At a Glance
- Tasks: Design and optimise data pipelines, uncover trends, and develop dashboards using Palantir Foundry.
- Company: Join a well-trusted pharma client’s global analytics team.
- Benefits: Urgent rolling contract with visible impact and career acceleration.
- Other info: Collaborate with top minds and drive pivotal business decisions.
- Why this job: Shape the future of data analytics and solve real-world problems.
- Qualifications: Experience with Palantir Foundry, SQL, Python, and strong analytical skills.
The predicted salary is between 36000 - 60000 £ per year.
🚀 Data Analyst, Palantir Foundry — Well-Trusted Pharma Client Global Analytics Team!
As part of a future-focused analytics crew, you’ll shape smarter business outcomes by building, connecting, and visualizing data using the latest in Palantir Foundry — Pipeline Builder, Code Workbook, Fusion Sheet.
What You’ll Do
- Design, build, and optimize robust data pipelines in Palantir Foundry
- Uncover strategic business trends using exploratory data analysis (EDA)
- Develop dashboards and interactive models for senior stakeholders
- Partner with engineers, scientists, and business teams—powering automation and workflow innovation
- Troubleshoot and enhance existing processes for scalability and lasting impact
Ideal Candidate
- Proven experience with Palantir Foundry (especially Pipeline Builder, Code Workbook, Fusion Sheet)
- 2–3 years’ experience in data analytics roles
- Strong SQL, Python, and PySpark for hands-on data manipulation
- Familiarity with AWS (Glue, Redshift, Athena) and big data platforms like Spark/Hadoop
- Superb problem-solving, analytical, and communication skills
- (Bonus) Knowledge of Life Sciences, Pharma, or enterprise-scale data environments
Why Join?
- Urgent Rolling Contract starts after online interviews next w/c 13.10
- Shape the future of data analytics at a company where your impact is visible
- Access cutting-edge tech, solve real-world problems, and accelerate your career
- Collaborate with the brightest minds—your insights will drive pivotal decisions!
Please apply with your latest CV, having all your relevant skills, experience (in bold above), and feel free to email me the same with your daily rate as a B2B contract, and availability to interview marina.economidou@templeton-recruitment.com
Dr Marina Economidou, Senior Client Partner
Data Analyst - Palantir Foundry in Milton Keynes employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Join a forward-thinking analytics team at a well-trusted pharma client, where your contributions will directly influence strategic business decisions. Enjoy a collaborative work culture that fosters innovation and personal growth, while leveraging cutting-edge technology to tackle real-world challenges. With opportunities for career advancement and the chance to work alongside industry experts, this role offers a meaningful and rewarding employment experience in the heart of the pharmaceutical sector.
Contact Details:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Palantir Foundry in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Palantir Foundry. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, and any cool projects you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL, Python, and PySpark skills. Be ready to tackle some hands-on challenges that demonstrate your problem-solving abilities.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Analyst - Palantir Foundry in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights all the relevant skills and experiences mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t hold back on showcasing your expertise in Palantir Foundry and data analytics!
Showcase Your Projects:If you've worked on any cool projects using SQL, Python, or PySpark, make sure to include them! We love seeing real-world applications of your skills, especially if they relate to building data pipelines or dashboards.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and how it fits the role. Remember, we’re looking for someone who can communicate effectively!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your Tools Inside Out
Make sure you’re well-versed in Palantir Foundry, especially the Pipeline Builder, Code Workbook, and Fusion Sheet. Brush up on your SQL, Python, and PySpark skills, as these will likely come up during technical discussions.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used exploratory data analysis (EDA) to uncover business trends. Think about a project where your insights led to significant outcomes and be ready to explain your thought process.
✨Communicate Clearly and Confidently
Since you'll be partnering with engineers, scientists, and business teams, practice explaining complex data concepts in simple terms. Good communication can set you apart, so consider doing mock interviews to refine your delivery.
✨Research the Company and Industry
Familiarise yourself with the pharma industry and the specific challenges it faces. Understanding the context in which your data analytics work will take place can help you tailor your responses and demonstrate your genuine interest in the role.
