RQ02306 - Data Analytical Specialist/Scientist - Intermediate
Client: Ministry of Education
Period: 9 Months
Start Date: 2022-07-01
End Date: 2023-03-31
Location: Toronto
Working Hrs.: 7.25 Hrs. / day
Assignment Type: Hybrid
Must haves:
- Experience with a range of analytical methods, techniques, and tools such as statistical analysis and modelling, data mining, predictive analytics, machine learning, algorithms, natural language processing, and related disciplines.
- Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, PowerViewer, Cognos.
- Experience with SQL and using queries to extract relevant data.
- Experience with cleaning, transforming, integrating, and visualizing data sets.
Experience and Skill Set Requirements
- Price: 30%
- Tools and techniques: 30%
- Experience with analytical methods, techniques, and tools as listed above.
- Experience working in an agile/iterative project environment.
- Total BI and Analytics Experience: 25%
- Developing business intelligence and analytics resources.
- Understanding data models and working with dimensionalized data/building cubes.
- Knowledge of emerging Business Intelligence trends.
- Experience with cleaning, transforming, integrating, and visualizing data sets.
- Experience with SQL queries to extract relevant data.
- Knowledge in psychometry/psychometrics is a plus.
- Communication Skills: 10%
- Consulting and relationship management skills, ability to elicit requirements, develop solutions, and guide effectively.
- Strong verbal and written communication skills for technical and non-technical audiences.
- Excellent analytical, problem-solving, and decision-making skills.
- Leadership and collaboration abilities.
- Proven team player with meeting deadlines.
- OPS Experience: 5%
- Previous public sector experience in an organization of similar size and complexity to the Ontario Public Service.