Senior Data Analyst, Media Data Science & Analytics (eCommerce)
Job Location:
Redmond, WA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Responsibilities
Dashboards & Self-Serve Analytics -Build and maintain dashboards reports and self-serve analytics that give eCommerce web and marketing partners timely accurate visibility into commerce performance across Microsofts owned digital storefronts so they can focus on acting on insights rather than wrangling data.
Funnel Measurement -Analyze the web and eCommerce journey from acquisition and on-site engagement through sign-up checkout conversion and revenue connecting customer behavior to the durable business outcomes our partners own such as gross adds conversion and revenue.
Deep-Dive Analysis -Investigate revenue product and offer performance customer behavior and operational efficiency to surface actionable insights for partners proactively bringing trends anomalies and opportunities forward without waiting to be asked.
Trustworthy Data Foundation -Integrate data from multiple sources and partner closely with Data Engineering Finance Web data teams and other partners to define metrics validate data quality and ensure analytical outputs are built on a reliable well-modeled analytics-ready single source of truth.
Metric & Reporting Standards -Help establish consistent Key Performance Indicator (KPI) and metric definitions reporting standards and documentation practices that scale as the analytics function and its self-serve tools grow so partner teams work from the same metrics language.
Performance Driver Analysis -Identify and quantify drivers of performance change including product and offer launches merchandising and promotional changes technical factors seasonal patterns and external events so partners know whats real and what to act on.
Experimentation -Support experimentation such as A/B tests and web experience changes to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.
Work Smarter with AI -Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis automate recurring reporting workflows and move from manual reactive reporting toward proactive scalable insight that reaches partners faster.
Translate Communicate & Partner -Turn ambiguous business questions into structured analytical frameworks deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations and collaborate cross-functionally with eCommerce web experience engineering and marketing partners to prioritize improvements grounded in data.
Other - Embody ourCultureandValues
Qualifications
Required/ minimum qualifications
- Masters Degree in Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 2 years experience in data analysis and reporting data science business intelligence or business and financial analysis
- OR Bachelors Degree in Statistics Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 4 years experience in data analysis and reporting data science business intelligence or business and financial analysis
- OR equivalent experience.
- Masters Degree in Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 6 years experience in data analysis and reporting data science business intelligence or business and financial analysis
- OR Bachelors Degree in Statistics Mathematics Analytics Data Science Engineering Computer Science Business Economics or related field AND 8 years experience in data analysis and reporting data science business intelligence or business and financial analysis
- OR equivalent experience.
- Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
- Experience communicating analytical insights to stakeholders to inform decisions.
- Experience measuring web or eCommerce performance such as acquisition engagement conversion or revenue.
- Experience building dashboards or reusable reporting assets (e.g. Power BI).
- Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
- Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
- Familiarity with experimentation or attribution concepts.
- Experience using AI-assisted analytics tools (e.g. Microsoft Copilot) to accelerate analysis and automate reporting.
- Experience establishing KPI or metric definitions reporting standards or documentation for a growing analytics function.
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106400 - $203600 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $137600 - $222600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC
