Sales Operations Data Analyst at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

169800.0

Posted On

14 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Dashboard Development, Data Modeling, Data Manipulation, Data Validation, SQL, Power BI, Data Exploration, Analytical Frameworks, Stakeholder Consultation, Process Improvement, Data Governance, Compliance Review, Executive Reporting, Business Acumen

Industry

Software Development

Description

Overview Build dashboards executives actually use. This role turns complex data models into clear, intuitive reporting that leaders can understand at a glance. You’ll build and maintain analytics products, pull and shape data across sources, and partner closely with senior colleagues to support high‑quality insights and decision making. As a Sales Operations Data Analyst in Microsoft Advertising, you will build and maintain executive‑ready dashboards and reporting that turn complex data models into clear, usable insights. You will pull, manipulate, and validate data across systems, partnering closely with senior ICs to support well‑scoped analyses for executive decision making. This opportunity will allow you to accelerate your analytics career, develop deep business and performance acumen, and strengthen your ability to translate complex data into executive‑level insights. 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 Analytics Development & Reporting Own the design, development, and ongoing management of executive dashboards and reports. Build durable analytics products by understanding business priorities, integrating data across sources, and contributing to analytical frameworks that enable executive decision‑making. Data Exploration & Framework Design Identify connections across diverse data sources and contribute to scalable analytical frameworks. Apply a customer‑ or stakeholder‑oriented mindset when examining business problems and informing data solutions. Data Sourcing, Analysis & Evaluation Identify and leverage appropriate data sources to support analytical work. Determine suitable analytical techniques, validate assumptions, and contribute to data‑driven recommendations. Insight Sharing & Cross‑Team Collaboration Synthesize and simplify insights to ensure findings are accurate, accessible, and actionable for stakeholders. Support and consult with partner teams to help identify relevant data‑driven opportunities and recommendations. Process Improvement & Model Evaluation Recommend efficiency improvements for recurring analytics work and assess the viability of automation for data collection. Understand linkages between analytical models and assist in model review processes; investigate potential deficiencies when issues arise. Data Governance, Privacy & Alignment Work across teams to align data sources, processes, and reporting standards. Engage stakeholders to act on identified opportunities and maintain awareness of privacy requirements. Ensure data used in analysis and reporting has undergone appropriate governance and compliance reviews. Other Embody our culture and values. Qualifications Required Qualifications: Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, 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 equivalent experience. Preferred Qualifications: Strong understanding of data visualization best practices 3+ years experience in data analysis, reporting, and visualization tools (e.g., experience with SQL and Power BI) Fluency in data visualization best practices #MicrosoftAdvertising Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 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 $112,000 - $185,300 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.

Responsibilities

The primary responsibilities involve owning the design, development, and management of executive dashboards and reports, building durable analytics products by understanding business priorities and integrating data across sources. Additionally, the role requires synthesizing insights for stakeholders, supporting partner teams, and recommending efficiency improvements for analytics work.