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Junior Data Analytical Specialist
3 weeks ago
Junior Data Analytical Specialist
Job 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 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 ETL Developers, and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions.
- Design methods to capture, structure, transform, and process data to be used to generate models.
- Build data models that provide information that 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.
- Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.
- Experience cleaning, transforming, and joining data
- Experience with SQL databases
EVALUATION CRITERIA
Tools and techniques - 55%
- Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.
- Experience with SQL databases
- Experience cleaning, transforming, and joining data
- Experience in creating and applying data standards
- Experience with dimensional data models
- Statistical modeling using R and experience integrating R with Microsoft Power BI an asset
- Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos an asset
Power BI and Analytics Experience - 20%
- Experience developing business intelligence and various analytics resources
- Experience with cleaning, transforming, integrating, and visualizing data sets
- Experience understanding a data model
- Experience creating interactive visuals
Communication Skills - 30%
- Experience in developing documentation on data standardization and requirements
- Demonstrated consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
- Strong verbal and written communication skills; with both technical and non-technical audiences
- A demonstrated team player with a track record of meeting deadlines
OPS Experience - 5%
- Previous public sector experience in an organization of equivalent size and complexity to the Ontario Public Service.
Notes:
- Hybrid Role- 3-days per week in the office required
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