At a Glance
- Tasks: Transform data into actionable insights and ensure accuracy across teams.
- Company: Join a leading organisation in the manufacturing sector driving digital transformation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data management and make a real impact on business decisions.
- Qualifications: Experience as a Data Analyst with strong SQL and data governance skills.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 35000 - 45000 £ per year.
Exalto Consulting is partnering with a major organisation in the manufacturing sector, supporting an important period of digital and data transformation. This is a hybrid role with 2 days onsite per week, so ideally someone who lives within commuting distance of Cambridge.
They are introducing a new data management solution and require a Data Analyst who can bring structure, clarity and consistency to business-critical data. This role is ideal for someone who enjoys working closely with people across different teams, translating business needs into reliable, well-governed data that others can trust.
You will play a central role in ensuring data is accurate, standardised and fit for purpose as the organisation modernises its systems and processes.
We would love to hear from candidates with:
- Proven experience working as a Data Analyst
- Experience collaborating with IT, business stakeholders and third-party vendors
- Strong SQL skills and familiarity with data profiling and cleansing tools
- Solid understanding of SAP, Microsoft Dynamics or similar ERP systems
- Good grasp of master data concepts and data governance principles
- Proficiency in Excel, Power BI or similar data visualisation tools
- Strong communication skills, with the ability to document and present findings effectively
Data Analyst in Cambridge employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your skills with a portfolio! If you've worked on projects or have examples of your data analysis work, compile them into a neat presentation. This gives potential employers a tangible sense of what you can do.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from candidates who are passionate about data and eager to make an impact.
We think you need these skills to ace Data Analyst in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data governance, and any relevant tools like Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our digital transformation. Keep it concise but impactful!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to mention any past experiences where you've successfully collaborated with IT or business stakeholders. We love team players!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Exalto Consulting
✨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, as well as any experience with Excel, Power BI, or similar visualisation tools.
✨Understand the Business Context
Since this role involves translating business needs into reliable data, do your homework on the manufacturing sector and the specific challenges they face. This will help you demonstrate your understanding of how data can drive business decisions.
✨Showcase Your Collaboration Skills
Prepare examples of how you've successfully collaborated with IT, business stakeholders, and third-party vendors. Highlight your communication skills and how you've ensured everyone is on the same page when it comes to data governance.
✨Be Ready for Scenario Questions
Expect questions that ask you to solve hypothetical data-related problems. Think about how you would approach ensuring data accuracy and standardisation in a real-world scenario, and be prepared to explain your thought process clearly.