At a Glance
- Tasks: Lead data discovery workshops and translate business needs into actionable data requirements.
- Company: Join a dynamic team driving major data transformation projects.
- Benefits: Flexible working, competitive pay, and opportunities for professional growth.
- Other info: Work in an Agile environment with exposure to various industries.
- Why this job: Make a real impact in data transformation while collaborating with diverse teams.
- Qualifications: Experience as a Data Business Analyst with strong analytical and communication skills.
The predicted salary is between 51750 - 63250 £ per year.
Outside IR35 - statement of work
The Opportunity
We are seeking an experienced Data Business Analyst to join a major data transformation programme.
You will work across the full delivery lifecycle, translating business needs into clear, actionable data requirements, Epics and User Stories.
Working closely with business stakeholders and technical delivery teams, you will support initiatives from initial discovery and requirements definition through to design, build and testing.
Key Responsibilities
- Lead business discovery workshops to understand processes, data requirements and desired outcomes.
- Analyse current and target-state processes, data flows, systems and dependencies.
- Translate business requirements into detailed data Epics, User Stories and testable acceptance criteria.
- Produce and validate source-to-target mappings, transformation rules, data definitions and validation requirements.
- Identify and address data quality, governance, reconciliation and integration requirements.
- Support data migration, provisioning, cleansing and cutover activities.
- Work with architects, engineers, Product Owners and QA teams to ensure requirements are delivery-ready.
- Support SIT, UAT, defect triage and validation throughout the delivery lifecycle.
- Maintain requirements traceability and manage assumptions, risks, issues and dependencies.
- Proven experience as a Data Business Analyst on complex data transformation programmes.
- Strong requirements gathering, workshop facilitation and stakeholder management skills.
- Experience translating business needs into detailed requirements, Epics, User Stories and acceptance criteria.
- Hands-on experience with data flows, source-to-target mapping, transformation rules and data quality.
- Understanding of data migration, reconciliation, MDM, provisioning, integration or analytics.
- Experience working with Product Owners, architects, engineering and QA teams in Agile delivery environments.
- Exposure to SIT, UAT and defect management.
- Strong analytical, documentation and communication skills.
- Experience within retail, healthcare, clinical or financial services environments.
- Multi-domain or multi-region transformation experience.
- Knowledge of customer/product MDM and data governance.
- Familiarity with Jira, Confluence, SQL, Azure or Databricks.
- #J-18808-Ljbffr
Data Business Analyst employer: Stott and May Consulting
As a leading employer in the financial services sector, we offer our SailPoint Machine Identity Security (MIS) Consultants a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values diverse perspectives, ensuring that you can thrive both personally and professionally. Located in a vibrant city, we provide competitive benefits and a supportive atmosphere that empowers you to make a meaningful impact in the realm of identity security.
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We think this is how you could land Data Business Analyst
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We think you need these skills to ace Data Business Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Stott and May Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Stott and May Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Stott and May Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
