The Position: Support the Data Operations team by developing reporting solutions, validating data quality, documenting business definitions, and maintaining governed data products. The Data Analyst acts as a bridge between business stakeholders and the DataOps team to ensure trusted, consistent, and actionable reporting. Responsibilities

Reporting & Analytics

Build and maintain Power BI reports, dashboards and scorecards for management and executives Perform variance analysis between actuals, forecasts, budgets, and targets Develop and maintain KPIs, measures, and visualizations aligned to business requirements. Data Quality & Validation

Investigate reporting discrepancies and reconcile metrics across systems. Support resolution of data quality issues by identifying root causes and documenting findings. Validate reporting accuracy following deployments, system changes, or business logic updates. Business Engagement & Requirements

Translate business questions into reporting and analytics solutions. Partner with business teams to understand operational processes, KPIs, and reporting needs. Governance & Documentation

Maintain KPI definitions, business glossaries, and reporting documentation. Assist in semantic model and report certification activities. Ensure reporting assets align with established governance standards and business definitions. Data Product & Semantic Model Support

Support development and maintenance of reusable semantic models and views. Support users in discovering and effectively utilizing certified reports and datasets. Continuous Improvement

Recommend improvements to reporting, data quality, and analytics processes. Contribute to ongoing DataOps initiatives that improve efficiency, governance, and data accessibility. Experience

1-3 years of experience in Data Analytics, Business Intelligence, Revenue Operations, Sales Operations, or a related field.



Experience developing reports, dashboards, and data visualizations for business stakeholders. Experience working with multiple business systems and datasets. Solid analytical and problem-solving skills with attention to detail. Ability to translate business requirements into reporting and analytics solutions. Requirements

Advanced Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, formulas, data analysis). Power BI report development and dashboard design. Ability to trace data lineage from source systems through transformations to reporting outputs. Basic to intermediate DAX development. Basic SQL querying and data validation. Experience gathering, documenting, and validating business requirements. Strong documentation and communication skills. Ability to communicate technical findings to non-technical stakeholders. Preferred Qualifications

Technical Skills

Microsoft Fabric experience (Lakehouse, Warehouse, Semantic Models, Dataflows Gen2). Experience with HubSpot CRM. Experience with NetSuite ERP and revenue-related datasets. Azure DevOps or similar work management platform. PySpark, Python, or notebook development experience. Experience working with APIs and data integrations. Advanced DAX development and performance optimization. Experience supporting or developing semantic models. Revenue Analytics & Business Performance

Experience supporting revenue operations, sales operations, or marketing analytics functions. Understanding of recurring revenue business models. Governance & DataOps

Experience maintaining data dictionaries, metric glossaries, or metadata repositories. Experience supporting certification, quality assurance, or report validation processes. Understanding of modern analytics architectures, including data warehousing, lakehouse, and medallion architecture concepts. Working knowledge of dimensional modeling concepts including fact tables, dimensions, star schemas, and snowflake schemas.

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📌 DevOps - Data Analyst (Winnipeg)
🏢 F12.net
📍 Winnipeg