Sales Operations Data Analyst
Microsoft
Job Overview
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Job Description
Overview
Build dashboards executives actually use. This Sales Operations Data Analyst 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
This role encompasses several key areas of responsibility:
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
Key skills/competency
- Data Analysis
- Reporting
- Data Visualization
- SQL
- Power BI
- Business Intelligence
- Data Modeling
- Stakeholder Management
- Process Improvement
- Data Governance
How to Get Hired at Microsoft
- Research Microsoft's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume and cover letter to highlight experience in data analysis, visualization, SQL, and Power BI, aligning with the Sales Operations Data Analyst role requirements at Microsoft.
- Showcase data storytelling: Prepare to demonstrate your ability to turn complex data into clear, intuitive reports and present findings to executive-level stakeholders.
- Master technical skills: Brush up on SQL, Power BI, and data modeling concepts, as these are critical for the Sales Operations Data Analyst position.
- Network strategically: Connect with Microsoft employees on LinkedIn to gain insights and potentially learn about internal referrals for data analyst roles.
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