Feed learnings into Product and ML roadmaps.

Skills

Python

SQL

Statistics

Advertising technology

Communication

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

AWS Athena

Superset

Power BI

Jupyter notebooks

Job description

A global mobile advertising technology company is building a brand-new data science team in the US, and this is the first hire on it. You’ll work inside one of the largest advertising datasets in the market, roughly 8 million ad requests per second, and turn it into decisions that commercial teams act on the same week. This is a big data analysis role, not a model-building role: a separate machine learning team builds the algorithms, and you analyze what they and the campaigns produce.

What you’ll do

• Query terabytes of impression, bid, event and install data in AWS S3 using Athena
• Build your analysis in notebooks, in whichever tool you prefer, and document it
• Build and maintain internal dashboards in Superset, with Power BI for leadership reporting
• Run roughly two to three analysis requests a week, plus weekly reporting on the main accounts
• Partner daily with ad operations, account managers and sales engineers so they focus on the right accounts and grow spend
• Work proactively as well as reactively: competitor comparisons, Connected TV segment reviews, country-level breakdowns
• Present and explain your findings to non-technical stakeholders in plain language
• Feed what you learn into the Product and machine learning roadmaps

What you bring

• 5+ years as a data analyst or data scientist
• Strong Python and SQL on genuinely large datasets, not sample extracts
• Solid statistics including hypothesis testing, and the judgment to tell a real change from noise
• Advertising technology experience: bids, impressions, installs, attribution, how an auction works
• The ability to frame a vague question, run the analysis and land a clear recommendation
• Strong communication with commercial, non-technical audiences
• A bachelor’s or master’s in a quantitative field

Nice to have: DSP, SSP or mobile measurement platform experience (AppsFlyer, Adjust), mobile user acquisition or gaming growth analytics, Connected TV, Superset or Power BI.

The details

On-site three days a week in downtown Austin, TX. Full-time, direct hire. Target start: first or second week of December 2026. US citizens and green card holders only; no sponsorship or transfers available.