Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 6+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Not Applicable
- Application method
- Direct apply is available
Job summary
Manage salary structures, market data, pay scales, compensation tools, and reporting, including dashboards and salary request intake processes. Analyze competitive compensation data, manage survey submissions and results, and provide clear market-based guidelines and recommendations to Compensation Advisors and the Total Rewards team.
Job details
Job Description We are seeking an experienced Compensation Analyst in a backfill position to join a Total Rewards Compensation Operations team supporting a large, global organization. This role is focused on the analytical and operational side of compensation and is responsible for managing salary structures, market data, and pay scale systems to enable informed pay decisions across upstream, midstream, downstream, and corporate functions. The successful candidate will work heavily with data integrity, compensation tools, and reporting, including Power BI dashboards for salary offers and compensation movement, intake tools for salary requests and evaluations, and market survey submissions and analysis. Day to day, this individual will be analyzing year over year competitive analysis, data, developing data visualizations from their finding to provide concise recommendations. You will ensure accurate data submissions to compensation surveys and load returned results into internal systems. Additionally you will partner with HRIS on geographic zoning and location alignment and support the Compensation Advisors and Total Rewards team by translating market data into clear guidelines, insights, and recommendations. This is a non‑client‑facing, market research–driven role that requires strong analytical capability, clear communication, and the ability to apply global compensation experience to real‑time business decisions. This is a contract role based out Calgary or Saskatoon with the requirement to be on site 5 days per week. Required Skills & Experience 6+ years of experience in Compensation or Total Rewards (compensation‑focused) as an Analyst, Advisor, or Specialist Hands on experience and understanding of job architecture Global compensation experience supporting large employee populations (10,000+ employees) across Canada and the U.S. Advanced Excel skills (pivot tables, lookups) and experience with Power BI and presentation development Strong written and verbal communication skills with the ability to summarize and present data insights to stakeholders Agile, adaptable mindset with strong analytical thinking and attention to data integrity As part of our recruitment process, AI-assisted tools may be used to support candidate screening, resume review, interview note-taking, and application evaluation. These tools are intended to help improve efficiency and consistency throughout the hiring process. All hiring decisions remain subject to human review, and candidates are assessed based on their qualifications, skills, experience, and alignment with the requirements of the position.
What you’ll do
Manage salary structures, market data, pay scales, compensation tools, and reporting, including dashboards and salary request intake processes. Analyze competitive compensation data, manage survey submissions and results, and provide clear market-based guidelines and recommendations to Compensation Advisors and the Total Rewards team.
Requirements
Requires at least six years of compensation-focused experience in Compensation or Total Rewards, hands-on understanding of job architecture, and global compensation experience supporting large employee populations across Canada and the United States. Candidates need advanced Excel skills, Power BI and presentation experience, strong communication and analytical abilities, and careful attention to data integrity.
Listed skills
- Power BI · Preferred
- Data visualization · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Compensation Analysis
- Total Rewards
- Job Architecture
- Global Compensation
- Salary Structures
- Market Data Analysis
- Compensation Survey Submissions
- Advanced Excel
- Power BI
- Data Visualization
- Compensation Reporting
- Data Integrity
- Geographic Zoning
- Stakeholder Communication
- Analytical Thinking
- Presentation Development
Job areas
- Human Resources
- Data & Analytics
- Finance & Accounting
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