RQ10972 - Int. Data Analytical Specialist/Scientist
10 month contract (210 business days) - possible extension
ONSITE 5 days - Toronto
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 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
Nice to have:
- Prior OPS or Public sector Exp.
Description:
Develop BI solutions using Microsoft Power BI for varying business needs following all applicable GO-ITS standards and industry best practices while adhering to the existing technological solution framework. The successful candidate will work with various technology teams to translate business needs and work through the analysis and lead the development phases.
Deliverable:
EYIA IT Solution development EYIA Allocation:100%
The above resources will also support CSC release and infrastructure solutions support project activities urgent priorities changing needs or time-sensitive infrastructure upgrades or other project activities supporting any CSC platforms overseen by the Cluster where annual work is required.
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 clients 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
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)
$59.12/hr - $63.35/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
$47.29/hr - $50.68/hr T4
RQ10972 - Int. Data Analytical Specialist/Scientist 10 month contract (210 business days) - possible extension ONSITE 5 days - Toronto Must Have: Strong data analysis and problem-solving skillsAdvanced proficiency in SQL for data extraction transformation and analysisExpertise in Power BI dashboard ...
RQ10972 - Int. Data Analytical Specialist/Scientist
10 month contract (210 business days) - possible extension
ONSITE 5 days - Toronto
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 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
Nice to have:
- Prior OPS or Public sector Exp.
Description:
Develop BI solutions using Microsoft Power BI for varying business needs following all applicable GO-ITS standards and industry best practices while adhering to the existing technological solution framework. The successful candidate will work with various technology teams to translate business needs and work through the analysis and lead the development phases.
Deliverable:
EYIA IT Solution development EYIA Allocation:100%
The above resources will also support CSC release and infrastructure solutions support project activities urgent priorities changing needs or time-sensitive infrastructure upgrades or other project activities supporting any CSC platforms overseen by the Cluster where annual work is required.
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 clients 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
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)