Associate Business Analyst at Equus Software providing innovative solutions for client’s technical requirements while supporting the Global Client Success team.
About the role
- Data Analyst at Reckitt leveraging data to drive innovation and enhance product offerings. Collaborating with teams to organize and integrate operations while ensuring data security and efficiency.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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