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Job Location | Gurugram |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Operations Management / Process Analysis |
EmploymentType | Full-time |
About the opportunityDepartment DescriptionThe data value team within the central data function is facilitating the adoption of a data led culture at FIL. Senior business leaders struggle to get access to the right data, MI/insights and analytics for key functional problems. The data value team is a central team made up of different data capabilities such as analytics, MI, data engineering and business analysis and helps different departments define the right MI and Analytics. The Central data function provides significant data and reporting services to different consumers and departments across Fidelity. These services include establishing data governance processes, meta data and data quality management, data architecture, data lake (Snowflake) and API s adoption along with development of new reporting and analytical applications.Purpose of your roleThis is a challenging opportunity for senior data professionals who are able to understand the senior stakeholder requirements for MI and Analytics and work with the analysts to translate them into solution designs. It includes building a good understanding of FIL s application and data ecosystem along with solving complex functional, technical and architectural issues around data analysis, modelling, quality assessment and integrations along with the ability to understand the implication of the chosen technical strategy and ensure alignment with business context. The candidate will be expected to interact with all levels of the business and technical community, seeking approval from all stakeholders of the projects.The candidate should be an expert in data management and design including and not limited to ETL architecture, database technologies, data modelling, data quality, performance management, etc. while demonstrating a keenness to master, suggest and work with different technologies & toolsets. The role would also involve intensive interaction with the business and other systems groups, so good communication skulls and the ability to work under pressure are absolute must.This role will face off to senior stakeholders in the organisation so the successful candidate will therefore be personable, articulate and have strong facilitation skills to help take initiatives forward.Key ResponsibilitiesStrategize
Keyskills :
environmentcustomer relationssalessapdeliverysource system analysisbig datause casesetl toolsmutual fundsprocess flowdata qualitydata mappingdata analysisdata modelingcentral banksdata management