· Assessing the As-Is
· Able to capture the detailed as-is data ecosystem for a large scale organisation, including systems architecture, governance (functional and non-functional) and present this in a clear and concise manner
· Capable of understanding detail to table / column level and decipher maturity and suitability of solutions, assessing risks and opportunities for improvement 4. Ability to understand detailed business logic which exists within a given data ecosystem (in some cases via unpicking code) and represent to a wide, less technical audience (e.g. PowerPoint)
· Understanding the Need
· Consolidate and translate requirements into high-quality documentation (BRDs, process maps, data dictionaries, etc.), adding own business context and opinion to play back to stakeholders
· Able to represent the customer needs and articulate the value in what is being delivered through the means of story telling
· Develop a deep understanding of the client’s data ecosystem to confidently influence business decisions backed with clearly understood and well thought through outcomes
· Defining the Solution
· Use knowledge of tools, systems and technology to refine proposed solutions and ensure they meet the needs of our clients
· Work with agility to provide input into user stories in order to drive detailed understanding of the value creation and business need, assist with prioritisation in line with business criticality, development of product backlogs to ensure features are prioritised correctly and meet the original needs of the client
· Work closely with clients and project teams to ensure data assets are actively adopted by end users to maximise client value and drive business activation
Must-have Skills:
· Has 6–9 years’ experience working as a Data Business Analyst or Data Solution Lead in a highly complex, data led environment
· Strong capability to read, write, and reason with SQL for exploring data and validating logic.
· Deep understanding of data models, data flows, and system behaviour, with the ability to explain them to non-technical audiences.
· Ability to articulate ideas both to business and technical teams, leveraging experience on both sides to gain buy in and drive powerful solutions
· Background in previous data roles within design, development or analysis teams using SQL exploratory skills to ratify assumptions
· Proven experience working directly with engineering/technical teams to deliver data products, pipelines, dashboards, MDM, governance, or transformation
Nice-to-have Skills:
· Proactive, dynamic, and driven by delivering quality work, with a great eye for detail
· High level of curiosity to understand a business and the way in which it operates and a willingness to challenge the norm in an effective and empathic way
· Strong analytical problem-solving—comfortable breaking down ambiguity and navigating complex ecosystems.
· An exceptional communicator who can make sense of and communicate complex ideas at all levels
· Ability to quickly understand client context and demonstrate expertise in their business
· A relationship builder, with the ability to motivate and engage effectively to build trust with clients & colleagues.
Job Type: Full-time
Pay: ₹1,098,652.47 - ₹2,406,858.91 per year
Work Location: In person
