Job Description
The Opportunity:
As part of the Total Rewards and People analytics team at WSP Canada, the Total Rewards Analyst will play a key role in supporting the Total Rewards team and compensation and benefits analysis.
The ideal candidate will have experience in the compensation and benefits sphere paired with solid analytical and problem-solving skills. We are looking for someone with a deep understanding of Excel data set analysis, HR processes, and data integration during mergers and acquisitions.
Why choose WSP?
- We value and are committed to upholding a culture of inclusion and belonging
- Our Flexible Work Policy – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours. We will support you on and off the job so you can be fully present in both your work and home lives.
- A Canadian success story - we're proud to wear the red and white of this beautiful country and show the world what Canada has to offer.
- Enhance the world around you - from the environment to the highways, to the buildings and the terrain, WSP is the fabric of Canada.
- Outstanding career opportunities - we're growing and pushing ourselves every day to be greater than yesterday - we're open to your ideas and trying new things.
- A phenomenal collaborative culture and a workforce filled with genuinely good people who are doing humbly important work. Come find out for yourself what it's like to be a part of our journey.
We offer attractive pay, flexible work options, a great corporate culture, comprehensive and employee-focused benefits including virtual healthcare and a wellness platform as well as great savings programs, and a clear vision for the future.
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What you can expect to do here:
Data Analysis and Reporting:
- Collaborate with the Total Rewards team to gather and analyze compensation and benefits data, ensuring accuracy, completeness, and data integrity.
- Conduct exploratory data analysis to identify trends, patterns, and outliers within compensation and benefits data.
- Prepare and generate reports, dashboards, and presentations to communicate compensation and benefits insights to stakeholders and senior management.
- Develop and maintain data visualization tools and templates to facilitate data-driven decision-making.
- Conduct data analysis to identify data quality issues, data anomalies, and data discrepancies, and work with HR teams to resolve them
Total Rewards Data Management:
- Work closely with HR professionals and other stakeholders to collect, organize, and validate Total Rewards data from various sources.
- Clean and transform data using appropriate techniques to ensure data quality and consistency.
- Develop and maintain data governance protocols and best practices to ensure data accuracy and compliance with privacy regulations.
- Identify data gaps, inconsistencies, and anomalies, and collaborate with relevant teams to address and resolve them.
Collaboration and Stakeholder Management:
- Collaborate closely with the Total Rewards team, HR professionals, and other stakeholders to understand their data needs and requirements as it relates to Total Rewards.
- Provide analytical support and data-driven recommendations to guide compensation decision-making processes.
- Communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders.
- Participate in cross-functional projects and initiatives to integrate Total Rewards data with other HR systems or business intelligence tools.
What you’ll bring to WSP:
- Bachelor’s degree in Business, Finance, Human Resources, Mathematics, Economics, and Accounting, or other related field;
- 3 to 5 years’ experience working as a Total Rewards Analyst, preferably in the HR or compensation domain
- Strong proficiency in data analysis and data manipulation using Excel or other tools.
- Advanced level in Excel and building strong models to support compensation programs.
- Solid understanding of compensation principles, HR practices, and total rewards programs.
- Ability to work with large and complex datasets, as well as data cleaning and preprocessing techniques.
- Results-oriented individual with strong analytical, problem-solving skills and attention to detail.
- Excellent communication and presentation skills to effectively convey analytical insights to stakeholders.
- Ability to work collaboratively in a team environment and manage multiple priorities and projects simultaneously.
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