• Design, develop, and maintain financial/operational reporting frameworks, KPI scorecards, and interactive dashboards (Power BI/Tableau) • Own the end-to-end delivery of recurring and ad-hoc reports • Analyze data across ERP systems and finance platforms to identify trends, risks, and performance drivers • Drive the adoption of self-service BI tools • Identify and execute opportunities to automate reporting and eliminate manual tasks • Partner with regional finance and Shared Service Centers to align reporting with business objectives.

• Serve Customer Ops teams across regions from a data analysis perspective • Create and maintain data visibility of Customer Ops processes and KPIs • Design Power BI dashboards for global processes • Analyze data to support decision making

Role Description The Data & Reporting Analyst will support business decision-making by developing reliable reports, dashboards, analytical models, and data solutions. The role will work across finance, operations, sales, and other business functions to translate requirements into practical insights and process improvements. The ideal candidate will combine strong analytical thinking with technical capability in Power BI and Python. This opportunity is well suited to someone with 2–5 years of experience who is excited to grow alongside a rapidly evolving Data Management & Enablement team. - Develop and maintain Power BI dashboards, reports, KPIs, semantic models, and analytical solutions that support business decision-making. - Use Python for data analysis, automation, data processing, validation, and integration-related activities. - Extract, clean, transform, validate, and analyze data from multiple business systems. - Gather and document business requirements and translate them into clear, scalable reporting and data solutions. - Analyze data from ERP, CRM, financial, operational, and other enterprise systems to identify trends, risks, and opportunities. - Improve data quality, reporting consistency, documentation, and governance across business functions. - Partner with business and technical teams to support data projects, process improvements, and new analytics initiatives. Qualifications - University bachelor’s degree in finance, Accounting, Economics, Business Intelligence, Data Analytics, Computer Science, or a related field. - 2-5 years of progressive experience in business intelligence, data analytics, financial analysis, or a related role, preferably in industrial supplies, MRO distribution, or post-merger environments. - Experience with Power BI is required. - Experience with Python for data analysis, automation, or data processing is required. - Experience with analytics and reporting platforms such as Microsoft Dynamics, Tableau, Smartsheet, or similar tools is considered an asset. - Experience using Visual Studio Code, Postman, GitHub, APIs, and version-control practices is considered an asset. - Knowledge of machine learning, generative AI, prompt engineering, or LangChain is considered an asset. - Experience with Azure, Snowflake, or other enterprise data management platforms is considered an asset. Requirements - In accordance with the provincial wage transparency requirements, the expected base compensation for this position is $65,000-$75,000 depending on relevant experience, technical competencies, certifications, etc. Benefits - Medical, Dental, Vision, STD/LTD/AD&D, Life Insurance, RRSP Matching, Pro-rated Vacation Entitlement, Paid Statutory Holidays, Employee Assistance, etc. - Competitive compensation that recognizes your worth. - A flexible health, drug, and dental plan tailored to your well-being. - An employer-matching retirement savings plan for your financial security. - Additional life and disability insurance options for peace of mind. - Confidential access to an Employee Family Assistance Program (EAP) that supports your holistic welfare. - An enriched vacation entitlement schedule for a balanced life. - Participate in our physical fitness reimbursement program, championing your vitality.

• Help clients maximize value from their marketing data. • Own client delivery end-to-end for assigned accounts — from data modeling through final reporting. • Design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. • Manage data transformations in dbt and work with complex, multi-source data architectures. • Utilize AI tools to accelerate workflows. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.