Data Quality Analyst

Mercer Marsh BenefitsMercer Marsh Benefits is seeking candidates to support its vision of driving value to clients through data and analytics based insights. The following position is based in Mumbai. Mercer Marsh Benefits Analytics – Senior Principal Engineer / Manager - Data Quality EngineerMercer Marsh Benefits ™ (MMB) is part of the Marsh McLennan family, bringing together a broad spectrum of expertise to help clients navigate the complex world of people risks, cost management and employee benefits. MMB is a global leader in the health and benefits marketplace. Operating in 135 countries, our team of specialists design benefits solutions that meet the needs of businesses and their people, drawing from global intelligence and adapting that wealth of experience to local markets.Mercer Marsh Benefit Analytics is the specialized and technologically advanced data analytics outfit curated to provide data driven insights to our clients in the health and employee benefits space. What can you expect?Joining a rapidly growing organization with an environment that fosters personal and professional developmentOpportunity 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 clientsOpportunity 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.What is in it for you?Discover what's great about working at Marsh and McLennan Companies – from the opportunities that our size brings, to our commitment to our communities and understanding the benefits you’ll receive. We are four businesses with one PURPOSE: building the confidence to thrive through the power of perspectiveAs a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organization. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference. Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right. As a Marsh and McLennan Company colleague, you will also receive additional benefits such as:A competitive salaryEmployee friendly policiesHealth care and insurance for you and your dependentsHealthy Work life balanceA great working environmentFlexible benefits packages to suit your needs and lifestyleFuture career opportunities across a global organizationWe will count on you to:To bring in your experience to help mature data quality offerings and lead data quality initiatives across MMB business. This role will report to the MMB Analytics Data Governance Leader. Roles and Responsibilities will include – Data Quality Management: Support team in implementing & driving end-to-end data quality framework and operating model using relevant DQ tools & capabilities. Help business in driving governance associated with data quality by enforcing policies & standards at both technical & functional level.Understand the data landscape, data flows and respective regulatory requirements throughout the organization, working with regions to overcome bottlenecksImplement strategies to improve data quality for various analytics products & platforms using methods such as:- data profiling, data cleansing, data enrichment & data validationWork with MMB business to understand & build data quality rules to address end-to-end business and data governance requirementsData Quality Monitoring & Issue Remediation:Develop solutions for automated DQ checks & threshold alertsResponsible for establishing data quality metrics, data quality audits. Support with issue identification, RCA and its remediation. Use data profiling techniques to identify DQ issues leveraging data quality dimensions Providing recommendations and guidelines for periodic data quality checks and drive governance to ensure long-term data trust and delivery of meaningful analyticsCreate score cards and reporting process to support data governance councils for monitoring progress and tracking blockers. Track KPIs around DQ dimensionsData Quality Implementation:Support projects with end-to-end DQ rules implementation and development activities.Collaboration:Collaborate with data engineers, data analysts, and data scientists to ensure data quality across all stages of the data lifecycleDevelop relationships with various markets (APAC, UK & Europe, Latin America, Middle East & Canada) stakeholders to drive & enforce data quality initiatives.Work with data stewards (business & technical) to assess and apply the latest developments in data management and standards.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’s its quality etc.Assist with data classification, data retention & disposal policies. Define & translate data security requirements into data policies & rules to meet data privacy requirements.Support stakeholders in improving data literacy and advocate data governance & data quality management adoptionWhat you need to have:8+ years of hands-on experience in data profiling, DQ rules implementation, DQ issue management, Data Quality Management, DQ metrics reporting & automation activities.Proven experience as a Data Quality Team Lead, Data Quality Engineer or similar roleMasters/bachelor’s degree in information sciences/ engineering, or equivalentStrong experience in any enterprise data quality and cataloging tool (Informatica- IDQ (Informatica Data Quality), IDMC- CDI/CDQ, CDQ (Cloud Data Quality), CDI (Cloud Data Integration), IICS, Talend, Databricks, etc.) preferredFamiliarity with AWS, Azure, or GCP and associated DQ capabilities. Understanding of cloud-based data storage and data pipeline architecture.Familiarity with languages such as SQL, Python, R etc. AI/ML: Basic understanding of AI/ML algorithms can help in building predictive models for data quality.Excellent written & verbal communication skills with demonstrated experience of working with international stakeholdersWhat makes you stand out:Strong functional & technical skills on Data Quality ManagementExperience of Healthcare/ Insurance industryExperience of building relationships with stakeholders across the globeDemonstrated experience of executing data governance processes & improving data quality for analytics through use of right tools & capabilities