Data Analyst improving Instacart’s online grocery fulfillment quality through operational analytics. Monitoring retailer performance, diagnosing issues, and delivering recommendations to cross - functional stakeholders.
About the role
- Senior Analyst in Data & Analytics at Canada Life, enhancing decision making with advanced analytics and statistical techniques. Involved in supporting analytics solutions and overseeing projects from ideation to implementation.
Responsibilities
- Translate business needs into data requirements; collect, integrate, clean, model, and analyze large datasets; and visualize and present insights to business leaders.
- Build, implement and maintain data models, custom reports, and dashboards.
- Use Azure Databricks and advanced SQL to transform and model data, and Power BI to deliver governed, insight ‑ driven reporting and analytics solutions.
- Work with large datasets that are not consistent, clean, or fully modelled.
- Apply strong communication, influence, and strategic thinking to shape analytics solutions and drive business decisions.
- Define, implement, and monitor metrics and KPIs and ensure ongoing strategic alignment with short and long-term business objectives.
- Enable effective, efficient working relationships with business partners.
- Work closely with senior leaders to understand business drivers and enable them to make decisions based on data.
- Oversee and support projects throughout the entire analytics lifecycle.
- Assist the business in the ideation of new analytics initiatives ranging from descriptive, diagnostic, predictive to prescriptive.
- Present and communicate insights and recommendations in a visual and simplified manner.
- Retrieve, integrate, and transform data from multiple systems using SQL, Python, and other scripting languages.
Requirements
- 3-5 years of relevant experience and a master’s degree in related field of study, or an equivalent combination of bachelor’s degree and extensive related experience.
- Strong experience in working with data analytics tools (SQL, Python), Databases (SQL Server), Cloud (Azure, Databricks), data visualization tools (Power BI) with demonstrated experience at creating interactive dashboards.
- Ability to write complex and efficient SQL and Python queries to extract, integrate and transform data from multiple sources and automate data pipelines.
- Advanced skills in Power BI, Data Modeling, Power Query, and DAX Microsoft Power BI Data Analyst (PL ‑ 300) certification preferred.
- Strong experience working with raw data and manipulating large datasets.
- Subject matter expertise in data analytics and statistical modelling.
- Polished communication and presentation skills to audiences including senior leadership.
- Strong analytical skills for problem solving and to monetize value for the organization.
- Ability to work with little to no documentation or instruction.
- Think outside the box and identify solutions to overcome obstacles.
- Proven ability to learn and handle multiple priorities in a challenging work environment.
- Experience within the Financial Services sector would be an asset.
- Reliability Status Security Clearance – this can only be completed with candidates who receive an offer of employment.
Benefits
- Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
- Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Company-matching pension plan, share ownership program and additional investment options.
- Employee recognition programs, service milestone celebrations, employee discounts and more!
- We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
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