Compensation Analyst

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.