At a Glance
- Tasks: Bridge business needs and data solutions, improving data quality and reporting.
- Company: Join a forward-thinking organisation focused on data-driven decision-making.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Dynamic Agile environment with excellent career advancement potential.
- Why this job: Make a real impact by enhancing data processes and driving business insights.
- Qualifications: Strong analytical skills and experience in data management or reporting.
The Data & MI Business Analyst acts as a bridge between business stakeholders, data teams and technology delivery teams, using strong business analysis and consultancy skills to understand how data is created, managed, transformed, reported and consumed across the organisation. The role is responsible for understanding business processes and information needs, identifying data-related issues and opportunities, and translating business requirements into actionable data, reporting, analytics and information management solutions.
Working across business and technical teams, the Data Business Analyst will help improve data quality, governance, consistency and usability, supporting the delivery of data products, management information (MI), reporting, dashboards and insights that enable effective business decision-making. The role will also identify inefficiencies, data duplication, gaps in data ownership and opportunities to simplify or improve data flows, interfaces and reporting processes. The successful candidate will combine strong core Business Analysis and consultancy capability with practical experience of working with data, reporting and information management in an Agile delivery environment.
- Business Analysis & Consultancy
- Work closely with business stakeholders, data engineers, analytics teams and product owners to define data solutions.
- Gather, document and prioritise business requirements for data, MI reporting and analytics initiatives.
- Analyse business processes, requirements and assumptions to identify opportunities for data automation, standardisation and improved reporting.
- Translate complex business and data requirements into clear, actionable outcomes for data and technology teams.
- Help establish a common understanding of critical business data and its meaning across different business areas.
- Data Analysis, Governance & Quality
- Analyse how data is captured, processed, stored, transformed and consumed across business processes and systems.
- Identify data quality issues, inconsistencies, duplication, gaps and opportunities for improvement.
- Define and document data ownership, stewardship and accountability requirements where appropriate.
- Develop and maintain business data dictionaries, data definitions, terminology and agreed business rules.
- Define and document data mappings, business rules, KPIs and data definitions.
- Support the design and implementation of data warehouse, reporting and BI solutions.
- Ensure governance, data quality and business requirements are considered throughout delivery.
- Data Flows, Interfaces & Migration
- Analyse and document data flows between business processes, applications, databases, reporting platforms and external interfaces.
- Identify dependencies, hand-offs, manual interventions and inefficiencies within existing data flows.
- Support the definition of requirements for data interfaces, integrations and data exchanges between systems.
- Identify opportunities to simplify, automate or improve data flows and information processing.
- Define data mappings and transformation requirements for data integration and migration initiatives.
- Support data migration activities including data profiling, mapping, cleansing, transformation, validation and reconciliation.
- MI, Reporting & Analytics
- Understand business management information requirements and translate them into clear data and reporting specifications.
- Define requirements for management information, operational reporting, dashboards and analytical products.
- Identify inconsistencies between existing reports and sources of data, helping establish trusted and agreed sources of information.
- Analyse existing reporting to identify duplication, manual effort, inefficiencies and opportunities for rationalisation.
- Support the development and enhancement of dashboards, reports and data visualisations using tools such as Power BI, Tableau, Qlik or similar.
- Support the development of self-service reporting and analytics capabilities by ensuring users have access to appropriate, trusted and well-defined data.
- Work with data and analytics teams to validate that reporting outputs meet business requirements and provide meaningful insight.
- Agile Delivery & Testing
- Work effectively within Agile delivery teams, contributing to refinement, planning, prioritisation and delivery activities.
- Create clear user stories, acceptance criteria and other requirements artefacts appropriate to the delivery approach.
- Collaborate with Product Owners and delivery teams to ensure data requirements are understood and appropriately prioritised.
- Support data validation, functional testing, system integration testing and User Acceptance Testing (UAT).
- Define test scenarios and acceptance criteria for data, reporting, migration and integration requirements.
- Validate data outputs against agreed business rules, definitions and expected results.
- Support the investigation and resolution of defects, data quality issues and discrepancies.
Data & MI Business Analyst in Milton Keynes employer: Expleo UK LTD
Expleo UK LTD is an excellent employer for those seeking to make a significant impact in the automotive industry. With a strong focus on innovation and quality, employees benefit from a collaborative work culture that fosters professional growth and development. Located in Gaydon, a hub for automotive excellence, team members enjoy unique opportunities to work on cutting-edge projects while being part of a supportive environment that values expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Data & MI Business Analyst in Milton Keynes
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & MI Business Analyst at Expleo UK LTD.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Expleo UK LTD.
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When you find a suitable opening like Data & MI Business Analyst at Expleo UK LTD, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Expleo UK LTD, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Expleo UK LTD. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Expleo UK LTD
✨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!
✨Showcase Your Projects
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 Expleo UK LTD!
✨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.
