Senior Business Analyst - Data & Analytics

Job Description :

• Partner the Data Product Owner, Engineers, QAs and product team in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owners vision and roadmap.

• As a senior agile Business Analyst in Data & Analytics, youll be leading complex business analysis across multiple stakeholders and business functions, while providing line management for a team of Business Analysis, including mentoring, coaching, performance management, setting objectives and conducting regular 1-2-1s.

• Define and standardise best practice for data analysis, requirements gathering and documentations to improve consistency and quality across the BA data function.

• Act as a key liaison between business stakeholders, product owners and development team in an Agile environment, ensuring clear communication and alignment of business objectives.

• Conduct business impact assessments, feasibility studies and research into systems, processes and products as required, making recommendations for the best options available to meet business objectives.

• Support the Product Owner in prioritising the backlog and backlog items based on business value and delivery constraints and dependencies.

• Responsible for the requirement elicitation and analysis for the prioritised backlog within agreed timelines decomposing into functional and technical user stories and ensuring that they are clear, concise, actionable and testable.

• Through this process ensure timely and relevant engagement with business stakeholders, engineering and other technical specialists.

• All analysis activity and outcomes to maintain close alignment with the overall vision as defined by the product owner.

• Apply concepts of Lean Agile, Customer Centricity and Design Thinking within the analysis approach.

• Develop data models, data flows and other data related artefacts to visualise data relationship and process.

• Assure solutions through techniques such as data modelling, data lineage, data dictionary, and information quality requirements.

• Where required support with creation of RFP documentation for the selection of solution components from new or existing vendors in line with OSB Group standards and consistent with direction from Architecture and Procurement professionals.

• Assure the quality of analysis artefacts building-in quality through a range of techniques including peer and expert review, upholding artefact standards, maintaining tool-based trace, and applying fail-fast build and learn techniques such as modelling, wireframing, and prototyping.

• Actively participate in all relevant Agile events such as PI planning, backlog refinement and retrospectives advocating for alignment and relentless improvement.

• Proactively undertakes self-development activities to cultivate Subject Matter Expertise across different areas in their field, integrating this knowledge to perform complex and diverse tasks.

• Represent Lab as Subject Matter Expert with a working knowledge of the organisations domain : its services, technologies, architecture, business processes and procedures.

• Supports the development of persistent artefacts for the assigned business domain such as personas, empathy and journey maps, operating models, business models, process models and data models.

• Support the QE team in the creation of test strategy plans, which align with and trace to requirements along with the Test Manager.

• Support with the ongoing development and enhancement of robust team operating frameworks, document and tools.

• Manage communication where embedding change to ways of working.

• Ensure that you fully understand and comply with the organisations Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

• Ensure that you fully understand and comply with the organisations Data Governance Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you treat data as an important corporate asset which must be protected and managed.

• Maintain the companys compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

Experience Requirements :

• A solid background in business analysis with a minimum 6 years experience operating at senior / lead Agile Business Analyst (or equivalent) of which 3 years experience of working on data centric assignments is essential.

**This will include :

• Owned requirements lifecycle from discovery through to implementation, ensuring alignment between business needs and technical solutions.

• Partner with senior stakeholders to define KPIs, reporting framework and deliver strategic business objectives.

• Collaborate with data engineering, data PO, QAs, data leadership to implement scalable data platform and analytics solutions.

• Provide line management for a team of business analyst, including performance management, objectives setting, career development, resource planning, workload prioritisation and capability development across the Data BA function.

• Proficiently writing functional and technical user stories and related acceptance criteria in alignment with business objectives.

• Familiarity with data architecture, ETL process and cloud data platforms (e.g. AWS, Azure, Google Cloud).

• Experience with SQL for querying database and familiarity data visualisation tools like Tableau Power BI or Qlik.

• Conducting benchmarking and research techniques to support the definition of user stories.

• Extensive experience working in Agile framework (Scrum, Kanban, SAFe).

• Use of Atlassian tools, Confluence and JIRA, for requirement decomposition, definition, elaboration and trace.

• Conducting change management planning to support business adoption and benefit realisation.

• A minimum of 6 years within the Financial Services industry of which 3 years experience of working within Mortgage and Savings, products and domain services is essential.