Jobs and Careers
EY

Data Analyst Backend-Supervising Associate

EY
Trivandrum, KL, IN, 695581full_timeVerifiedPosted 18 Nov 2024

About the role

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

Job Title: Business Data Analyst – Backend Product Line

Function: Finance
Sub-Function: Reporting & Data Analytics – FP&A

The opportunity

The Business Data Analyst (BDA). is the connection point between the Product Line Lead and the technical and Quality Assurance (QA) teams. The BDA translates functional requirements into detailed technical specifications, supports the development cycle and drives functional validation until enhancements and resolved defects are ready to be moved into Production. Additionally, the BDA provides support for data consumers, reviews regular data updates, conducts functional and data-related validations and sends out communications when necessary. Data consumers are mainly R&DA teams as well as some external consumers in other functions or organizational entities. The Backend product line is focused on sourcing and integrating different data sources, organizing them in a generic, business oriented and consumable data model and applying EY’s business rules as well as managing and maintaining the core reporting structures and supporting tools. All Essentials tools, additional supplemental reports, analytics tools as well as some external recipients will be supported by this product line. Further integration and optimization of the reporting backend is planned, as well as moving it to a modern technology stack. The main responsibility is to manage the continuous enhancement and defect management of the backend based on requirements from the different data consumers or upstream changes as well as to ensure smooth operations and good & timely consumer support.

 

The Reporting and Data Analytics sub-function (R&DA) is a leading-edge organization providing powerful analytical solutions to evolve our ability to provide insights to the business. The R&DA ensures that EY is keeping pace with the many analytical and technological changes taking place in the business world, evolving our tools and the way we look at information, to best support the client serving as well as corporate responsibilities in a rapidly changing business world.

 

Your key responsibilities

  • Turn data needs and business rules into requirements (user stories) including detailed acceptance criteria ensuring quality, consistency as well as generic and consumable solutions that all data consumers can benefit from
  • Identify opportunities to enhance the backend data model and processes and optimize as well as stabilize the underlying data loading and transformation processes and data quality checks
  • Validate enhancements as well as resolved defects from a functional and data accuracy point of view
  • Collaborate closely with Product Line and Backend Product Line Leads and their teams to gather prioritized requirements and data issues, eliciting detailed information to assist the technical team in executing the planned tasks
  • Work closely with QA team to define validation criteria and activities and helps prioritizing defects ensuring high quality of deliverables
  • Support R&DA internal and external User Acceptance Test (UAT) activities
  • Build a relationship with upstream data providers (primarily CDW) regarding data quality and batch SLAs as well as interfaces to planning tools
  • Work hand in hand with the product line teams and align timelines and dependencies with their roadmap
  • Stay up to date on technical innovation, new product offerings of our key vendors and regularly collect feedback from data consumers


Skills and attributes for success

  • Experience in project management – agile/scrum project management would be beneficial
  • Good communication with the ability to flex between functional and technical conversations
  • Ability to effectively communicate and influence IT teams to solve data problems and support functional design
  • Understanding of EY’s key source s

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Company

EY

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