Microsoft Sr Data Analyst 

Canada, British Columbia, Vancouver 

942751801

We are looking for a Sr. Data Analyst who is willing to work in a dynamic environment alongside our data governance, taxonomy and master data management team. 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 qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field

  AND 7+ 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 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis

  • OR equivalent experience.

Preferred qualifications

• 5+ years of product and/or program management across an impactful portfolio of projects & stakeholders
• 5+ 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)
• Proficient in problem solving, critical thinking, and communication skills
• Attention to detail and commitment to delivering high quality
• Initiative and passion for finding solutions to hard problems at scale and operationalizing them
• Demonstrated ability to work in ambiguous situations and across organizational boundaries.
• Proficiency in data modelling, data analysis, data warehousing and integration, data quality assurance
• Understanding of Privacy and Compliance aspects of data storage & processing as it relates to GDPR and PII
• 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.

Data Analytics IC5 - The typical base pay range for this role across Canada is CAD $121,800 - CAD $219,100 per year.

Find additional pay information here:

Microsoft will accept applications for the role until January 31, 2025.

• Partner with and understand business needs of your stakeholders, prioritizing & translating those needs into technical requirements and implement alongside our 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
• Embody our