Hybrid Data Governance Analyst β€” Master Data & ERP in Lutterworth

Hybrid Data Governance Analyst β€” Master Data & ERP in Lutterworth

Lutterworth Full-Time 35000 - 42000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive master data management and govern data for a major ERP programme.
  • Company: Join Travis Perkins plc's BSS division, a leader in the industry.
  • Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative Finance team with high visibility across the business.
  • Why this job: Make a real impact by ensuring data quality and supporting informed decision-making.
  • Qualifications: Experience in data analysis and strong communication skills required.

The predicted salary is between 35000 - 42000 Β£ per year.

Travis Perkins plc's BSS division is seeking a Data Analyst to drive master data management for a major ERP programme.

This hands-on role focuses on product and supplier data, not just spreadsheets, with high visibility across the business.

You will extract, cleanse and govern data from multiple sources, own data quality initiatives, and translate stakeholder needs into clear reports that support informed decision making within a collaborative Finance team.

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Hybrid Data Governance Analyst β€” Master Data & ERP in Lutterworth employer: Travis Perkins plc

At CCF, part of the Travis Perkins Group, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work environment. As a Warehouse Supervisor/Team Leader, you'll benefit from extensive career growth opportunities, competitive salaries with bonus potential, and a strong commitment to employee wellbeing. Our culture encourages collaboration and authenticity, ensuring that every team member feels valued and empowered to contribute their best.

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Contact Details:

Travis Perkins plc Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Hybrid Data Governance Analyst β€” Master Data & ERP in Lutterworth

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We think you need these skills to ace Hybrid Data Governance Analyst β€” Master Data & ERP in Lutterworth

Data Management
Master Data Management
ERP Systems
Data Extraction
Data Cleansing
Data Governance
Data Quality Initiatives

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 Travis Perkins plc, 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 Travis Perkins plc. 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 Travis Perkins plc

✨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

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✨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.