Microsoft Senior Data Analyst 

United States 

194267940

We are looking for awho is willing to work in a dynamic environment. You will need to be adept at managing business change, evolving requirements, adjustments in a strategic direction, and emerging technologies. You will need to be agile and flexible, yet proficient and disciplined. This is an amazing opportunity to be at the center of building a showcase worthy data capability, the successful candidates should have proven experience in program management, solid understanding of both business and engineering priorities, analytical, financial, organizational and communication skills. A passion for operational excellence, learning and mental agility will be valuable.

Required/Minimum Qualifications

• 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 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 equivalent experience.
• 4+ years of product and/or program management across an impactful portfolio of projects & stakeholders.
• 4+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI).

Other Requirements

Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Additional or Preferred Qualifications

• 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 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 equivalent experience.
• 6+ years of product and/or program management across an impactful portfolio of projects & stakeholders.
• 6+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Partner with and understand business needs of your stakeholders, prioritizing & translating those needs into technical requirements for the data & analytics engineering team.
• Determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, AI and/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources.
• Perform analysis on business operations using a variety of analytical tools (SQL, Python, Azure Databricks, Synapse, Power BI, Fabric etc), executes analyses and interprets results with actionable recommendations, and partners to build on others'' frameworks.
• Design, execute & streamline our intake processes, including user stories, acceptance criteria, bug & data matrices, and subsequent effort estimations and task sequencing.
• Insist & deliver on high standards of quality, including data accuracy & timeliness.
• Ensure all outputs & deliverables adhere to consistent frameworks and standards, including business rule logic & taxonomy.
• Define & measure the success/impact of requested analytics & reporting features via quantitative measures.
• To ensure all stakeholders are well-informed, deliver clear, concise, and comprehensive communication tailored to their specific needs and expectations.
• Mentor & teach on best practices – insistent focus on developing greatness in your peers.
• Participate in broader evangelization and communication to relevant Microsoft communities.
• Drive inclusion in everything you do.
• Understanding of Security and Privacy.

• Embody our