At a Glance
- Tasks: Analyse data quality and governance, ensuring integrity and usability across the enterprise.
- Company: Join Infineum, a leader in specialty chemicals with a commitment to innovation and sustainability.
- Benefits: Enjoy flexible work hours, competitive pay, and comprehensive wellbeing initiatives.
- Other info: Be part of a collaborative culture that values growth and development.
- Why this job: Make a real impact on data governance while working with cutting-edge technologies.
- Qualifications: Ideal for those with a background in data analysis or SAP environments.
The predicted salary is between 35000 - 45000 £ per year.
Infineum is a world‑class specialty chemicals company dedicated to groundbreaking specialty chemicals through innovative research. Our purpose is to create a sustainable future through innovative chemistry and we are proud of our global footprint and commitment to safety.
Why Work for Us
Infineum offers competitive pay, work flexibility, and comprehensive wellbeing initiatives. Our inclusive and collaborative culture ensures every team member is valued and empowered, fostering growth and development. Join Infineum for a rewarding career where innovation and support are at the forefront.
Position Summary
As part of the global Digital Technology function, this Data Analyst position plays a pivotal role in managing and maintaining trust in data assets, ensuring their integrity, consistency, and usability across the enterprise. The role supports enterprise data governance and data quality initiatives across the organisation, with a focus on Collibra and SAP environments. The role provides hands‑on experience with the Collibra Data Intelligence Platform (DIP) and Data Quality & Observability (DQ&O), as well as exposure to the SAP S/4HANA Business Suite and SAP Master Data Governance (MDG); and a data and analytics platform based around Azure, Snowflake and PowerBI. This role will initially focus on using Collibra to automate data quality checks and drive continuous improvement in Governance. Acting as a key liaison between business stakeholders and IT teams, this role ensures that data is properly structured, governed, and maintained across systems, enabling trusted data for analytics, reporting, and operational efficiency. In addition, you will support master data processes and contribute to the evolution of centralised data governance and MDG capabilities across the enterprise. This role will also involve the administration of master data and other critical system data, ensuring consistency, accuracy, and alignment with business and operational needs, mainly in SAP S4/HANA Business Suite and SAP Master Data Governance (MDG) system. Over time, this process may also evolve to additionally support the SAP MDG system, contributing to the design and implementation of future‑state data administration processes.
What You Will Be Doing
- Data Quality Monitoring & Issue Management: Perform data profiling and execute data quality checks using Collibra DQ&O. Monitor data quality dashboards and analyse KPIs, trends, and anomalies. Support root cause analysis and remediation of data quality issues. Collaborate with data owners and stewards to improve data quality and prevent recurring issues.
- Data Governance & Stewardship Support: Support definition of data ownership, stewardship, and governance processes. Maintain and enrich metadata and data catalogues within Collibra. Help define and enforce data standards, naming conventions, and business rules. Ensure data is structured, standardised, and aligned with governance policies. Contribute to the documentation and continuous improvement of governance procedures.
- Stakeholder Collaboration: Engage with business and technical teams to understand data requirements and challenges. Translate business needs into data quality rules and governance processes. Present insights, findings from data quality reports, and recommendations to stakeholders. Support user onboarding and training on data governance practices and tools. Support training and onboarding of users on SAP and Collibra tools and data quality practices.
- Process Improvement & Governance Support: Identify opportunities to improve data governance processes and data stewardship practices. Support the development of governance policies, frameworks, and communication materials. Contribute to training, awareness, and adoption of enterprise data governance. Support audit and compliance activities related to data quality and governance.
- Data Administration: Support the maintenance of master data (e.g., customer, vendor, material, finance) primarily in SAP S/4HANA and MDG. Ensure data consistency and lifecycle management across SAP systems and wider application landscape. Collaborate with SAP functional teams to align data structures with business processes. Contribute to the design and evolution of centralised master data governance (MDG). NB: Data Administration activities are not anticipated to be a large component of this role’s activity.
A successful candidate may have:
- SAP Data Administration: Experience managing master data, including data maintenance, administration, and cleansing processes. Awareness of SAP data structures, transactions, and integration points. Exposure to SAP S/4HANA, SAP MDG (Master Data Governance), SAP Datasphere.
- Data Governance & Quality Tools: Experience defining and monitoring data quality rules, metrics, and controls. Awareness of metadata management, data lineage, data cataloguing, and governance frameworks. Exposure to Collibra (or similar data governance platforms), Talend, Snowflake, Power BI.
- Technical Skills: Experience proficiency in SQL and data analysis techniques (e.g. data profiling, querying, and validation). Awareness of data governance principles, including data security, privacy, and compliance. Exposure to data visualisation tools (e.g. Power BI) and data processing or integration concepts.
- Core Competencies: Strong analytical and problem‑solving skills. Ability to work with both technical and non-technical stakeholders. Effective communication and presentation skills. Attention to detail and commitment to high data quality standards.
- Qualifications: Bachelor’s degree in Information Management, Data Science, Business, or a STEM related field (desirable). Experience working in data, analytics, or SAP environments is beneficial. Relevant certifications (e.g., CDMP, DAMA) are a plus.
What we offer:
- Flexible start times to help balance work and life.
- Annual performance-based bonus with a target of 5% base salary (non-contractual).
- Generous pension scheme with up to 10% employer contribution.
- 25 days holiday plus bank holidays, with the option to buy a week more.
- Private medical insurance, with family cover available.
- Enhanced parental leave including 13 weeks full pay for maternity/adoption and 4 weeks full pay for paternity.
- Wellbeing perks, including Headspace subscription, Employee Assistance Program, and voluntary health checks.
- Community outreach activities & social clubs – Wellbeing, a variety of affinity groups, Environmental, Sports Fitness & wellness subsidy of £20 per month and access to MyActive discounts portal.
- Life assurance worth three times your annual salary.
Data Analyst employer: Infineum International Limited
Infineum is an exceptional employer that prioritises innovation and employee wellbeing, offering competitive pay, flexible working arrangements, and a comprehensive benefits package. Our inclusive culture fosters collaboration and personal growth, ensuring every team member feels valued and empowered to contribute to our mission of creating a sustainable future through groundbreaking specialty chemicals. Join us in a dynamic environment where your contributions directly impact our success and the world around us.
Contact Details:
Infineum International Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Infineum on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data governance knowledge, especially around Collibra and SAP. Show us you’re not just a data whiz but also understand how to apply it in real-world scenarios.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled data quality issues or improved processes in the past. We love hearing about your hands-on experience!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role can keep you top of mind. Plus, it shows us you’re genuinely keen on joining the team!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role at Infineum. Highlight relevant experience with data governance, SAP, and any tools like Collibra or Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our mission of creating a sustainable future through innovative chemistry. Let us know what excites you about working with us!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical and problem-solving skills. Share examples of how you've tackled data quality issues or improved governance processes in the past. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Infineum International Limited
✨Know Your Data Tools
Familiarise yourself with Collibra, SAP S/4HANA, and Power BI before the interview. Be ready to discuss how you've used these tools in past roles or projects, as this will show your practical knowledge and readiness to hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think of specific instances where you identified data quality issues and how you resolved them. This will demonstrate your capability to manage and maintain trust in data assets.
✨Understand Data Governance
Brush up on data governance principles and practices. Be prepared to discuss how you would define data ownership and stewardship processes, as well as how you can contribute to improving data quality and governance within the organisation.
✨Engage with Stakeholders
Think about how you would collaborate with both technical and non-technical stakeholders. Prepare to share your approach to translating business needs into data quality rules and how you would present insights from data quality reports to various teams.
