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For Companies At a Glance
- Tasks: Build automated analytics solutions to boost self-service capabilities.
- Company: Leading financial services organisation in Manchester with a focus on innovation.
- Benefits: Salary up to £50,000, hybrid work, and professional growth opportunities.
- Why this job: Join a dynamic team and make a real impact in data analytics.
- Qualifications: 2-3 years of data analysis experience, strong SQL and Python skills.
- Other info: Collaborative environment that values creativity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services organisation in Manchester is seeking a Data Analyst for their new Data Products team. The role involves building automated analytics solutions that enhance self-service capabilities within the organization.
Candidates should have:
- 2-3 years of data analysis experience
- Strong skills in SQL and Python
- Familiarity with Power BI
This hybrid position offers a salary of up to £50,000, opportunities for professional growth, and a collaborative work environment that values innovation.
Data Products Analyst – Self-Service Analytics Lead in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Products Analyst – Self-Service Analytics Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working with data products. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. If you've built any automated analytics solutions or dashboards in Power BI, make sure to highlight them. This will demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would enhance self-service capabilities and be ready to discuss your thought process. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Products Analyst – Self-Service Analytics Lead in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and Power BI in your application. We want to see how you've used these tools to create automated analytics solutions in the past!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data Products Analyst role. We love seeing how you connect your experience to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your achievements and skills.
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 Harnham
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to build automated analytics solutions. This will show that you not only understand the technical side but can also apply it effectively.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached data analysis challenges in the past. Think of examples where your insights led to improved self-service capabilities or enhanced decision-making. This will demonstrate your problem-solving skills and your ability to innovate.
✨Familiarise Yourself with Power BI
Since familiarity with Power BI is a key requirement, make sure you can discuss how you've used it in previous roles. If possible, bring along a portfolio or examples of dashboards you've created. This will give you an edge and show your practical experience.
✨Emphasise Collaboration
This role values a collaborative work environment, so be prepared to share experiences where you've worked effectively in a team. Highlight how you’ve contributed to group projects and how you handle feedback. This will show that you're a team player who fits well with their culture.
