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    Analytics Manager - Mumbai, India - Marsh McLennan

    Marsh McLennan
    Marsh McLennan Mumbai, India

    5 days ago

    Default job background
    Description

    What can you expect?

    • Joining a rapidly growing organization with an environment that fosters personal and professional development
    • Opportunity to learn new tools and technology. Participate in building a solid data driven foundation for the organization.
    • Work on breakthrough data and analytics products and projects that will create significant value for our clients
    • Opportunity to make a difference to the world by being a part of the health and benefits industry. A chance to work with Industry leaders, global clients and access to latest trends in the industry.

    We will count on you to:

    To bring in your experience to build a robust data quality management framework so to improve data quality to meet defined standards and drive business outcomes. This role will report to the MMB Analytics Data Governance Leader.

    Roles and Responsibilities will include –

    • Perform hands-on stewardship tasks to execute data domain specific governance policies, standards and procedures so as to ensure data readiness for downstream analytics
    • Understand the data landscape, data flows and respective regulatory requirements throughout the organization, working with regions to overcome bottlenecks
    • Help in establishing data quality requirements, policies and standards. Validate & monitor the level of data quality. Contribute to development of business rules that govern their respective data domains (i.e. ETL rules)
    • Responsible for establishing data quality metrics, data quality audits. Support with issue identification, RCA and issue remediation.
    • Responsible for maintenance of MMB data & its metadata. Bring clarity in understanding as to what data means, who owns it, where it is stored, what its quality etc.
    • Drive MMB data lifecycle through data stewardship and ownership with alignment from regional and global stakeholders
    • Create measures and metrics to show progress of solving issues through stewardship activities and execution of stewardship programs
    • Providing recommendations and guidelines for periodic data quality checks and drive governance to ensure long-term data trust and delivery of meaningful analytics
    • Assist with data classification, data retention & disposal policies. Define & translate data security requirements into data policies & rules to meet data privacy requirements.
    • Align with data engineering, data analytics, data science, and analytics operations work to ensure consistency across work streams.
    • Develop relationships with various markets (APAC, UK & Europe, Latin America, Middle East & Canada) to drive data stewardship programs.
    • Support stakeholders in improving data literacy and advocate data governance & data management adoption

    What you need to have:

    • 8+ years of hands-on experience in data stewardship activities and validating data as 'fit for purpose'
    • Masters/bachelor's degree in information sciences/ engineering, or equivalent
    • Strong experience in any enterprise data quality and cataloging tool (Informatica, TIBCO, Collibra, Alation, etc.) preferred
    • Strong understanding of data platforms, data profiling, data engineering, data integration, data reporting/analytics, data management tools (i.e. MDM, RDM, DQM, Metadata)
    • Familiarity with languages such as Python, R, SAS , SQL etc and cloud based tools & capabilities.
    • Experience working with Data Owners, Data Custodians in documenting business & technical metadata.
    • Excellent written & verbal communication skills with demonstrated experience of working with international stakeholders

    What makes you stand out:

    • Strong technical skills on Data Quality Management tools
    • Experience of Healthcare/ Insurance industry
    • Experience of building relationships with senior stakeholders across the globe
    • Demonstrated experience of executing data governance processes & improving data quality for analytics through use of right technology
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