Data Analyst

goeasy Ltd.

Goeasy Ltd. is among Canada's rapidly expanding companies, gaining numerous accolades such as Waterstone Canada's Most Admired Corporate Cultures and Report on Business for Canada’s Top Growing Companies. The company aims to assist Canadians in achieving a better future through a variety of lending products. They are currently seeking a passionate Data Analyst to join their team, focusing on deriving actionable insights from data and improving data quality.

In this role you can expect to have the responsibilities:

• Work in an agile environment to collaborate on program planning, data integration, and technical integration activities.
• Act as a subject matter expert for data integration, collaborating with stakeholders to address complex data transformation issues.
• Translate business requirements into technical data and report requirements to support data-driven decisions.
• Develop data models and ensure data quality, awareness, and re-use.
• Publish artifacts for business insight and reporting platforms, assisting stakeholders through data exploration.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Manage data migration to Cloud (Azure) and create analytical data sets.
• Locate and define new process improvement opportunities.

This role comes with the following benefits:

• RRSP match and Employee Share Purchase Plan programs.
• Annual bonus for dedication and hard work.
• Employee discounts on furniture, electronics, and appliances.
• MAT & PAT leave top-up.
• 24/7 healthcare with Virtual Doctor Appointments.
• Flexible modular benefits package.
• On-site private gym access.
• Tuition Assistance Program.
• Company Matched Charitable Donations.
• Internal development training programs and platforms.
• State-of-the-art office space with a games room, healthy snack program, and free gated parking.

This role requires you to have:

• Proven experience as a Data Analyst and Data Modeler.
• Expertise in data models, database design, data mining, and segmentation techniques.
• Strong analytical skills with meticulous attention to detail.
• Proficiency in queries, report writing, and presenting findings.
• 5+ years of experience working with large volumes of structured and unstructured data.
• Strong SQL skills and knowledge of RDBMS and Data Lake concepts.

You would benefit from having:

• Knowledge of data warehousing architecture and business intelligence.
• Familiarity with data processing languages such as Python or Scala.

Goeasy Ltd. is committed to a diverse and inclusive work environment where everyone feels valued and can reach their potential. They provide accommodations for applicants during the recruitment process and require successful candidates to pass a criminal background check, credit check, and validation of work experience.