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S M Software Solutions Inc

Job Title: RQ10972 - Data Analytical Specialist/Scientist - Intermediate

Internship · In Office · Toronto, Ontario (Canada)

Posted Jun 28, 2026

Work Options
Seniority Level
Cloud Stack
Job Type
Position Group

I would like to present to you a new job opportunity and I think you may find it interesting.

If you are interested kindly send the following documents to [email protected] by Thursday, July 2, 10:00 AM EST if that interests you and matches your profile.

  • Updated Resume in word format (Mandatory)
  • References (Mandatory)
  • Expected hourly rate (Mandatory)
  • Visa Status (Mandatory)
  • LinkedIn ID (Mandatory)

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: Toronto, Ontario, Onsite

Estimated Start Date: 2026-06-01

Estimated End Date: 2027-03-31

#Business Days: 210.00

Extension: Probable after the initial mandate

Hours per day or Week: 7.25 hours per day

Security Level: No Clearance Required

Must Haves

Key Requirements for a Data Specialist / Analytics Role

  • 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 modeling (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

  • Power BI Dashboard & Report Development
  • DAX
  • Power Query (M)
  • SQL
  • Data Modeling
  • Data Visualization
  • ETL & Data Integration
  • KPI & Performance Reporting
  • Data Quality Management
  • Power BI Service & RLS

Nice To Have

Prior OPS or Public sector Exp.

RoleOverview

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

General Skills

  • Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
  • Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
  • Adept at communicating to both technical and non-technical audiences
  • Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level
  • Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
  • Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
  • Experience designing high quality interfaces to present information in a meaningful way to end users
  • Broad understanding of data management, financial and business analysis, database architecture, and information visualization
  • Proficiency in query languages and experience constructing complex query statements
  • Experience in one or more programming or scripting languages
  • Strong investigative and logic skills
  • Proficiency in mathematics and statistics
  • Awareness of emerging Business Intelligence trends and directions

Experience And Skill Set Requirements

Tools and techniques - 40%

  • Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines
  • Experience building visualizations in R, R Shiny, Power BI, or other tools
  • Experience with ETL and SSIS development
  • Experience with scripting such as Python, and languages such as DAX to be able to do trend analysis
  • Experience in Microsoft technology stack, including Azure Data Factory, SSIS, SSAS, SSRS, Power BI, and supporting tools like Visual Studio and SQL Server Management Studio.

BI and Analytics Experience - 40%

  • Experience developing BI and analytics
  • Experience with creating dashboards and data visualization via Power BI Server (On-Prem) and Power BI Services (Cloud) or other visualization tools
  • Experience with cleaning, transforming and visualizing data sets
  • Advanced experience with SQL
  • Demonstrated knowledge of emerging Business Intelligence trends and directions
  • Experience with dimensional data/building cubes

Soft Skills - 15%

  • Outstanding 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
  • Excellent analytical, problem-solving and decision-making skills
  • Strong leadership and collaboration skills
  • Proven track record for building strong working relationships
  • A demonstrated team player with a track record for meeting deadlines

Public Sector Experience - 5%

  • Previous public sector experience in an organization of equivalent size or complexity in Public Service
  • Demonstrates experience designing and developing applications that comply with GOITS standards and general processes would be an asset.

Note

5 days onsite

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Job Title: RQ10972 - Data Analytical Specialist/Scientist - Intermediate

S M Software Solutions Inc

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