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Junior Data Analytical Specialist
7 days ago
Junior Data Analytical Specialist
Responsibilities:
- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and derive actionable insights
- Collaborate closely with client groups to evaluate current data analytics and reporting capabilities, gather future-state requirements, and identify improvement opportunities
- Facilitate decision-making processes and manage client expectations
- Oversee the execution of analytics initiatives from end to end, including reporting and data set delivery
- Develop robust statistical models and machine learning algorithms to represent different business scenarios and draw valid inferences
- Participate in documentation, development, testing, and end-user training
- Collaborate with domain experts, Data Architects ETL Developers, and stakeholders to comprehend complex business challenges and devise suitable Business Intelligence solutions
- Create methods to capture, structure, transform, and process data for modeling purposes
- Construct data models that offer accurate, understandable, and unbiased information
- Clarify complex quantitative analysis in a concise manner, including providing meaningful visuals and summaries
- Offer interpretation, advice, and expertise to client groups and stakeholders on how to leverage analytics for actionable insights and informed decision-making
- Solid understanding of MS analytical tools, particularly Excel, and data validation on Excel forms
- Experience in data cleaning, transformation, and data merging
- Familiarity with SQL databases
Evaluation Criteria:
Tools and Techniques - 55%
- Proficiency in MS analytical tools, especially Excel, and data validation on Excel forms
- Experience with SQL databases
- Expertise in data cleaning, transformation, and integration
- Experience in establishing and implementing data standards
- Knowledge of dimensional data models
- Statistical modeling using R, and familiarity with integrating R with Microsoft Power BI is advantageous
- Capability in creating visualizations using various tools like R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos is an added advantage
Power BI and Analytics Experience - 20%
- Hands-on experience in developing business intelligence and diverse analytics resources
- Proficiency in cleaning, transforming, integrating, and visualizing datasets
- Understanding of data modeling concepts
- Aptitude in creating interactive visuals
Communication Skills - 30%
- Proficiency in drafting documentation on data standardization and requirements
- Demonstrated consulting and relationship management skills, including eliciting requirements, developing solutions, and offering effective guidance
- Strong verbal and written communication skills for technical and non-technical audiences
- Proven teamwork skills with a history of meeting deadlines
OPS Experience - 5%
- Prior public sector experience in an organization similar in size and complexity to the Ontario Public Service
Additional Note:
- Hybrid Role requiring 3 days per week in the office
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