Senior Data Analyst (12-month Contract)

Canada Life

$80K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a related field or equivalent experience
  • 3-5 years of relevant experience in data analytics
  • Proficiency in SQL and Python for data extraction and modeling
  • Expertise in Azure, Databricks, and Power BI for data visualization
  • Strong analytical skills for problem-solving and strategic insights
  • Ability to work independently with minimal documentation
  • Familiarity with the Financial Services sector is an asset

Responsibilities

  • Translate business needs into actionable data requirements
  • Build and maintain data models, reports, and dashboards
  • Utilize Azure Databricks and SQL for data transformation
  • Collaborate with senior leadership to inform data-driven decisions
  • Define and monitor metrics and KPIs for business alignment
  • Drive new analytics initiatives from ideation to implementation
  • Present insights in an accessible manner to stakeholders

Benefits

  • Support for professional certifications and ongoing education
  • Opportunities for career progression within Canada Life
  • Work in a hybrid environment for better work-life balance
  • Access to employee wellness programs and resources
  • Participation in a comprehensive total rewards program
Full Job Description
Temporary Full Time

We are looking for a Senior Analyst to join Canada Life's Business Enablement, Data Analytics & Reporting team.

As a Senior Analyst you will join Canada Life's Business Enablement, Data Analytics and Reporting team. In this role you will support all Canada Operations and Business Enablement teams with the ideation, development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive.

The Senior Analyst, Data & Analytics is a data subject matter expert enhancing decision making, monitoring business performance, providing actionable insight, and driving operational efficiencies using advanced analytics and statistical techniques.

In this role, you will model, analyze, and predict complex business processes. You will translate business requirements into data, reporting, and analytics projects, which you will oversee and support throughout their entire lifecycle.

What you will do
  • 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


What you will bring
  • 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. This is a personal security status that is required as a condition of employment before an employee can gain access to Protected B information, assets or work sites as outlined by the Government of Canada website. The cost of submitting these checks will be covered by Canada Life.


The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

#LI-Hybrid

Requisition ID: 6869

Category: Corporate Functions

Location:

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