Permanent Position – HybridFasken is seeking a Manager, Data Analytics to act as a senior analytics leader and business partner within the Data Analytics & Engineering department. This role sits at the intersection of business strategy, analytics, and data governance.ResponsibilitiesBusiness Partnership & Stakeholder LeadershipAct as the primary point of contact for business stakeholders on data, reporting, and analytical insightsLead meetings and conversations with business partners to:Explain analytical findingsTranslate data into clear, actionable insightsRecommend KPIs aligned with firm and practice group objectivesProactively identify opportunities and push insights to stakeholdersBuild solid, trusted relationships across the firm and operate as a strategic advisorAnalytics, Reporting & Insights DeliveryDesign, build, and maintain executive and operational dashboards, standard and ad‑hoc reports, alerts and performance monitoring solutionsPrepare and present quarterly and ad‑hoc reports to senior leadership and firm committeesEnsure analytics solutions are well‑documented, scalable, and aligned with firm standardsSupport and guide analysts on best practices in analytics and storytellingLead special projectsSupport periodic activities (Year end, Budgets, etc.)Technical & Data ExpertiseDemonstrate strong hands‑on experience with Power BI, Power BI Report Builder (Tableau experience also acceptable)Use SQL and/or Python/Data frames to:Understand and navigate the firm’s data schemasValidate data accuracySupport complex analytical use casesUnderstand and edit transformation notebooksOperate confidently within a data lake or lakehouse environment, navigating across multiple data domains and sourcesLeverage Microsoft Copilot to analyze data, optimize queries and scripts, and build customized data agents to accelerate insight delivery and operational efficiencyWork closely with data engineering to ensure analytics solutions are built on reliable,



well‑modeled dataProven ability to work effectively with a wide variety of data sources, including structured, semi‑structured, and unstructured dataAbility to leverage both internal and external data sources to deliver high‑value, data‑driven insights that support firm decision‑makingData Integrity, Governance & EthicsMaintain a strong sense of data integrity, ensuring insights are accurate, defensible, and properly supported by dataAdhere strictly to governance, confidentiality, and ethical requirements (including ethical walls)Serve as an ambassador for responsible and compliant data usage across the firmEnsure reports and insights meet the firm’s standards for accuracy, clarity, and trustworthinessOversee and lead data governance initiatives, leveraging third‑party tools and external data resources where appropriate to enhance data quality, compliance, and scalabilityLeadership & Special ProjectsLead complex and high‑visibility special projects across the firmCoordinate with data engineering, governance, and technology teams as neededIdentify when additional expertise or capacity is required and call in support appropriatelyInfluence without direct authority, leveraging collaboration and credibilityCommunication & CollaborationPresent confidently to firm leadership and senior stakeholdersCommunicate complex analytical concepts in plain, business‑friendly languageWork effectively with teams distributed across multiple offices and time zonesFoster a culture of collaboration, curiosity, and continuous improvementWhat Success Looks LikeBusiness stakeholders view analytics as a strategic asset,



not just a reporting functionKPIs and insights directly support firm and practice group goalsLeadership trusts analytics outputs due to strong data integrity and governanceAnalytics work is timely, relevant, and consistently delivers valueStrong cross‑team collaboration within a remote‑first environmentRequired Knowledge And ExperienceBachelor’s degree in math, economics, finance, accounting, statistics, engineering, computer science, CPA, MBA, or other quantitative field, or equivalent level of experience5–7+ years of experience in data analytics, business intelligence, data engineering, consulting, or a related fieldRelevant professional certifications are an asset (e.G., Microsoft)Strong expertise in Power BI (Tableau acceptable)Advanced proficiency in SQL and/or Python (e.G., Pandas DataFrame)Experience working with data lake or enterprise‑scale data platforms (Microsoft Azure, Microsoft Fabric, AWS, Snowflake, Google Cloud, etc.)Strong understanding of data integrity, validation, and governance principlesExceptional written and verbal communication skillsFrench is an assetKnowledge of the professional services industry is an assetPay Range$125,000 to $150,000 per annum. Pay range to be commensurate with experience.Background and Reference ChecksAny offer of employment may be conditional upon full background checks including a criminal record check, a credit check, employment and educational verifications.Equal Opportunity EmployerFasken is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants are encouraged to apply regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, disability status, or any other characteristic protected by law. Reasonable accommodations are available on request for candidates with disabilities.#J-18808-Ljbffr

📌 Manager, Data Analytics - $125,000 - $150,000 A Year (Winnipeg)
🏢 Fasken
📍 Winnipeg