RQ10972 - Int. Data Analytical Specialist/Scientist

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 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 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