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- Tasks: Analyse and improve reporting, enhance data structures, and deliver actionable insights.
- Company: Dynamic company investing in data capabilities with a focus on customer journey insights.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Enjoy autonomy in your role while collaborating with a small, dedicated team.
- Why this job: Join a fast-paced team and make a real impact on data-driven decision-making.
- Qualifications: Strong experience in Power BI, SQL, and Databricks; end-to-end BI experience required.
Location: Hybrid - Manchester (2/3 days onsite)
IR35: Inside IR35
Rate: £450-£500 per day
Start: ASAP
Overview
The business is investing heavily in its data capabilities, particularly across claims and pricing, with a focus on improving customer journey insights and building more robust data foundations.
You'll be joining a fast-paced environment with a high level of autonomy, working closely with a small team of analysts to enhance reporting, identify gaps, and improve how data is structured and used across the business.
Role Focus
- Support key initiatives across claims and pricing
- Improve data structures and pipelines to enable better downstream reporting and insights
- Analyse existing reports, identify gaps, and help enhance the reporting layer
- Work closely with analysts and wider data teams to deliver high-quality outputs
- Contribute to building a best-in-class pricing and performance data ecosystem
- Operate in a fast-paced environment with strong ownership and autonomy
Key Responsibilities
- Analyse and improve existing reporting (primarily Power BI)
- Work across the full BI lifecycle - data prep, ETL, and visualisation
- Identify data gaps and opportunities to enhance insight delivery
- Collaborate with analysts and technical teams to improve data pipelines
- Ensure data is structured and prepared effectively for reporting use cases
- Deliver clear, actionable insights to support business performance
Experience Required
- Strong experience in Power BI, SQL and Databricks
- End-to-end BI experience (data preparation, ETL, visualisation)
- Ability to work independently and take ownership of delivery
- Strong understanding of data processes and business context and value add
- Proactive and collaborative approach when working with teams
Desirable
- Python for data manipulation
- Experience in Insurance (preferred) or Financial Services
Data Analyst SQL Python Tableau employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL, Python, and Tableau. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've improved reporting or identified gaps in previous roles. 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 about their job search.
We think you need these skills to ace Data Analyst SQL Python Tableau
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Power BI. 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 this role and how you can contribute to our data capabilities. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've improved reporting or identified gaps in data. We’re looking for candidates who can demonstrate their analytical prowess and how it’s made a difference in previous roles.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and Databricks. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Understand the Business Context
Familiarise yourself with how data impacts claims and pricing in the insurance or financial services sector. Be prepared to discuss how your insights can drive business performance and improve customer journeys. This shows you’re not just a tech whiz but also understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data gaps or reporting issues. Think of examples from your past experience where you identified a problem and implemented a solution. This will highlight your analytical skills and proactive approach.
✨Show Your Collaborative Spirit
Since the role involves working closely with a small team, be ready to talk about your experiences collaborating with others. Share examples of how you’ve worked with analysts and technical teams to enhance data pipelines or reporting. This will demonstrate your ability to thrive in a fast-paced environment.