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- Tasks: Manage data pipelines and create insightful reports to drive customer growth.
- Company: Join a globally recognised financial services giant with a focus on analytics.
- Benefits: Competitive pay, flexible working options, and opportunities for professional development.
- Why this job: Shape the future of data management in a dynamic and innovative environment.
- Qualifications: Strong SQL skills and experience with reporting tools like Tableau or Qlik Sense.
- Other info: Exciting role with a perfect balance of data management and reporting.
The predicted salary is between 36000 - 60000 £ per year.
We’re partnering with a Globally known Financial Services Giant as they grow out their analytics capability and are currently seeking to hire a new Data & Reporting Analyst to support their Customer Optimisation and Lifecycle Marketing programmes. This is a newly created role where you’ll split your time between data management and reporting/analysis, helping to power experimentation and customer growth. Be part of a newly created role with room to shape how they work with data!
Role Requirements:
- Manage data pipelines to ensure reliable, timely data availability for testing and campaigns.
- Write and run SQL queries, shaping and maintaining key datasets.
- Support experimentation by measuring outcomes, analysing performance, and surfacing insights.
- Build clear dashboards and reports (Tableau / Qlik Sense) for stakeholders across the business.
- Balance work across 50% reporting / 50% data management.
Skills Needed:
- Strong SQL skills
- Hands-on experience with reporting tools (eg. Tableau or Qlik Sense).
- Exposure to data pipelines or data management
- AWS / data lake experience is a plus but not essential.
- Analytical mindset with the ability to support experimentation frameworks.
*Rates depend on experience and client requirements
Data Analyst employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, dashboards, and any data projects you've worked on. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you'd approach measuring outcomes or analysing performance. We want you to be ready to impress with your analytical mindset!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with reporting tools like Tableau or Qlik Sense. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this newly created role and how you can contribute to customer optimisation and lifecycle marketing. Let us know what makes you tick!
Showcase Your Analytical Mindset: In your application, give examples of how you've supported experimentation frameworks in the past. We love seeing candidates who can measure outcomes and analyse performance, so share those insights with us!
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 updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Salt
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with writing and running queries, as well as how you've used SQL to shape datasets in previous roles. Practising some common SQL problems can really help you feel confident.
✨Showcase Your Reporting Skills
Since this role involves a lot of reporting, be ready to talk about your experience with tools like Tableau or Qlik Sense. Bring examples of dashboards or reports you've created, and explain how they helped stakeholders make informed decisions. Visuals can speak volumes!
✨Understand Data Pipelines
Even if you don't have extensive experience with data pipelines, it's crucial to understand the basics. Familiarise yourself with how data flows from source to analysis, and be ready to discuss any relevant experience you have. This shows you're proactive and eager to learn.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical mindset and problem-solving skills. Think of scenarios where you've measured outcomes or analysed performance in past projects. Being able to articulate your thought process will demonstrate your ability to support experimentation frameworks effectively.
