Data Business Analyst

Who we are

We are engaging in a programme of work to design and build a platform for our client on which data products can be built, tested, provided to the business, used, monitored and maintained.

We are providing the ability to build a Data Product Factory organisation within BA, covering organisational design, ways of working and requirements management.

What you'll be doing

• The Data Business Analysts will manage, facilitate and execute the requirements management processes 
• Provide input to the design and maintenance of these requirements management processes
• Understand the BA organisation, identify the relevant parties and stakeholders for DPF processes
• Form working relationships with relevant stakeholders to facilitate communication and understanding
• Manage and communicate the processes of the requirements lifecycle and prioritisation
• Ensure that requirements (and related concepts) are sufficient to allow high quality design, engineering and testing to meet the agreed expectations and needs of the business
• Ensure that requirements (and related concepts) are recorded, tracked, measured, audited and managed across the programme

What you'll bring along

• Bachelor’s degree in Informatics/ or similar field of study/or equivalent working experience is required
• A min 5-7 years demonstrable experience in a similar role is required
• Experience in data-heavy environments
• Technical Skills: Proficiency in SQL, data modeling, ETL processes, and familiarity with databases (e.g., MySQL, Oracle, Snowflake)
• Knowledge of programming (e.g., Python, R) or cloud platforms (e.g., AWS, Azure) is often a plus
• BI Tools: Power BI, Tableau
• Database Systems: MySQL or related
• Project management: Jira, Confluence
• Previous working with a range of data platforms and solutions
• Been involved in understanding, developing and communicating technical requirements for data solutions
• Experience working within a complex and/or high pressure environment with technical and business stakeholders
• Knowledge and experience working with a range of data technologies
• Analytical Skills: Ability to interpret complex data and derive actionable insights