Data Systems Analyst

Sleep Country Canada

$75K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data, Analytics, or a related field.
  • 4 to 6 years of experience in data analysis, BI, or data engineering roles.
  • Proficient SQL skills to handle large datasets independently.
  • Experience with source system data (ERP, POS, OMS, e-commerce) is essential.
  • Hands-on experience with BI tools like Qlik, Power BI, or Domo is required.
  • Preferred experience in retail or e-commerce reporting environments.
  • Strong communication skills for stakeholder interaction and requirement gathering.

Responsibilities

  • Build and maintain reports using existing semantic models.
  • Validate report accuracy by reconciling data against source systems.
  • Coordinate user acceptance testing with business stakeholders.
  • Translate business requirements into detailed report specifications.
  • Create and maintain documentation for reports and metrics.
  • Support self-service reporting through training and documentation.
  • Collaborate with teams to define reporting needs and ensure quality outputs.

Benefits

  • Career growth opportunities and advancement.
  • Diverse and inclusive work environment.
  • Extensive training, mentoring, and continuous development.
  • Full medical and dental benefits.
  • Annual Wellness Credit of up to $250 for health-related products/services.
  • Associate discount on premium sleep products.
  • Maternity/Parental leave top-up benefits.
  • Tuition Reimbursement Program for professional and personal development.
  • Paid day off for volunteering at a local charity.
Full Job Description
Job Description

Sleep Country/Dormez-vous? is seeking a Data Systems Analyst to support the development, validation, and delivery of business reporting solutions across the organization. Reporting to the Director, Data Engineering, this role works closely with business stakeholders and data engineering teams to build reports from existing semantic models, validate data quality, document reporting requirements, and support user adoption of BI tools. The successful candidate will help ensure accurate, reliable, and accessible data is available to business users for informed decision-making.

In this current open role you will:
  • Build and maintain reports using existing semantic models, extending measures, visuals, and dashboards to answer business questions without duplicating logic.
  • Validate the accuracy, completeness, and reliability of reports by reconciling data against source systems and identifying gaps before release to end users.
  • Coordinate user acceptance testing with business stakeholders, including managing test cycles, logging and resolving defects, and securing formal sign-off.
  • Gather business requirements and translate them into clear, detailed report specifications that can be used for development.
  • Create and maintain clear documentation, including report specifications, metric definitions, migration mapping, and business scenario documentation used by both technical and business teams.
  • Support self-service reporting adoption through user training, guided walkthroughs, and documentation that reduces repeat requests.
  • Collaborate with business and technical teams to define reporting needs, align on metric definitions, and ensure reporting outputs meet business expectations.
  • Contribute to source system documentation and business scenario mapping to support data model design and reporting consistency.

The qualifications and experience we like to see:
  • Bachelor's degree in Computer Science, Engineering, Data, Analytics, or a related field.
  • 4 to 6 years of experience in a data analyst, BI analyst, data systems, data engineering, data platforms, or analytics-related role.
  • Strong SQL skills, with the ability to profile, join, and reconcile data across large and imperfect datasets independently.
  • Experience working directly with source system data such as ERP, POS, OMS, or e-commerce platforms, rather than only consuming curated warehouse or reporting layers.
  • Hands-on experience with enterprise BI platforms such as Qlik, Power BI, or Domo, experience with Tableau or similar tools is also relevant.
  • Experience supporting reporting or analytics in retail, e-commerce, or a multi-channel operating environment is preferred.
  • Proven ability to work directly with business stakeholders to gather requirements and align on metric definitions.
  • Strong documentation skills, with the ability to create clear artifacts that business and technical teams can rely on.
  • Excellent attention to detail and a strong commitment to data accuracy, completeness, and quality.
  • Ability to support user enablement through training, walkthroughs, and clear communication.

Why members of our Corporate team love working at Sleep Country Canada/Dormez-vous?:
  • This is not a job but a CAREER with opportunities for growth and advancement
  • Diverse and inclusive work environment
  • We will invest in you and provide extensive training, mentoring and continuous development
  • Access to training and development platforms
  • Full medical, dental benefits and a Deferred Profit Sharing Program
  • Annual Wellness Credit of up to $250.00 for any products/services that improve your health and well-being, i.e., health assessments, nutrition counselling, hiking shoes, a yoga outfit or fitness equipment!
  • Associate Discount Program where you will be able to enjoy some of the world's best sleep products
  • Maternity/Parental leave top up benefits
  • Tuition Reimbursement Program that covers professional AND personal development
  • Long service awards, celebrations and other social events
  • Associate Referral Program
  • Paid day off to volunteer at your local charity of choice

Additional Information

This is a current open position. The salary range for this position is $75,000.00 - $95,000.00 annually. Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labor market.

Our recruitment process incorporates various screening technologies, which may include AI, to screen for employability or suitability. Human recruiters review all applications.

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