Data Analyst - DA 26-05709

Job Description Job Description Job Title: Data Analyst Location: Edmonton, Alberta (Hybrid) Duration: 9 Months (Contract) Job Overview: We are seeking a Data Analyst to support model design and development by validating and testing data models, canonical definitions, and unified business object designs. The role involves working closely with technical teams and business stakeholders to ensure data structures accurately reflect operational and regulatory requirements. Key Responsibilities: A.

Model Validation Test canonical data elements against real datasets Validate business object models using historical data, reporting templates, and program-specific datasets Identify and highlight edge cases during design and development phases B. Semantic Analysis Analyze data for measurement comparability, unit normalization, and consistency Evaluate data types and temporal alignment (e.g., sample dates vs reporting dates) Identify where standardization is appropriate and where it may impact data meaning Provide recommendations to support data architecture decisions C. Analytical Prototyping Build exploratory analytical views to test aggregation, trends, and scalability Validate whether data models support cross-program analysis and large datasets Assess performance and usability of data structures Work Schedule: Monday to Friday 8:15 AM to 4:30 PM (1-hour lunch) Primarily remote with occasional in-office meetings (approximately once per month) Work must be performed within Alberta Equipment Requirements: Candidate must provide their own computer and office setup System must support Azure Virtual Desktop (Windows preferred) Secure access tools will be provided Mandatory Requirements: Degree or diploma in Business, IT, or related field, or CBAP certification Minimum 3 years of experience in: Business requirement analysis related to data analytics Data manipulation, transformation, and cleansing Designing and developing Power BI solutions Experience working with complex and regulated datasets Nice to Have: Experience leading initiatives, facilitating workshops, and working with senior stakeholders Experience collaborating with leadership and architecture review boards Experience with data governance frameworks and gap analysis Strong requirement gathering skills using various techniques (interviews, workshops, process modeling, etc.) For more details reach at [email protected].