Data Analyst in Warrington

Data Analyst in Warrington

Warrington Temporary 30000 - 40000 £ / year (est.) No working from home possible
Vector Resourcing

At a Glance

  • Tasks: Analyse complex data to provide insights for key decision-making across various functions.
  • Company: Join a dynamic organisation focused on data integrity and project success.
  • Benefits: Gain valuable experience in a 9-month contract with potential for future opportunities.
  • Other info: Collaborate with diverse teams and enhance your professional network.
  • Why this job: Make an impact by delivering high-quality information that drives important business decisions.
  • Qualifications: Strong analytical skills and experience with data management tools required.

The predicted salary is between 30000 - 40000 £ per year.

Our client is looking for a Data Analyst to support a critical 9-month due diligence programme through the collection, analysis, and reporting of complex organisational data. You will deliver accurate, reliable insights that inform senior stakeholder decision-making, working across HR, payroll, finance, procurement, and estates functions. This role is focused on data integrity, workforce analysis, and enabling successful project delivery through high-quality information management.

Responsibilities:

  • Extract, validate, and consolidate data from multiple business systems, including SAP, HR, payroll, finance, procurement, and estates platforms.
  • Analyse large and complex datasets to identify trends, risks, anomalies, and opportunities that support due diligence activities.
  • Produce accurate reports, dashboards, and data packs for senior managers and project stakeholders.
  • Manage sensitive employee and business information in line with data protection and governance requirements.
  • Interpret data requirements and translate them into structured, usable datasets for project teams.
  • Maintain data quality by identifying inconsistencies, resolving issues, and implementing appropriate validation checks.
  • Build effective working relationships with stakeholders across multiple functions to gather information and clarify requirements.

Data Analyst in Warrington employer: Vector Resourcing

Our company is an exceptional employer, offering a collaborative work culture that values data integrity and innovation. With a strong focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact through your work as a Data Analyst. Located in a vibrant area, we also offer competitive benefits and a supportive environment that fosters teamwork and success.

Vector Resourcing

Contact Details:

Vector Resourcing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Warrington

Tip Number 1

Network like a pro! Reach out to people in your industry, especially those who work in data analysis. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your ability to extract, validate, and analyse complex datasets. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common data analysis questions. Be ready to discuss your experience with tools like SAP and how you've managed sensitive information. Practise explaining your thought process when analysing data – clarity is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that Data Analyst role!

We think you need these skills to ace Data Analyst in Warrington

Data Analysis
Data Validation
Data Consolidation
SAP
HR Systems
Payroll Systems
Finance Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data extraction, analysis, and reporting, especially if you've worked with systems like SAP or in HR and finance. We want to see how your skills match what we're looking for!

Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you’ve used them! Include specific examples of how you've analysed complex datasets and produced reports that influenced decision-making. This will help us understand your impact in previous roles.

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, making it easy for us to see your qualifications.

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

How to prepare for a job interview at Vector Resourcing

Know Your Data Tools

Familiarise yourself with the data tools mentioned in the job description, like SAP and other business systems. Be ready to discuss your experience with these tools and how you've used them to extract and analyse data in previous roles.

Showcase Your Analytical Skills

Prepare examples of how you've analysed large datasets in the past. Think about specific trends or anomalies you identified and how your insights influenced decision-making. This will demonstrate your ability to deliver reliable insights.

Understand Data Governance

Brush up on data protection and governance requirements. Be prepared to discuss how you’ve managed sensitive information in compliance with regulations. This shows that you take data integrity seriously, which is crucial for this role.

Build Rapport with Stakeholders

Think about how you can build effective working relationships with stakeholders. Prepare to share examples of how you've collaborated across different functions to gather information and clarify requirements, as this is key to successful project delivery.