Manulife
DataAnalyst,L&CStrategyandOperations:DataAnalyticsandTechnologyFocus
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst, L&C Strategy and Operations: Data Analytics and Technology Focus at Manulife. Skills: Data Analytics, Business Intelligence, Power BI, SQL, Python, Generative AI. Build analytics, dashboards and data foundations. Enhance analytics, dashboards and data foundations”
What You'll Achieve.
Drive decisions; Unlock efficiencies; Strengthen governance; Accelerate insight generation; Automate repeatable analytics tasks; Enhance dashboard development; Enhance data development; Enhance quality assurance workflows; Support effective decision-making; Ensure dashboard SLAs; Ensure data SLAs; Meet least-privilege requirements; Meet audit requirements; Enhance SQL development efficiency; Enhance Python development efficiency; Enhance Power BI development efficiency; Maintain governance standards; Maintain quality standards
Industry & Context.
Data analytics; Business intelligence; Forecasting; Segmentation; Anomaly detection; Feature engineering; Root cause analysis; Debugging; Data-driven decision making; Troubleshooting
Work outside regular hours
What They're Looking For.
Must Have
4 - 5 years of professional experience in data analytics or business intelligence, 4+ years building advanced Power BI solutions, 4+ years writing SQL, 3+ years working in an Azure data lake environment, Demonstrated experience creating new tables/views, Proven track record automating dashboards, Proven track record managing permissions, Experience administering SharePoint sites, Experience managing SharePoint permissions, Proficiency with Python for analytics, Bachelor’s degree in data/computer science, Engineering, Analytics, or a related field, Familiarity with Generative AI tools and workflows, Demonstrated stakeholder management and engagement skills, Flexibility to work outside of regular work hours
Nice to Have
Experience with Azure analytics services, Experience with Delta/Parquet formats, Experience with lakehouse patterns, Familiarity with data governance and cataloging, Familiarity with data quality validation, Familiarity with lineage documentation, CI/CD practices for BI, Exposure to Power Automate or orchestration tools, Comfort with REST APIs for admin tasks, Experience using GenAI tools to enhance BI development, Experience creating automated documentation, Experience accelerating code and data model generation, Understanding of prompt engineering concepts, Experience designing centralized solutions
What You'll Do.
dashboards and data foundations
dashboards and data foundations
dashboards and data foundations
Turn complex data into Power BI visualizations
Turn complex data into insights
Manage permissions across Power BI
Manage permissions across SharePoint
Apply Python for analytical methods
Apply Python for forecasting methods
Explore emerging Generative AI tools
Explore emerging Agentic AI tools
Apply Generative AI tools
Apply Agentic AI tools
Accelerate insight generation
Automate repeatable analytics tasks
Enhance dashboard development
Enhance data development
Enhance quality assurance workflows
Partner with Stakeholders
Develop user-based solutions
Build advanced Power BI dashboards
Enhance advanced Power BI dashboards
Automate advanced Power BI dashboards
Optimize data models/DAX
Optimize refresh pipelines
Optimize deployment pipelines
Implement row-level security
Maintain row-level security
Implement object-level security
Maintain object-level security
Adapt dashboards based on stakeholder needs
Maintain analytics and technology stream assets
Perform data preprocessing
Perform data transformation
Perform data analysis
Develop insight-driven dashboards
Support decision-making for senior leadership
Design new tables for analytics
Model data sourced from Azure data lake
Transform data sourced from Azure data lake
Validate data sourced from Azure data lake
Develop reliable automations
Establish monitoring for dashboard SLAs
Establish monitoring for data SLAs
Manage permissions and access controls
Meet least-privilege requirements
Meet audit requirements
Use Python for advanced analytics
Package findings into reusable assets
Leverage Generative AI tools
Generate documentation
Support exploratory analytics
Streamline development workflows
Identify opportunities to embed GenAI automation
Embed GenAI automation into data pipelines
Embed GenAI automation into reporting processes
Embed GenAI automation into stakeholder deliverables
Use GenAI-based assistants
Enhance SQL development efficiency
Enhance Python development efficiency
Enhance Power BI development efficiency
Maintain governance standards
Maintain quality standards
Develop requirements gathering
Lead requirements gathering
Develop training sessions
Lead training sessions
Implement relevant solutions
Incorporate change enablement
Incorporate user design principles
How You'll Work.
Team & Collaboration
Partner with Stakeholders; Work with non-technical users; Global hybrid work environment; Global teams; Differing constraints; Differing perspectives
Communication Scope
Stakeholder management; Stakeholder engagement; Translate business needs; Translate business questions; Deliver clear visualizations; Deliver actionable insights; Executive presentations; Technical documentation; Client meetings; Board-level reporting; Investor communications
Process & Methodology
Deployment pipelines, Release management
Full Job Description
Join our LCG Operations & Strategy analytics team to build, enhance and maintain the analytics, dashboards and data foundations teams and leaders use to run the business every day. You’ll turn complex data from our Azure data lake into clear, automated Power BI visualizations and insights that drive decisions, unlock efficiencies, and strengthen governance. In this role, you’ll own end‑to‑end solutions—from designing new tables and SQL logic to managing permissions across Power BI and SharePoint—while applying Python for deeper analytical and forecasting methods. You’ll also explore and apply emerging Generative and Agentic AI tools to accelerate insight generation, automate repeatable analytics tasks, as well as enhance dashboard and data development and quality assurance workflows. You’ll gain broad exposure to senior stakeholders, modern Azure tooling, and best‑in‑class delivery practices in a supportive, global hybrid work environment. **Position Responsibilities:** Partner with Stakeholders to develop intuitive, user-based solutions that resonate with and are embraced by non-technical users. Leveraging strong communication skills and a growth mindset to ensure solutions address both macro and micro perspectives is critical. Specific elements of these solutions include: * Building, enhancing, and automating advanced Power BI dashboards, optimizing data models/DAX, refresh pipelines, and deployment pipelines; implement and maintain row‑/object‑level security. * Adapting dashboards based on stakeholder’s analytics needs and continuous maintenance of the analytics and technology stream assets. * Performing data preprocessing, transformation, and analysis across multiple sources/datasets to develop comprehensive, insight‑driven dashboards that support effective decision‑making for senior leadership. * Designing and creating new tables and views; write performant SQL to model, transform, and validate data sourced from the Azure data lake (e.g., ADLS Gen2) for analyti
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