Senior Manager, Business Intelligence & Data Enablement
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Key skills for this role
About the Role
Compass Group seeks a Senior Manager, Business Intelligence & Data Enablement to join the Strategy team at Foodbuy. You will own reporting, design Power BI dashboards, improve data structures, and enable scalable insights.
Key Skills for This Role
Responsibilities
- Own and evolve reporting for the Strategy and Member Development teams
- Design and deliver scalable, high performance Power BI dashboards (including advanced DAX and Power Query development)
- Develop a cohesive dashboard strategy aligned to executive, operational, and functional user needs
- Translate complex datasets into clear, actionable insights for decision making
- Deliver recurring dashboards, deep dive analysis, and ad hoc insight requests
- Continuously enhance the performance, usability, and clarity of reporting outputs
- Drive consistency and standardization across dashboards and datasets
- Develop a deep understanding of end to end data flows across systems and functions
- Support team members in understanding the data architecture and flows
- Identify and diagnose data inconsistencies, gaps, redundancies, and process breakdowns
- Trace data issues back to source systems and workflows, driving root cause resolution
- Document and assess current data architecture and system dependencies
Requirements
- Advanced expertise in Power BI, including DAX, Power Query, and data modeling
- Strong proficiency in SQL (complex queries, transformations, optimization)
- Experience using Python for data processing, automation, and/or advanced analytics
- Familiarity with data warehouses and data lakes (e.g., Snowflake, BigQuery)
- Strong understanding of data modeling principles (relationships, normalization, star schemas, etc.)
- Ability to work with multiple data sources and complex, fragmented environments
- Experience building scalable, production quality dashboards and datasets
- Strong attention to detail with a focus on data accuracy and integrity
- Comfort working in ambiguous environments with evolving data structures
- 7 10 years of experience in data analytics, data science and/or data engineering
- Bachelor’s degree in computer science or similar preferred
- Exposure to machine learning or predictive modeling considered an asset
Full Job Posting
Position Overview
- We are seeking a highly analytical and technically skilled data and technology leader to join our growing Strategy team at Foodbuy.
- Reporting to the Director, Strategic Development, this role will play a key part in shaping how we use data, technology, and insights to drive smarter decisions and unlock new opportunities.
- This role sits at the intersection of data, analytics, and technology architecture, with a strong emphasis on building robust reporting solutions, improving underlying data structures, and enabling scalable, reliable insight generation.
- At this time, the role is an individual contributor.
Key Responsibilities
- Own and evolve reporting for the Strategy and Member Development teams.
- Design and deliver scalable, high performance Power BI dashboards (including advanced DAX and Power Query development).
- Develop a cohesive dashboard strategy aligned to executive, operational, and functional user needs.
- Translate complex datasets into clear, actionable insights for decision making.
- Deliver recurring dashboards, deep dive analysis, and ad hoc insight requests.
- Continuously enhance the performance, usability, and clarity of reporting outputs.
- Drive consistency and standardization across dashboards and datasets.
- Develop a deep understanding of end to end data flows across systems and functions.
- Support team members in understanding the data architecture and flows.
- Identify and diagnose data inconsistencies, gaps, redundancies, and process breakdowns.
- Trace data issues back to source systems and workflows, driving root cause resolution.
- Document and assess current data architecture and system dependencies.
Qualifications
- Advanced expertise in Power BI, including DAX, Power Query, and data modeling.
- Strong proficiency in SQL (complex queries, transformations, optimization).
- Experience using Python for data processing, automation, and/or advanced analytics.
- Familiarity with data warehouses and data lakes (e.g., Snowflake, BigQuery).
- Strong understanding of data modeling principles (relationships, normalization, star schemas, etc.).
- Ability to work with multiple data sources and complex, fragmented environments.
- Experience building scalable, production quality dashboards and datasets.
- Strong attention to detail with a focus on data accuracy and integrity.
- Comfort working in ambiguous environments with evolving data structures.
- 7 10 years of experience in data analytics, data science and/or data engineering, with a bachelor’s degree in computer science or similar is preferred.
- Exposure to machine learning or predictive modeling considered an asset.
- Experience with Power Platform (Power Apps, Power Automate) is a plus.
Salary Range
- The salary range for this position is CAD 100,000 to CAD 120,000.
- Final compensation will be determined based on relevant skills, experience, qualifications, and internal equity.
- In addition to base salary, eligible employees may be entitled to other elements of total compensation, which may include group benefits, employer RRSP contributions, and discretionary bonus or incentive programs.
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