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For Companies At a Glance
- Tasks: Analyse large datasets, create reports, and present findings to diverse audiences.
- Company: Join a mission-driven organisation focused on impactful data strategies.
- Benefits: Enjoy a hybrid work model with opportunities for professional growth.
- Why this job: Make a real-world impact while developing your data skills in a collaborative environment.
- Qualifications: Degree in stats/maths or 3+ years in a quantitative role; R/Python proficiency required.
- Other info: No visa sponsorship available; must have permanent UK work rights.
The predicted salary is between 30000 - 40000 £ per year.
Data Analyst
Location: West Yorkshire (Hybrid)
Hours: Monday-Friday, 37.5 hours per week
Are you a detail-driven Data Analyst who loves turning complex information into clear, actionable insight? This role offers the chance to influence real operational improvements across a fast-paced production and project-led environment. If you\’re analytical, curious, and confident working with data from multiple sources, this could be your next move.
The Role
You’ll report directly to the Process & Project Manager and play a key part in improving efficiency and driving informed decision‑making. You’ll manage data collection, analysis, reporting, and performance tracking across multiple areas of the business – helping teams work smarter and supporting strategic project delivery.
This is a hybrid role, giving you the flexibility to work both remotely and on-site.
What You’ll Be Doing
- Collect, validate, and maintain data from various systems and reports
- Analyse operational, financial, and project data to identify trends and anomalies
- Build clear, concise dashboards and reports for stakeholders
- Support KPI tracking and performance monitoring
- Work with the Process & Project Manager to uncover opportunities for efficiency and cost reduction
- Provide data-driven recommendations to improve workflows
- Collaborate with cross‑functional teams to understand requirements and deliver meaningful insights
- Assist with project planning and tracking using accurate data analysis
About You
- Strong analytical and problem‑solving skills
- Proficient in Excel, Power BI, SQL, or similar tools
- Able to turn complex data into simple, actionable insights
- Exceptional attention to detail
- Confident communicator, able to work effectively with stakeholders at all levels
- Highly organised, proactive, and comfortable managing multiple priorities
Qualifications & Experience
- Degree in Data Analytics, Business Intelligence or related field – or equivalent experience
- Strong advanced Excel skills
- Experience in a similar data-focused role within a busy, fast-paced environment
If you’re ready to take ownership of meaningful data initiatives and contribute to smarter, more efficient ways of working, we’d love to hear from you.
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Data Analyst employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific datasets and challenges that our organisation faces. Research our current projects and think about how your skills in data analysis can contribute to solving these issues.
✨Tip Number 2
Brush up on your R or Python skills, especially in predictive modelling. Consider working on a small project or case study that showcases your ability to analyse data and present findings effectively.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Power BI or Tableau. Think of examples where you've used these tools to create impactful reports or dashboards that influenced decision-making.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll be presenting to both technical and non-technical audiences, being able to communicate your findings clearly will set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, R or Python, and any relevant tools like Power BI or Tableau. Use keywords from the job description to demonstrate that you meet their requirements.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analysis and how your skills can contribute to the organisation's mission. Mention specific projects or experiences that showcase your analytical abilities.
Showcase Your Technical Skills: If you have experience with predictive modelling or creating dashboards, include examples in your application. Consider linking to a portfolio or GitHub repository where you’ve shared relevant work.
Prepare for Interviews: Be ready to discuss your analytical approach and how you communicate findings to different audiences. Practice explaining complex data concepts in simple terms, as this is crucial for the role.
How to prepare for a job interview at Corecom Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R or Python in detail. Bring examples of projects where you've used these languages for predictive modelling, and be ready to explain your thought process and the outcomes.
✨Prepare Data Visualisation Examples
Since the role requires experience with data visualisation tools like Power BI or Tableau, have a couple of your best dashboards or reports ready to share. Explain how you created them and the insights they provided.
✨Communicate Clearly
You'll need to present findings to both technical and non-technical audiences. Practice explaining complex data concepts in simple terms, and think about how you can engage your audience during the interview.
✨Demonstrate Collaboration Skills
This role involves working with various stakeholders. Be ready to discuss past experiences where you collaborated effectively with others, highlighting your communication skills and ability to work as part of a team.
