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Data Analyst (DataLab)

  • * Anywhere On Side has a branch
  • IT / Technical

📍 Location: Anywhere On Side has a branch
🕒 Employment Type: Full-Time / Permanent
📅 Posting Date: November 12, 2026

Position Summary

Are you passionate about transforming raw data into meaningful insights that drive business decisions? Do you have a keen eye for detail and a knack for uncovering trends and patterns within complex datasets? If so, we invite you to bring your analytical expertise to our dynamic team. As a Data Analyst at On Side Restoration, you’ll play a pivotal role in extracting, analyzing, and interpreting data to provide actionable recommendations that fuel our strategic initiatives. Join us in the fast-paced world of data-driven decision-making, where your skills will make a direct impact on our company’s success. If you’re ready to turn numbers into narratives and help shape the future of our organization, we want to hear from you!

(This posting reflects an existing vacancy)

 

Compensation

  • Salary Range: $80,000-$92,000 /year
  • Salary based on skills, qualifications and experience
  • Annual Performance Incentive Bonus – Percentage of base salary subject to personal and company performance.

 

What You’ll Do

  • Data Collection & Analysis: Gather, cleanse, organize, and analyze large and complex datasets from multiple sources (ERP, CRM, claims systems, operational databases) to identify trends, patterns, and actionable insights.
  • Business & Operational Insights: Analyze business, operational, and financial data to identify trends, risks, and opportunities.
  • KPI Development & Monitoring: Establish, track, and report on KPIs including regional penetration rates, claims performance, and operational benchmarks to measure business effectiveness
  • Dashboard & Visualization: Design, build, and maintain interactive Power BI dashboards, reports, scorecards, and data visualizations to provide real-time financial and operational insights to stakeholders across all regions (Atlantic, Ontario, Quebec, West)
  • Data Models & Architecture: Build and maintain data models to support reporting, forecasting, and business decision-making.
  • Ad Hoc Analysis: Deliver rapid-turnaround, ad hoc analyses and summary documents to support leadership with time-sensitive business questions and strategic projects.
  • Process Improvement & Automation: Identify opportunities to simplify, automate, and standardize recurring reporting, forecasting, and data workflows to improve accuracy, efficiency, and timeliness across the Data Lab’s portfolio.
  • Data Integrity & Governance: Ensure the accuracy, consistency, and integrity of operational data across systems, semantic models, and reports.
  • Tool & Platform Support: Contribute to the deployment, maintenance, and troubleshooting of enterprise reporting tools and platforms, including Power BI workspaces and semantic models.
  • Technology Advancement: Stay current with emerging analytics, AI, machine learning, and data visualization technologies to continuously enhance business value.
  • Utilize Python, SQL, and other analytical tools for data extraction, transformation, automation, and advanced analytics. Develop predictive and statistical models to identify trends, forecast outcomes, and support business planning initiatives.

 

What You Bring

  • 4-7 years of experience in data analytics
  • High proficiency with pivot tables, VLOOKUP/XLOOKUP, Power Query, complex formulas, and macros.
  • Proven proficiency in report development, semantic models, DAX, and workspace management.
  • Utilize Python, SQL, and other analytical tools for data extraction, transformation, automation, and advanced analytics.
  • Working knowledge of SQL for data extraction and manipulation.
  • Experience developing predictive models, time series analysis, and statistical models to identify trends, forecast outcomes, and support business planning initiatives.
  • Familiarity with AI, machine learning, and data visualization.
  • Develop, maintain, and enhance financial models (revenue, cost, profitability, scenario/sensitivity analyses) to support strategic initiatives and investment decisions using Python or any programming language in the model.
  • Strong problem-solving skills, a systematic and logical approach, and excellent attention to detail.
  • Combination of advanced technical and sound presentation skills to present insights, recommendations, and findings effectively to both technical and non-technical cross-functional audiences.

 

Of Note:

  • We’re proud to support a flexible hybrid approach which gives everyone the best of both worlds. While there are no minimum or maximum time requirements, each team’s need for in-person connections will be different and there will be times you’ll join your colleagues at the office.

 

Why You’ll Love Working Here

A workplace that values respect, integrity, generosity, excellence, and being customer-driven. We offer opportunities to grow your career and learn from the best in the industry within a culture that celebrates teamwork, inclusion, and customer-driven service.

On Side Restoration welcomes and encourages applications from people with disabilities. Accommodations are available on request throughout all stages of the recruitment and selection process.

At On Side, everything starts with people. Join a team that helps families, businesses, and communities rebuild when it matters most. You’ll contribute to a workplace where people come together to bring order to chaos. Make a real impact, do work that matters, and grow your career with us.

Your application is always reviewed by real people. We don’t use artificial intelligence to screen, assess, or select applicants for this role.

Applications

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