Senior Data Reporting Analyst

At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. In our caring and collaborative environment, your curiosity is encouraged, your passion is recognized, and your contributions truly matter. Together, we create meaningful impact, for our clients, our communities, and each other.

The Opportunity: ​ At Equitable, we believe great things happen when we work together. We’re a Canadian mutual company driven by purpose - putting people first and helping Canadians protect today and prepare for tomorrow. If you’re passionate about making a difference and growing your career in an inclusive and collaborative environment, we’d love to hear from you. 

Our culture is built on care, passion and curiosity. We put people above all else, strive to be our best and welcome new ideas to deliver positive outcomes. 

Equitable is growing! We are looking for a Senior Data Reporting Analyst to join our Group Actuarial team!

As a Senior Data Reporting Analyst at Equitable, you will play a crucial role in designing, developing, and maintaining data & reporting assets. Your work will directly support our reporting needs and help automate manual processes to improve efficiency and accuracy. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.

Join one of the region’s top employers and be part of something that truly makes a difference. 
 

Work Arrangements: This is a hybrid role. You will work in our office in Waterloo, ON a minimum of two (2) assigned, consecutive days every other week, plus a fifth (5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.

 
What you’ll do:

• Design, develop, and maintain data & reporting assets
• Build and optimize data pipelines to support reporting in Power BI
• Automate manual processes to enhance efficiency and accuracy
• Collaborate with data analysts, actuaries, and other stakeholders to understand data requirements
• Ensure data quality and integrity throughout the data lifecycle
• Implement best practices for data management and governance
• Stay up-to-date with the latest industry trends and technologies

What you’ll bring:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of relevant work experience in data engineering or a similar role
• Strong programming skills in Python, including experience with relevant libraries such as pandas, numpy, statsmodels, scikit-learn, and tensorflow.
• Proficiency in Python and SQL
• Experience with database management systems
• Experience with data visualization tools, particularly Power BI
• Knowledge of statistical, machine learning, and deep learning techniques
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Experience with cloud platforms (Azure)
• Familiarity with big data technologies like Hadoop, Spark, or Kafka
• Experience with CI/CD pipelines and version control systems (e.g., Git)

What’s in it for you:

• Career Growth: Regular learning sessions and development opportunities  
• Total Rewards: Incentive pay, annual salary reviews, employer-paid benefits and pension matching 
• Time Away: Competitive vacation plus one paid volunteer day each year 
• Flexibility: Healthy work-life balance with employee wellness always top of mind, complemented by a “dress for your day” approach 
  

We’re committed to fair pay and an inclusive, accessible hiring experience. If you need accommodations or alternative formats at any stage, just reach out to us at [email protected]. We’re happy to help.

If you’re selected to move forward, our Talent Acquisition team will walk you through all the details of our total rewards program, so you know exactly what’s included. This position is open and we are excited to find the right person to join our team. Your base pay will be based on your skills, qualifications, experience and education. 

At Equitable, your resume will be reviewed by real people and all hiring decisions are made by our recruiters and hiring managers. AI tools may be used to support administrative and productivity tasks throughout the recruitment process, but we believe that evaluating experience, skills, and talent potential requires meaningful human interaction.

As part of our commitment to maintaining a secure and trusted workplace, candidates selected to move forward in the recruitment process will be required to complete a background screening in accordance with company policy.

Reports To: Head of Data & Analytics, Group Insurance
Department: Group
Term: Permanent Full-Time

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