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TL Digital

Karkataha, India

Please NOTE: Location of the Role: Mumbai, Maharashtra

This role would require the candidate to work closely with all various stakeholders across International brands at ABFRL, catering to their needs for data in the form of MIS report, BI dashboards and analytics solutions. The candidate should work closely with key stakeholders from different departments of business to understand their data needs and fulfil them through reports, dashboards, cubes etc. On the Ops front, the candidate should ensure that best practices are adopted which should result in lesser issues and optimised expenses.

Adoption is a key part of the candidate’s job. S/he should devise creative strategies to increase adoption of BI and analytic solutions within the brands, including but not limited to trainings, periodic org wide circulars etc. The candidate is also expected to identify avenues where advanced analytics and Gen AI capabilities can be leveraged and work with stakeholders to develop and implement the same

Principal Accountabilities

Accountability

Supporting Actions

Stakeholder Management

  • Liaise with Senior managers and leadership
  • Set up review and meeting Cadence
  • Seek Feedback

Requirements Gathering

  • BRD
  • Working with business users and help them fill BRD documents
  • Convert Business requirements to Tech specs

Software Development and Delivery

  • Work with IT and Data Teams to plan, build, test and deliver software to business users
  • Drive UAT and implementation/deployment
  • Mandatory Tech skills: SQL, Power BI or equivalent reporting tool, Advanced Excel
  • Good to have: Microsoft BI Stack, Exposure to Azure/AWS

Project and Program Management

  • Project Control
  • Resourcing and Budgeting
  • Project plan and cadence
  • Escalations
  • Manage several projects (Program)

Driving Adoption among businesses

  • User Training and Adoption drives
  • Tracking usage
  • Communication cadence
  • Continuous improvements

Contract management and execution

Vendor selection, Resource selection and on-boarding

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