Analyst II, Contractor Lifecycle Optimization

Saskatoon, SK
On-site
Posted Oct 16, 2026
1 position

$85,000–$107,000 / year

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Employment type: Contract
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level

Job summary

Monitor, validate, and improve contractor lifecycle and training data in Fieldglass and the Learning Management System, investigating data issues and coordinating corrective actions. Develop reports, dashboards, reconciliations, and KPIs, document processes and business rules, and recommend process, automation, and AI improvements in collaboration with business, technical, and training teams.

Job details

Job Category: Human Resources Location: Saskatoon Work Contract: Temp Full-Time H (K5) At Cameco we understand the value of a diverse workforce and we embrace, encourage and support workplace inclusion and diversity. New ideas, perspectives, experiences, and expertise make Cameco stronger. We are committed to building a diverse workforce reflective of the communities we operate in. Our vision is to create a culture where inclusion is the goal, and a diverse and representative workforce is our measure of success. Cameco is committed to providing an inclusive selection process, free from systemic barriers. support employment equity and encourage all members of underrepresented groups (i.e., women, Indigenous peoples, persons with disabilities and members of racialized groups/visible minorities) to voluntarily disclose. Cameco welcomes applicants from all backgrounds, abilities, and experiences to apply. About Us Cameco is one of the largest global providers of the uranium fuel needed to power a secure energy future. Utilities around the world rely on our nuclear fuel products to generate safe, reliable, emissions-free nuclear power. Cameco’s corporate office is based in Saskatoon. We have mining operations and projects in northern Saskatchewan, Kazakhstan, the United States and Australia. We are also a leading supplier of uranium refining, conversion, and fuel manufacturing services from our operations in Ontario. The Role As a member of the Contractor Lifecycle Optimization team, you will support the quality accuracy and reliability of contractor lifecycle and training data. Working with business, technical and training partners, you will analyse data, investigate issues and recommend improvements to processes, reporting and system use. You will also help identify practical opportunities to use analytics, automation and artificial intelligence to improve efficiency, strengthen controls and support informed decision making. This is a 12-month temporary position. In This Role, You Will Monitor, validate and improve contractor data across Fieldglass and the Learning Management System. Investigate data quality issues, identify root causes and coordinate corrective actions. Develop reports, dashboards, reconciliations and key performance indicators to support decision-making Document processes, business rules and user guidance to support consistent system use. Recommend and support process, automation and artificial intelligence improvements while building relationships across business, technical and training teams. Required bachelor’s degree in data analytics, business analysis, information systems, computer science, statistics, commerce or a related discipline; three to five years of progressive experience in data analysis, business analysis, reporting, system support, data governance or process improvement; equivalent combination of education and work experience considered; experience documenting processes, requirements, business rules, data definitions or work instructions; and proficiency with data analysis and reporting tools such as Excel, Power BI, SQL or similar applications. Recommended experience with contractor lifecycle, workforce management, procurement or human resources processes; experience with reporting, data governance, process improvement or system integrations; and familiarity with automation, artificial intelligence or workflow solutions. Cameco is proud to offer a competitive total reward package which includes: competitive compensation program with base and variable pay; flexible health, drug, dental, and vision plan with a health spending and personal spending account; fixed benefits including employee and dependant life, AD&D, disability benefits and paid vacation leave; Employee and Family Assistance Programs; RRSP and RPP matching program; and career development opportunities. Cameco is an employment equity employer and aims to achieve gender parity, and as such, preference will be given to qualified members of equity groups. We are strengthened by the diverse backgrounds of experiences and encourage applicants with various levels of expertise to apply, as equivalent combination of education and work experience are considered. This position is eligible for the employee referral bonus. Req ID #: 42565 Posted: October 15, 2026 Posting end date: October 29, 2026 Salary Range: $85,000 - $107,000 The physical and psychological safety of our employees is a top priority at Cameco. We invite candidates to voluntarily disclose accommodation requirements, if contacted in relation to a job opportunity. Information received will be addressed confidentially and Cameco’s Workplace Inclusion and Accommodation Program document is available upon request. Successful candidates for all positions that will work at Safety Sensitive Sites or Safety Sensitive Positions must take and pass a Substance Test, which includes marijuana, as a condition of employment. Marijuana remains in a user’s system for about 30 days, so applicants who recently used marijuana recreationally should not expect to pass a substance test.

What you’ll do

Requirements

A bachelor’s degree in data analytics, business analysis, information systems, computer science, statistics, commerce, or a related discipline is required, along with three to five years of relevant progressive experience; equivalent education and experience may be considered. Candidates should have experience documenting processes or requirements and proficiency with tools such as Excel, Power BI, or SQL; contractor lifecycle, workforce management, procurement, HR, data governance, integrations, automation, or AI experience is an asset.