Reckitt

Senior Business Analyst

Reckitt

full-time

Posted on:

Location Type: Office

Location: HyderabadIndia

Visit company website

Explore more

AI Apply
Apply

Job Level

Tech Stack

About the role

  • Unlock the potential of data and play a pivotal role in shaping the future of IT & D as a Senior Data Scientist / Engineer / Visualization Analyst at our progressive and inclusive company
  • Your analytical prowess will turn raw data into strategic insights, driving innovation and enhancing product offerings
  • Working with the In-housing the data in housing In-housing product manager and In-housing Head of delivery
  • Organise and integrate the operations of the team to make sure we are all working as a single team
  • Work closely on new capability development with the business and product teams
  • Work with Markets and Global products to gather requirements
  • Work with Delivery to find new opportunities to improve and refine the product
  • Setup and development of the support organisation for Data in-housing
  • Manage Vendor performance
  • Be a F.A.I.R. Guardian - ensure that data is Findable, Accessible, Interoperable and Reusable
  • Work with products teams to make sure they are working with in housing data in the most efficient way
  • Ensure the correct level of documentation is being created and maintained
  • Identify data duplication in the organisation and work with In-housing product and Delivery to close gaps
  • Make sure that Harbor data products are properly catalogued and follow the definition of done principles
  • Collaborate with Data Product Managers to work on the cross-domain data sharing, identify the needs of other products and make sure data contracts are in place
  • Keep confidential data secure by identifying the security rules & requirements and working with Solution Architecture Team on implementing them

Requirements

  • 4+ years of experience in Data Business analysis or Data & Analytics products
  • Knowledge of syndicated datasets such as Nielsen and IQVIA
  • Data management skills
  • Knowledge about Microsoft Azure tech stack (Databricks, ADO, ADF)
  • Knowledge and understanding of Data Layers (Medallion Architecture) and Kimball Dimensional Modelling
  • Basic data modelling skills (conceptual & logical data models, defining keys and dimensional vs transactional tables relations, normalized vs denormalized data)
  • Basic SQL (or any other language) skills to be able to query the tables
Benefits
  • Employee Assistance Program to promote mental health
  • Life insurance for all employees globally
  • Parental benefits
  • Opportunities for professional development
  • Global share plans to save and share in Reckitt's potential future successes
  • Short-term incentives to recognize and reward outstanding results
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisdata managementdata modelingSQLconceptual data modelslogical data modelsdimensional modelingnormalized datadenormalized datadata visualization
Soft Skills
analytical skillscollaborationteam organizationcommunicationinnovationproblem-solvingvendor managementdocumentationsecurity awarenessrequirements gathering