채용
Compensation
$106,400 - $203,600
Required Skills
Data analysis
Business intelligence
Financial analysis
Data visualization
Overview:
Be at the center of executive decision‑making, turning complex executive‑level questions into insights that shape business decisions and inform what the organization does next. Partnering with peers, managers, and executive leaders, you own high‑impact analysis and synthesize findings into clear recommendations. You connect data, context, and business judgment to influence next steps at scale. Your work creates clarity, momentum, and alignment when decisions matter most.
As a Senior Sales Operations Business Analyst in Microsoft Advertising, you will partner closely with managers and executive leaders to analyze complex business questions, deliver insights, and inform critical decisions. You will shape analyses end to end, synthesizing data, developing clear recommendations, and helping leaders determine next steps that drive organizational outcomes. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and become adept at influencing decisions through structured analysis and insight. This is a full-time in-office role.
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.
Responsibilities Business Understanding & Problem Framing
- Build a deep understanding of the business across multiple domains to anticipate business problems and identify analytical solutions.
- Translate evolving business needs into clear data requirements; determine new data sources needed and proactively address data gaps or quality issues.
Analytical Strategy, Tools & Techniques
- Determine the appropriate analytical tools, models, and methodologies to address business questions and guide others in executing analyses.
- Critically evaluate assumptions, data integrity, and methodological approaches; provide feedback that strengthens analytical rigor and tool selection.
Insights Synthesis & Storytelling
- Synthesize findings across analytical workstreams, dashboards, and reporting platforms to develop clear, cohesive presentations that inform decision‑making.
- Guide others in preparing executive‑ready presentations that accurately and appropriately communicate insights.
Evaluation & Experimentation
- Identify relevant factors and data types to include in analyses and evaluations, accounting for risks and potential trade‑offs.
- Integrate results across multiple evaluations, identify connections to other analytical work, and recommend the next steps or strategies.
Data Quality, Governance & Cross‑Functional Collaboration
- Leverage strong partnerships across engineering, business, and analytics teams to ensure access to quality data, sound methodologies, and appropriate application of tools.
- Promote scalable analytical and reporting methods that drive efficiency and evaluate the relevance and viability of automated reporting solutions.
Other
- Embody our culture and values.
Qualifications Required:
- Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience
Preferred:
- Bachelor's Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience OR business and financial analysis
- 4+ years’ experience in online advertising.
- 4+ years’ experience presenting compelling data stories to executive audiences.
#Microsoft Advertising
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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
This 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.
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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a Friend
Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Junior/L3
Mid/L4
Junior/L3 · Advertising Client Success
2 reports
$163,358
total / year
Base
$141,875
Stock
-
Bonus
-
$163,358
$163,358
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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