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Data Analytics Manager
LinkedIn Recruiter Post
Lead a team delivering high - impact insights across our project portfolio, transforming project data into reports and dashboards.
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Business/Data Analyst
Posted via LinkedIn Recruiter (not a company profile)
Posted 10 hours ago
About the role
- Hiring Business/Data Analyst in Toronto (Hybrid). Must have 5+ years in data migration, SQL, Power BI, and data governance.
Responsibilities
- We’re Hiring: Business/Data Analyst Location: Toronto (Hybrid – 3 Days Onsite) Rate: 64/hr Candidate Requirements/Must Have Skills: – 5+ years as a Data/Business Analyst with proven experience in data migration projects, documenting end-to-end data lineage, and creating source-to-target mappings. – 3-5 years of strong SQL experience (specifically SQL Server) writing and analyzing complex queries and stored procedures to profile data and identify inconsistencies. – 3-5 years of experience with Power BI, with a specific focus on analyzing existing Power BI reports, DAX, queries, and dataflows to extract and document business logic. – Demonstrated experience in Data Quality & Governance, including conducting root-cause analysis for data issues and working with CRM platforms (e.g., Salesforce) for data hygiene. – Familiarity with modern cloud data platforms, ideally Azure Databricks, to facilitate the mapping of legacy data to new cloud-based data products.
Requirements
- 5+ years as a Data/Business Analyst with proven experience in data migration projects, documenting end-to-end data lineage, and creating source-to-target mappings. 3-5 years of strong SQL experience (specifically SQL Server) writing and analyzing complex queries and stored procedures to profile data and identify inconsistencies. 3-5 years of experience with Power BI, with a specific focus on analyzing existing Power BI reports, DAX, queries, and dataflows to extract and document business logic. Demonstrated experience in Data Quality & Governance, including conducting root-cause analysis for data issues and working with CRM platforms (e.g., Salesforce) for data hygiene. Familiarity with modern cloud data platforms, ideally Azure Databricks, to facilitate the mapping of legacy data to new cloud-based data products.
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