At a Glance
- Tasks: Transform business challenges into data solutions using Palantir Foundry.
- Company: Join a leading reinsurance firm focused on innovation and data-driven insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on agile teamwork and career advancement.
- Why this job: Make a real impact by driving insights and improving decision-making across the business.
- Qualifications: Strong analytical skills and experience with data transformation tools like SQL and Python.
The predicted salary is between 50000 - 70000 £ per year.
A Palantir BA is a hybrid consulting + data role, responsible for turning business problems into scalable data solutions on Foundry and driving insights across reinsurance operations. Act as a bridge between business stakeholders and Palantir Foundry data platform, helping translate business problems into data-driven solutions and workflows.
Focus: Data analytics, transformation, and business insight generation
Platform: Palantir Foundry (enterprise data integration & analytics)
Domain: Reinsurance (risk, underwriting, finance, reporting)
Roles & Responsibilities
- Business & Data Translation
- Translate business requirements into data pipelines, models and workflows
- Work closely with stakeholders (Underwriting, Finance, Risk) to identify use cases
- Break down complex problems into structured datasets and analytical workflows
- Stakeholder & Delivery Management
- Act as a liaison between business and technical teams
- Drive end-to-end use cases on Palantir Foundry
- Collaborate in cross-functional, agile teams
- Communicate insights clearly to senior stakeholders
- Data Engineering + Analysis (Foundry Context)
- Design and manage data transformation pipelines (ETL, SQL, Python)
- Integrate multiple enterprise data sources (claims, underwriting, actuarial, finance systems)
- Analyse large, complex datasets to identify trends and insights
- Support data modelling and ontology-driven design (Foundry concepts)
- Data Quality, Testing & Governance
- Maintain governance, lineage, and traceability (key Foundry capability)
- Ensure data quality, consistency, and reliability across pipelines
- Solutioning & Insights
- Provide actionable insights for business decision-making
- Recommend: Process improvements, System enhancements, Automation opportunities
- Enable data-driven decision-making at scale across business units
Required Skillsets
- Core Technical
- Palantir Foundry
- Business & Functional
- Strong analytical and problem-solving skills
- Ability to translate business needs into technical/data requirements
- Understanding of: Insurance / reinsurance / BFSI processes, Financial or risk data, Stakeholder communication, Structured thinking & problem decomposition
- Palantir Foundry skills to manage large-scale enterprise data across: Underwriting, Pricing, Claims, Risk & capital modelling, Finance and reporting
Key expectations:
- Handle complex interconnected risk datasets
- Enable enterprise-wide data visibility and governance
- Support AI-enabled decision making
Palantir Business Analyst in London employer: Ampstek
As a Palantir Business Analyst, you will thrive in a dynamic and collaborative work environment that values innovation and data-driven decision-making. Our company offers exceptional employee growth opportunities through continuous learning and development, while fostering a culture of inclusivity and teamwork. Located in a vibrant area, we provide unique advantages such as access to industry-leading technology and the chance to work on impactful projects within the reinsurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Palantir Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the reinsurance and data analytics space. Use LinkedIn to connect with current Palantir employees or alumni from your university. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Palantir Foundry. This gives you a chance to demonstrate your analytical prowess and problem-solving skills in a tangible way.
✨Tip Number 3
Prepare for the interview by understanding the business side of things. Brush up on reinsurance processes and how data impacts decision-making. Being able to speak the language of both business and tech will set you apart.
✨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 are proactive about their job search!
We think you need these skills to ace Palantir Business Analyst in London
Some tips for your application 🫡
Know the Role Inside Out:Before you start writing your application, make sure you really understand what a Palantir Business Analyst does. Dive into the job description and highlight how your skills match up with the responsibilities. We want to see that you can bridge the gap between business needs and data solutions!
Tailor Your Application:Don’t just send a generic CV and cover letter! Customise your application to reflect the specific skills and experiences that relate to the role. Use keywords from the job description to show us you’re the perfect fit for turning business problems into data-driven solutions.
Showcase Your Analytical Skills:Since this role is all about data analytics and problem-solving, make sure to highlight any relevant projects or experiences where you've successfully analysed complex datasets. We love seeing how you’ve used data to drive insights and decision-making in past 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 shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Ampstek
✨Know Your Data Inside Out
Make sure you’re familiar with Palantir Foundry and how it integrates with reinsurance operations. Brush up on your data analytics skills, especially in SQL and Python, as you'll need to demonstrate your ability to manage and transform data effectively.
✨Understand the Business Context
Get a solid grasp of the reinsurance industry, including underwriting, risk, and finance processes. This will help you translate business problems into data-driven solutions during the interview, showing that you can bridge the gap between technical and business teams.
✨Prepare for Scenario-Based Questions
Expect to tackle real-world scenarios where you’ll need to break down complex problems into structured datasets. Practise articulating your thought process clearly, as this will showcase your analytical skills and structured thinking.
✨Communicate Like a Pro
Since stakeholder communication is key, practise explaining technical concepts in simple terms. Be ready to discuss how you would present insights to senior stakeholders, ensuring they understand the value of your data-driven recommendations.
