Manulife
Financial Services
AssociateDataAnalyst
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“Associate Data Analyst at Manulife. Skills: Data analysis, SQL, Microsoft Power Platform. Support the Enterprise Data Lake (EDL) daily production activities to ensure data is available, reliable, consistent, accessible, secure, and timely. Support on-going EDL process improvements”
What You'll Achieve.
Delivering key critical initiatives; Establishing the data quality program for Manulife GWAM; Implement the data strategy
Industry & Context.
Highly analytical; Consulting and problem-solving tenacity to identify the root cause of problems
What They're Looking For.
Must Have
1-5 years of relevant experience, SQL (data analysis): 1 year’s hands-on experience, Microsoft Power Platform (Power BI, Power Automate, Power Apps): 1–2 years, Asset management systems/platforms (e. g. , OMS/trading, portfolio accounting, client reporting, performance analytics, MDM): 2–5 years, Large, firm‑wide process management: 2–3 years
Nice to Have
Familiarity with Microsoft Power Platform tools is considered an asset
What You'll Do.
Support the Enterprise Data Lake (EDL) daily production activities to ensure data is available
Support on-going EDL process improvements
Enhancements to GWAM operational capabilities
GWAM data quality monitoring and controls
GWAM meta data management tools such as the business glossary and data lineage
Support EDL design and development for GWAM strategic initiatives
How You'll Work.
Team & Collaboration
Collaborating with the Director, Data Design and GWAM Enterprise Data Lake (EDL) Business Support team; Work with Global Wealth Asset Management Operational Business & Technical Support teams, GWAM Business Teams and the GWAM Chief Data Office; Partner with the GWAM Chief Data Office Data Governance and Data Analytics; Working with different GWAM teams
Communication Scope
Effective communication skills; Translating between business and technology worlds; Confident when dealing with investment professionals, senior management and other partners
Process & Methodology
Management of large, firm-wide processes
Full Job Description
Collaborating with the Director, Data Design and GWAM Enterprise Data Lake (EDL) Business Support team, the **Associate Data Analyst** , will be a key member of a team of data professionals responsible for delivering key critical initiatives and establishing the data quality program for Manulife GWAM. You will couple your data analysis experience with a solid understanding of the Investment Segment’s business and operations to implement the data strategy. **Position Responsibilities:** * You will work with Global Wealth Asset Management Operational Business & Technical Support teams, GWAM Business Teams and the GWAM Chief Data Office to support the Enterprise Data Lake (EDL) daily production activities to ensure data is available, reliable, consistent, accessible, secure, and timely through daily data issue identification, analysis and action planning. * You will partner with the GWAM Chief Data Office Data Governance and Data Analytics, support on-going EDL process improvements, including enhancements to GWAM operational capabilities, GWAM data quality monitoring and controls and GWAM meta data management tools such as the business glossary and data lineage. * Working with different GWAM teams to support EDL design and development for GWAM strategic initiatives. **What we are looking for** * Highly analytical with strong consulting and problem-solving abilities; tenacity to identify the root cause of problems and apply innovative approaches to solve business data problems * Strong service orientation * Take personal accountability for issue analysis and resolution * Asset management or financial services industry experience * Previous experience in the management of large, firm-wide processes * Effective communication skills * Constructive challenge and influencing skills * Experience in translating between business and technology worlds * Champion of change and effectively managing the implementation of new ideas / improvements * Confident when dealing with invest
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