Security Clearance:CRJMCIncorp Rate:$79.04/hrOverviewThe ministry is seeking a Senior Predictive Analytics Analyst to support advanced analytics, predictive modeling, reporting, and enterprise data initiatives. The successful candidate will leverage statistical and analytical techniques to generate actionable insights, support data-driven decision-making, and enhance business intelligence capabilities across large-scale government environments.This role requires solid hands-on technical expertise with modern analytics tools, data visualization platforms, enterprise data environments, and cloud-based technologies.Must-Have QualificationsHands-on experience with analytics and data tools such as Python, SQL, Databricks, and related technologiesStrong experience with Power BI and SQL-based reporting solutionsExperience working with enterprise data environments and data pipelinesFamiliarity with Azure or comparable cloud platformsExperience implementing and managing Google Analytics tracking codes and Google Tag ManagerStrong analytical, problem-solving, and communication skillsResponsibilitiesDevelop and support predictive and advanced analytics solutions using statistical and machine learning techniquesPerform data analysis using methods such as forecasting, regression analysis, segmentation, classification, and trend analysisBuild dashboards, reports, and visualizations to communicate analytical findings and business insightsWork with large, complex datasets across enterprise environments to support operational and strategic initiativesDesign, maintain, and optimize data pipelines and analytical workflowsCollaborate with technical and business stakeholders to define KPIs, reporting requirements,



and measurement frameworksTranslate complex analytical findings into actionable recommendations for technical and non-technical audiencesSupport implementation and management of Google Analytics tracking and tag management solutionsEnsure data quality, integrity, governance, and compliance with enterprise standardsParticipate in agile delivery teams and contribute to project timelines and deliverablesProvide guidance and mentorship to junior analysts where requiredRequired Skills & Experience1. Predictive Analytics & Modeling – 25%Strong experience with predictive analytics and statistical modeling techniquesExperience with forecasting, segmentation, classification, regression, and trend analysisHands-on expertise using Python, SQL, Databricks, or similar analytics toolsAbility to apply analytical methodologies to solve real-world business problems2. Data Management & Technical Proficiency – 20%Experience working with large-scale enterprise datasetsKnowledge of data pipelines, ETL processes, and enterprise data environmentsFamiliarity with Azure cloud services or similar cloud platformsStrong understanding of data integration, cleansing, and quality assurance practices3.



Insight Generation & Business Impact – 20%Ability to translate analytical findings into meaningful business insightsExperience supporting business decisions through data-driven recommendationsExperience defining KPIs, performance metrics, and measurement frameworksStrong analytical storytelling and reporting capabilitiesExperience building dashboards and reporting solutions using Power BI or equivalent toolsStrong verbal and written communication skillsAbility to present complex concepts clearly to both technical and non-technical stakeholdersExperience tailoring reporting and insights to diverse audiences5. Collaboration & Delivery – 10%Experience working within cross-functional and agile delivery teamsStrong stakeholder engagement and collaboration skillsAbility to manage priorities and work effectively in fast-paced environmentsProven ability to meet project timelines and deliverablesExperience mentoring junior analysts or providing technical guidanceAbility to promote analytics best practices and standardsExperience contributing to team capability development and knowledge sharingPreferred QualificationsExperience with statistical software such as R, SAS, SPSS, Stata, or similar platformsKnowledge of machine learning concepts and model deployment practicesExperience in public sector or enterprise-scale environmentsFamiliarity with Hadoop, MongoDB, or big data ecosystemsExperience with advanced analytics techniques including conjoint analysis, factor analysis, time-series analysis, and survival analysisAI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.#J-18808-Ljbffr

📌 Analytics Analyst - $79.0 An Hour (Winnipeg)
🏢 Crjmc
📍 Winnipeg