At a Glance
- Tasks: Lead data management initiatives and collaborate with stakeholders to ensure data accuracy.
- Company: Dynamic company focused on enterprise data solutions in a hybrid work environment.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Join a team that values innovation and continuous improvement in data excellence.
- Why this job: Make a real impact on data governance and quality in a fast-paced industry.
- Qualifications: Experience in MDM, data quality, and governance, preferably in regulated sectors.
The predicted salary is between 70000 - 90000 £ per year.
- MDM Data Business Analyst - SAP MDG & Informatica
- Inside IR35
- Remote/Hybrid - London
- 6 Months Initially
- Overview
- We are seeking an experienced
MDM Data Business Analyst with expertise in SAP MDG and Informatica to support the delivery of enterprise-wide data management initiatives, with a particular focus on
Master Data Management (MDM), Data Quality (DQ), and Data Governance (DG)
The successful candidate will play a key role in requirements gathering, analysis, design support, testing, and stakeholder engagement, ensuring business and data requirements are clearly defined, documented, and delivered across complex enterprise data programmes.
Key Responsibilities for the MDM Data Business Analyst with expertise in SAP MDG and Informatica
- Lead business and data requirements gathering workshops with key stakeholders.
- Document, analyse, and obtain sign-off for business, functional, and data requirements.
- Translate business requirements into detailed data specifications and system configurations.
- Support the design, build, and implementation of MDM, Data Governance, and Data Quality solutions.
- Develop and review SIT and UAT test scenarios, test scripts, and test evidence.
- Conduct data analysis and validation activities to ensure data accuracy and integrity.
- Define and monitor data quality rules, controls, and KPIs.
- Identify, investigate, and support the resolution of data quality issues.
- Support the implementation and governance of customer and product master data domains.
- Collaborate with business and technical teams to improve data processes, governance frameworks, and operating models.
- Produce high-quality documentation including business requirements, process maps, data definitions, user stories, and governance artefacts.
- Work closely with Supply Chain, Regulatory, Marketing, Technology, and Data teams to drive successful delivery.
Required Experience for the MDM Data Business Analyst with expertise in SAP MDG and Informatica
- Proven experience delivering Enterprise Data Management initiatives covering:
- Master Data Management (MDM)
- Data Quality (DQ)
- Data Governance (DG)
- Experience within Consumer Healthcare, Pharmaceuticals, FMCG, Retail, or similarly complex regulated environments is highly desirable.
• Understanding of enterprise data concepts, including
- Data modelling
- Metadata management
- Reference data
- Data lineage
- Data catalogues and data marketplaces
- Demonstrable experience implementing MDM solutions, specifically across:
- Product Master Data
- Customer Master Data
- Background in defining and managing data quality frameworks and controls.
- Experience working within large-scale, cross-functional enterprise data programmes.
- Proven ability to engage and influence stakeholders at multiple levels across the organisation.
- Exceptional analytical, documentation, and communication skills.
- Technical Skills
• Experience with enterprise data management platforms, ideally
- Informatica
- SAP MDG
- SQL skills for data analysis, profiling, reconciliation, and validation.
• Understanding of
- Data Lakes
- ETL processes
- Data integration patterns
• Knowledge of
- SAP ECC
- SAP S/4HANA
- SAP BW
- Azure Data Lake
- Databricks
- Power BI
- Key Competencies
- Analytical and problem-solving capability.
- Ability to bridge the gap between business and technical teams.
- Highly detail-oriented with a focus on data accuracy and compliance.
- Excellent stakeholder management and facilitation skills.
- Ability to manage competing priorities within a complex programme environment.
- Continuous improvement mindset with a passion for data excellence.
Desirable
- Experience supporting global MDM or Data Governance transformations.
- Exposure to Agile delivery methodologies.
- Familiarity with data governance operating models and stewardship frameworks.
- Experience working in regulated industries with complex product and customer data structures.
- #J-18808-Ljbffr
MDM Data Business Analyst - SAP MDG & Informatica in London employer: Lorien
Join a forward-thinking company in Manchester that values technical expertise and offers a dynamic work culture. With a focus on hybrid working, flexible hours, and a strong emphasis on employee growth, this role provides the opportunity to lead impactful projects while maintaining a hands-on engineering position. Enjoy a competitive salary, annual bonus, and the chance to shape the future of corporate infrastructure services in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land MDM Data Business Analyst - SAP MDG & Informatica in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace MDM Data Business Analyst - SAP MDG & Informatica in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
