Senior Data Analyst

Make tomorrow better. That is the essence of roles within our Microsoft Advertising Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We build on what’s come before to create what’s next. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.  

An opportunity to get your hands dirty with data across our Microsoft Ads marketplace ecosystem, for a curious, technical, agile, and driven individual who enjoys solving puzzles.  Our team monitors Microsoft Ads performance worldwide and investigates any deviation/anomaly to get to the root cause quickly.  Leverage your technical muscles and join our close-knit team who works closely with teams across Ads, Xandr, Bing, MSN, Outlook, MCG, XBOX, and more to solve these deviation mysteries.   

Come join the Microsoft Advertising Marketplace team!  We are a team of Product Managers and Data analysts located across the world who are responsible for managing the marketplace for publishers across Microsoft first party and third party. Our team manages the Non-Search marketplace focused on Display, Video, and Native advertising. We focus on monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. We work closely with the Engineering team to build and ship the next generation of algorithms and optimizations to deliver the best value to customers and experience to users. 

 In-order to manage the marketplace this team has to have a deep understanding on the Ads stack as well as a curiosity and willingness to get your hands dirty with data to understand and evaluate key metrics and how our releases impact the business. 

We are looking for high-energy analyst who is willing to work in a dynamic environment to monitor and grow our publisher performance. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required/minimum qualifications

• Master's 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 Bachelor's 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.
• 2+ years experience in AdTech. Programmatic Ads across Display, Native, and Video formats (Working with DSPs, SSPs, Ad Exchanges, etc.). 
• 2+ years experience in navigating complex datasets to come up with clean and actionable insights.  
• 2+ years experience in database querying using SQL or other similar languages. 
• 2+ years experience with data analytics tools like R, Python, Excel, Tableau, SAS, Power BI. 

• Master's Degree in 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 Bachelor's Degree in Statistics, 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 equivalent experience.
• 1+ year(s) experience in programming languages such as C, C#, C++, ASP.NET, Javascript.
• Excellent communication skills to be able to communicate insights to senior leaders. 

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $103,800 - $200,300 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 $133,700 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until November 7, 2024

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#JS#  #WebXT#  #BingAds# #Advertising#

• Work with large, complex data sets, solving difficulties, analysis problems with advanced analytical or statistical methods. 
• Continuously analyze and monitor the health of the marketplace, identify opportunities, and provide insights on the drivers behind performance. 
• Deliver on high impact analytical tools to diagnose and drive business critical insights to guide product and business development. 
• Work in close coordination with the Engineering team to ship next generation of algorithms and features. 
•  Evaluate the key metrics and understand the impacts of our releases to the marketplace and the bottom line.