Data Analyst

Data Analyst

Huntingdon Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data and ensure its accuracy for a new data management solution.
  • Company: Join a forward-thinking company focused on data integrity and collaboration.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: Experience as a Data Analyst with strong SQL and data visualisation skills.
  • Other info: Collaborative environment with a focus on innovation and career advancement.

The predicted salary is between 36000 - 60000 £ per year.

Overview

Data Analyst – Procurement

We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes.

Key Accountabilities

System Deployment Support

  • Collaborate with functional and technical teams to define data requirements for Procurement applications across a complex system landscape
  • Assist in data migration activities: mapping, cleansing, validation, and reconciliation
  • Analyse legacy data sources and support the data transformation into compatible formats
  • Participate in testing cycles (e.g., UAT) to validate data accuracy and system behaviour
  • Define and implement data standards, policies and procedures

Master Data Development

  • Contribute to the design and implementation of a centralised master data strategy
  • Define and document data standards, taxonomies, and governance rules
  • Monitor data quality metrics and support remediation efforts

Cross-Functional Collaboration

  • Work closely with business stakeholders to understand data needs and pain points
  • Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards
  • Provide insights and recommendations based on data analysis to support decision-making

Key Experience, Knowledge and Skills

  • Proven experience as a Data Analyst
  • Working with IT, Business teams and 3rd party vendors
  • In depth understanding of SAP and Microsoft Dynamics or other similar solutions
  • Strong SQL skills and familiarity with data profiling and cleansing tools
  • Understanding of master data concepts and data governance frameworks
  • Proficiency in Excel, Power BI, or other data visualisation tools
  • Excellent communication and documentation skills

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Data Analyst employer: Hilton Foods

As a Data Analyst in our dynamic procurement team, you will thrive in a collaborative environment that values detail-oriented work and innovative thinking. Our company offers robust employee growth opportunities, a commitment to data integrity, and a culture that encourages cross-functional collaboration, all set in a location that fosters both professional and personal development. Join us to be part of a forward-thinking organisation that prioritises your career advancement while making a meaningful impact through data-driven decision-making.
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Contact Detail:

Hilton Foods Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to your connections in the data analytics field, especially those who work in procurement. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, Excel, or Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common data analyst questions and scenarios. Think about how you would handle data migration or cleansing tasks, and be ready to discuss your experience with SAP or Microsoft Dynamics.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented data analysts. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Data Analyst

Data Standardisation
Data Integrity
Data Migration
Data Mapping
Data Cleansing
Data Validation
Data Reconciliation
Data Transformation
User Acceptance Testing (UAT)
Data Standards Implementation
Master Data Development
Data Governance
Data Quality Monitoring
SQL
Excel
Power BI

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data standardisation, SQL skills, and any relevant tools like Power BI. We want to see how your background fits perfectly with what we're looking for!

Showcase Your Collaboration Skills: Since this role involves working closely with both technical and business teams, don’t forget to mention your collaborative experiences. Share examples of how you've bridged gaps between teams in your previous roles – it’s a big plus for us!

Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point, showing us your analytical mindset right from the start.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Hilton Foods

✨Know Your Data Tools

Make sure you brush up on your SQL skills and get familiar with data profiling and cleansing tools. Be ready to discuss how you've used these in past roles, especially in relation to SAP or Microsoft Dynamics.

✨Understand the Business Needs

Before the interview, take some time to think about how data impacts business decisions. Be prepared to share examples of how you've translated business requirements into actionable data models and how that has benefited your previous teams.

✨Showcase Your Collaboration Skills

This role requires working closely with both technical and functional teams. Think of specific instances where you've successfully collaborated across departments, and be ready to discuss how you navigated any challenges.

✨Prepare for Data Quality Discussions

Since data integrity is key, be ready to talk about your experience with monitoring data quality metrics and any remediation efforts you've been involved in. Highlight your understanding of data governance frameworks and how you've implemented them.

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