Data Analyst - Toronto, Canada - Manulife

Manulife

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

_We are a __leading financial services provider committed to making decisions easier and lives better for our customers and _
_colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. __To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today. _**
Working Arrangement
Hybrid

The Opportunity
If you are seeking an exciting opportunity to grow your career in data in a great organization, and are passionate about data, we just might have the right role for you on our team

As a key member of the Data Enablement and Governance (DEG) team in the Group Functions Data Office (GFDO), this role is responsible for working with a team of analysts and engineers, engaging, and mobilizing Segment as well as Global partners to ensure that data governance practices are embedded into key processes.

Responsibilities
Strategic data governance

Support in the development and rollout of governance policies, practices and standards
Work with Segment Architects in the integration and enterprisewide use of Data Governance tools
Engage partners across the segment to ensure data governance principles are applied across their use cases, and to drive adoption of standards, including (but not limited to) gathering and managing metadata, identifying CDEs and associated data domains, and personas
Work with Data Owners, Custodians and Stewards to ensure they understand their roles and responsibilities, providing advisory guidance and support to ensure Data Governance accountabilities are understood
Promote a datadriven culture through data literacy programs and communication Support POCs to enable new and/or improved capabilities within the segment data quality, access policies etc.

Data cataloging and inventorying

Drive the inventorying of raw and curated data sources and data elements across Group Functions Segment, solve technical issues and surfacing any change management requirements to streamline the process
Ensure improved user experience on the data catalog to drive adoption across the segment, through technologybased solutions and userfriendly documentation to support selfserve Incentivize and empower technology teams and GFDO squads to selfserve, by training them and consistent tracking progress
Work alongside key stakeholders to identify critical data elements, and gather metadata, business glossary terms, tags
Design and build methods to track and monitor progress and impact across the segment
Enable view of lineage in Purview through the scan of Azure pipelines

Automations

Design and build APIs to support bulk imports, updates, validations, notifications, and governance of data assets across the ecosystem
Improve existing structures to enable selfserve options for business users Leverage analytics on data from Azure
Monitor and/ or other SIEM platforms to drive usagebased intelligence and decisions around governance

Access governance

Contribute to the classification of datasets in alignment with internal standards and policies
Support in implementing access policies across the data ecosystem
Maintain and streamline internal tools used to manage and monitor data shares and accesses

Measurement and reporting

Support in the design and measurement of meaningful KPIs to showcase the progress made as well as the value delivered to the organization.

What motivates you?

You obsess about customers, listen, engage and act for their benefit.
You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
You thrive in teams and enjoy getting things done together.
You take ownership and build solutions, focusing on what matters.
You do what is right, work with integrity and speak up.
You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

At least 35 years of relevant work experience in a datarelated role
Strong data governance background with indepth knowledge of metadata management, access management and data protection, data quality, data discovery
Good knowledge of and experience with Azure tech stack including Azure Data Lake Gen2, Azure Synapse, Azure Data Factory and Azure Databricks; understanding of Azure ML is a plus
Solid grasp of DevOps practices, proficiency with Docker and Jenkins
Experience writing complex queries for a variety of database technologies (SQL, Oracle)
Experience redefining / curating data and building reports with the data
Experience performing root cause analysis on internal and external data and processes to solve and solution for issues

What can we offer you?