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- Tasks: Analyse complex data and provide insights for financial services clients.
- Company: Join a high-performing consultancy in the financial sector.
- Benefits: Fully remote work, competitive daily rate, and flexible contracts.
- Why this job: Make a real impact with your data skills in a dynamic environment.
- Qualifications: 10+ years in asset management, expertise in SQL, Python, and DBT.
- Other info: Fast-paced, agile start-up culture with opportunities for leadership.
This role is for a Senior Analytics Engineer with a 6-month rolling contract, offering £600‑£650/day, fully remote. Requires 10+ years in asset management, expertise in SQL, Python, and DBT, plus experience in reinsurance or life insurance.
You will join one of our high‑performing consultant teams, delivering cutting‑edge solutions for our financial services clients. This is a hands‑on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions.
Key Responsibilities- Perform complex data manipulation and analysis to support senior business experts and stakeholders.
- Utilise Python and its data libraries to handle large datasets and automate analytical tasks.
- Design and execute robust data mapping and analysis projects.
- Work with our expert teams to understand client needs and translate them into effective data solutions.
- Work in a fast‑paced start‑up agile and high‑pressure environment.
- Domain knowledge (min 10 years): Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data.
- Investment & Financial: Experience with investment‑related projects or working in the reinsurance or life insurance domain.
- SQL: Data manipulation and querying.
- DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.
- Python: Experience in libraries like Pandas and NumPy.
- Leadership: Make decisions on data warehouse, self‑starter, lead a team.
- Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.
- Familiarity with Databricks Cloud Platform: Building on Azure.
- Fully Remote
- Outside IR35
- 6 month rolling contracts
- £600‑£650/day
Senior Analytics Engineer employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have the inside scoop on a job opportunity that’s perfect for you.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving SQL, Python, and DBT. This will give potential employers a taste of your capabilities and how you tackle complex data challenges.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and understanding the company’s needs. Be ready to discuss how your experience in asset management and reinsurance can bring value to their team. Confidence is key!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that Senior Analytics Engineer role. We’re all about connecting talented individuals with amazing opportunities, so don’t miss out!
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years in asset management and showcases your expertise in SQL, Python, and DBT. We want to see how your experience aligns with the role, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Analytics Engineer role. Share specific examples of how you've tackled complex data challenges in the reinsurance or life insurance sectors.
Show Off Your Skills: Don’t forget to mention your hands-on experience with data manipulation and analysis. Highlight any projects where you’ve used Python libraries like Pandas and NumPy to automate tasks or provide actionable insights. We love seeing real-world applications!
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 this exciting opportunity. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and DBT skills. Be ready to discuss specific projects where you've used these technologies, especially in the context of asset management or reinsurance. Prepare to demonstrate your knowledge of data manipulation and analysis techniques.
✨Showcase Your Financial Acumen
Since this role is heavily focused on financial services, be prepared to talk about your experience in the asset management sector. Highlight any relevant projects you've worked on, particularly those involving trading data or financial securities, and how your insights influenced decision-making.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've tackled complex data challenges, especially in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Effectively with Stakeholders
As you'll be working closely with senior business experts, practice articulating your thoughts clearly and confidently. Prepare to discuss how you've engaged with stakeholders in the past, ensuring you can convey technical information in an accessible way.
