Data Analytics Specialist

Symbiotic DigitalUnorganized North Algoma, ON
Onsite

About The Position

Develop Business Intelligence (BI) and analytics solutions using Microsoft Power BI to support a variety of business needs. Work collaboratively with cross-functional teams to translate business requirements into analytical solutions, following industry best practices and established technology frameworks. Lead analysis and development phases while enabling data-driven decision-making through actionable insights.

Requirements

  • Strong experience with data analysis, modeling, and statistical techniques
  • Advanced SQL for querying and managing large datasets
  • Expertise in Power BI, including dashboard and report development
  • Proficiency with DAX and Power Query (M)
  • Experience with ETL processes and tools such as SSIS
  • Strong background in data modeling (fact/dimension, star schema)
  • Experience with Microsoft data stack (Azure Data Factory, SSAS, SSRS, SQL Server)
  • Programming/scripting experience (Python, R, or similar)
  • Experience with machine learning and advanced analytics methods
  • Knowledge of data governance, including Row-Level Security (RLS)
  • Experience developing dashboards and visualizations (Power BI Service and/or On-Prem)
  • Strong skills in data cleansing, transformation, and visualization
  • Experience working with large-scale data warehouses and datasets
  • Knowledge of dimensional modeling and cube development
  • Understanding of emerging BI trends and tools
  • Strong communication skills (technical and non-technical audiences)
  • Excellent problem-solving and analytical thinking
  • Strong relationship management and consulting skills
  • Ability to work independently and collaboratively in team environments
  • Proven leadership and stakeholder engagement skills

Nice To Haves

  • Experience in public sector environments is considered an asset
  • Familiarity with government IT standards and compliance practices is an advantage

Responsibilities

  • Lead development and delivery of analytics solutions to support evidence-based decision-making
  • Collaborate with stakeholders to assess current analytics capabilities and define future state requirements
  • Manage client expectations and support decision-making processes
  • Execute analytics initiatives end-to-end, including reporting and dataset delivery
  • Develop statistical models and machine learning algorithms to analyze business scenarios
  • Participate in documentation, development, testing, and user training
  • Work with data architects, ETL developers, and stakeholders to solve complex business problems
  • Support ETL and SSIS development when required
  • Design data collection, transformation, and processing methods
  • Build accurate, understandable, and unbiased data models
  • Communicate complex data insights using clear visualizations and summaries
  • Provide expert guidance to stakeholders on transforming analytics into actionable insights
  • Maintain proper documentation for all deliverables and ensure they are stored in designated repositories
  • Provide knowledge transfer sessions and walkthroughs prior to project completion
  • Ensure all project artifacts (design, testing, training materials) are documented and accessible
  • Conduct structured knowledge transfer sessions with internal teams
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