Data Scientist
$50 - $65 per hourRussell Tobin
Job ID: 26-19277
Job Title: Data Analytical Specialist / Scientist
Location: Toronto, ON (Onsite)
Duration: 8+ Months (with possible extension)
Pay Rate: CAD $50-$65 per hour
Must have:
- Strong data analysis and problem-solving skills
- Advanced proficiency in SQL for data extraction, transformation, and analysis
- Expertise in Power BI dashboard and report development
- Ability to design and develop interactive Power BI dashboards, scorecards, and KPI reports
- Strong knowledge of DAX and Power Query for advanced analytics and data transformation
- Experience with data modelling (fact and dimension tables, star schema)
- Data cleansing, validation, and quality management
- Experience with ETL processes and data integration from multiple sources
- Ability to gather business requirements and translate them into reporting solutions
- Strong data visualization and storytelling skills
- Experience creating executive, operational, and analytical reports
- Knowledge of Power BI Service , report publishing, workspace management, and security
- Understanding of Row-Level Security (RLS) and data governance practices
- Experience working with large datasets and data warehouses
- Familiarity with cloud analytics platforms and modern data ecosystems
- Ability to identify trends, patterns, risks, and opportunities through data analysis
- Strong stakeholder communication and presentation skills
- Experience documenting data definitions, KPIs, and reporting processes
Core Technical Skills
- DAX
- Power Query (M)
- SQL
- ETL & Data Integration
- KPI & Performance Reporting
- Data Quality Management
- Power BI Service & RLS
Nice to have:
Prior OPS or Public sector Exp.
Experience and Skill Set Requirements
Responsibilities:
- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
- Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future‑state requirements and identify further opportunities for improvement
- Facilitate decision‑making and manage client expectations
- Own the execution of analytics initiatives including end‑to‑end reporting and data set delivery
- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
- Participate in documentation, development, testing, and end‑user training
- Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
- Assist the Lead Developers with ETL and/or SSIS development where necessary
- Design methods to capture, structure, transform, and process data to be used to generate models
- Build data models that provide information, which is accurate, easy to understand and unbiased
- Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making
Vacancy posted 1 day ago
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