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Sr. Data Analyst - Job Opportunity at Microsoft Canada

Vancouver, Canada
Full-time
Senior
Posted: January 26, 2025
Remote
CAD 121,800 - 219,100 per year

Benefits

Flexible remote work policy with 100% WFH option
Comprehensive Microsoft benefits package
Career development and mentorship opportunities
Access to cutting-edge technology and tools

Key Responsibilities

Lead data governance and taxonomy initiatives across Microsoft's Customer Experience & Success organization
Drive data-driven decision making through advanced analytics and ML model development
Develop and implement data platforms and workflows supporting business intelligence
Manage stakeholder relationships and translate business requirements into technical solutions
Oversee quality assurance and compliance in data management processes

Requirements

Education

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

Experience

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

Required Skills

SQL Python Azure Databricks Synapse Power BI Fabric Machine Learning AI Data modeling Data warehousing Critical thinking Communication skills

Certifications

Microsoft Cloud Background Check
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Sauge AI Market Intelligence

Industry Trends

Increasing focus on customer experience analytics and data-driven decision making in enterprise software Growing demand for integrated BI solutions combining traditional analytics with AI/ML capabilities Shift towards cloud-based data platforms and real-time analytics

Salary Evaluation

The offered salary range is competitive for the Vancouver market and reflects Microsoft's position as a top-tier employer. The wide range (121.8K-219.1K CAD) suggests significant room for negotiation based on experience and expertise.

Role Significance

Likely working within a team of 5-10 data professionals, with dotted-line relationships to multiple business units
Senior individual contributor role (IC5) with significant influence on data strategy and governance

Key Projects

Customer experience optimization initiatives Support operations analytics platform development Machine learning model implementation for predictive analytics Data governance framework development

Success Factors

Strong balance of technical expertise and business acumen Ability to influence without direct authority across organizational boundaries Excellence in stakeholder management and communication Deep understanding of data governance and compliance requirements

Market Demand

Very high demand position, particularly given the intersection of data analytics, ML/AI, and customer experience expertise required

Important Skills

Critical Skills

Azure stack expertise - essential for working within Microsoft's native environment Data governance and compliance knowledge - critical for handling sensitive customer data Stakeholder management - key for success in a matrix organization

Beneficial Skills

Machine learning and AI expertise - growing importance for predictive analytics Power BI and Fabric proficiency - emerging platforms with increasing adoption Industry-specific knowledge in enterprise software

Unique Aspects

Rare combination of enterprise-scale data operations with customer experience focus
Opportunity to influence Microsoft's global support infrastructure
Significant autonomy in work location and approach

Career Growth

2-4 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Principal Data Scientist Analytics Manager Data Platform Architect BI Director

Company Overview

Microsoft Canada

Microsoft's CE&S organization represents a critical function within the company's global operations, focusing on customer success and experience optimization

Industry leader in enterprise software and cloud services with strong market position
Significant presence in Vancouver with growing technical operations
Innovation-focused culture with emphasis on growth mindset and inclusion
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