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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.
Job Description
We're hiring a Data Analyst\\n 📍 York | Hybrid (3 days onsite) | £30,000 to £40,000\\n\\nAre you ready to use your data skills to drive real-world impact?\\n\\nJoin a mission-driven organisation that's investing in its data function. You'll work with complex datasets to help shape strategy, measure programme success, and improve understanding of the audience.\\n\\nWhat you'll be doing:\\n * Analysing large-scale quantitative data\\n * Using R or Python for predictive modelling\\n * Creating insightful reports and dashboards\\n * Presenting findings to both technical and non-technical audiences\\n * Collaborating with stakeholders across the organisation\\n\\nWhat we're looking for:\\n * A degree with strong stats or maths content, or 3+ years' experience in a quantitative role\\n * Proficiency in R or Python\\n * Experience with a data visualisation tool like Power BI or Tableau\\n * Strong communication skills and a collaborative approach\\n\\nThere's genuine opportunity here to grow into either BI or research, depending on your interests.\\n\\nPlease note:\\n This role does not offer visa sponsorship. You must have the permanent right to work in the UK to be considered.\\n\\nInterested?
Drop me a message or apply directly – happy to share more.\\n\\n#DataAnalyst #Hiring #YorkJobs #DataJobs #Analytics #HybridJobs #RStats #Python #PowerBI #NoSponsorship
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.
