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- Tasks: Analyse data and create visualisations to drive business insights.
- Company: Leading tech firm in Manchester with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact through data-driven decisions.
- Qualifications: 2-3 years of experience in data analysis, strong SQL skills, and BI tool proficiency.
- Other info: Collaborative environment with a focus on data governance and pipeline monitoring.
The predicted salary is between 28800 - 48000 £ per year.
A leading tech firm in Manchester is seeking a junior to mid-level Data Analyst to join their Data Science team. This hybrid role involves analyzing data and building visualizations to support business insights.
The ideal candidate will have 2-3 years of experience, strong skills in SQL, and proficiency in BI tools like Looker. You will work collaboratively, assisting in data governance and pipeline monitoring to drive effective decision-making.
Hybrid Data Analyst — Insights, Dashboards & Growth in Manchester employer: PURPLE
Contact Detail:
PURPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst — Insights, Dashboards & Growth in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data visualisations and analyses. This will help us demonstrate our expertise in SQL and BI tools like Looker during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us refine our answers and boost our confidence before the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data Analyst — Insights, Dashboards & Growth in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and BI tools like Looker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive insights or decisions in previous roles. We’re looking for candidates who can demonstrate their analytical prowess and problem-solving abilities.
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 our team!
How to prepare for a job interview at PURPLE
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to answer questions about complex queries and data manipulation, as well as demonstrate your ability to extract insights from databases.
✨Show Off Your BI Tool Skills
Familiarise yourself with Looker or any other BI tools mentioned in the job description. Bring examples of dashboards or visualisations you've created in the past, and be ready to discuss how they helped drive business decisions.
✨Understand Data Governance
Since this role involves data governance, make sure you understand its principles. Be prepared to discuss how you’ve contributed to data quality and compliance in previous roles, and how you can help maintain these standards in the new position.
✨Collaborative Mindset
This role requires teamwork, so be ready to share examples of how you've successfully collaborated with others in the past. Highlight your communication skills and how you approach working with cross-functional teams to achieve common goals.
