At a Glance
- Tasks: Transform people data into actionable insights and build reliable reporting systems.
- Company: Join a pioneering tech company revolutionising the energy sector for a sustainable future.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with high ownership and visibility in your role.
- Why this job: Make a real impact on shaping a smarter, greener energy system.
- Qualifications: 1-2 years in data analytics; strong skills in Google Sheets, Excel, SQL, and Python.
The predicted salary is between 35000 - 45000 £ per year.
Help us use technology to make a big green dent in the universe!
Kraken powers some of the most innovative global developments in energy.
We’re a technology company focused on creating a smart, sustainable energy system.
From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
It’s a really exciting time in energy.
Help us make a real impact on shaping a better, more sustainable future.
Why this role exists
Right now, our people data setup is… let’s say early stage. We operate across 20 countries, but:
- data sits in different places
- reporting is mostly manual
- definitions aren’t always consistent
- dashboards are limited
- and we’re not getting the insights we should be
At the same time, the business is growing fast and expects proper, data-backed decisions — especially around hiring, retention, compensation, and benefits.
This role exists to help us go from reactive spreadsheets to actual people insights.
- What you’ll do
- Get control of the data
- Map out what people data we have (and where it lives)
- Clean it up, structure it, and make it usable
- Coordinate across functions to maintain data quality maintenance
- Help define consistent metrics (headcount, attrition, hiring, etc.)
- Work with People Ops, Finance, and systems owners to fix gaps
- Build reporting we can trust
- Move us away from one-off reports and manual pulls
- Create repeatable, reliable reporting
- Own core dashboards (headcount, attrition, hiring, diversity, etc.)
- Make sure numbers actually reconcile across teams
- Upskill the team on basic reporting and use of tools
- Create dashboards people will actually use
• Build simple, clear dashboards for
- People team
- Leadership
- Focus on insight, not just data dumps
- Use modern tools (BI platforms, not just spreadsheets)
- Support compensation & benefits analytics
• Partner closely with C&B on
- Gather all the benefit data from various sources and systems
- Benefits usage and cost analysis
- Pay analysis
- Help us get more AI / data-savvy
• Bring ideas on how we can use AI/tools to
- automate reporting
- surface insights faster
- reduce manual work
- We’re not looking for hype - just practical improvements that work
- Improve how our systems talk to each other
- Work across HRIS, ATS, payroll, and other tools
- Help improve data flows and integrations (with support from tech where needed)
- Be the person who actually understands how people data connects end-to-end
- What you’ll have
- 1-2 years experience working with data, analytics, or BI
- Preferably come from a tech, Saa S, or product-led environment
- Built dashboards and reporting in a real business setting
- Strong google sheets and excel user
- Essential to be comfortable with SQL and know the basics of python or dbt modelling
- Are comfortable working in messy or evolving data environments
You don’t need to come from HR or People Analytics – we’re happy with candidates from broader data/analytics backgrounds, or fresh graduates who are interested in applying those skills to people data.
- You’re good at
- Turning unclear questions into structured analysis
- Explaining data in a way non-data people understand
- Spotting inconsistencies and fixing them
- Balancing detail with speed (not over-engineering everything)
- Bonus if you
- Have exposure to people/HR data, compensation, or workforce analytics
- Have worked with multiple systems and data sources
- What This Role Is (and Isn’t)
- This is
- a hands-on builder role
- a chance to shape people data from the ground up
- high ownership, high visibility
- This isn’t
- a pure reporting role
- a perfectly set-up data environment
- a big team (you’ll be the go-to person for this)
- What Success Looks Like (first 12 Months)
- We have trusted, consistent people metrics
- Core dashboards are in place and actually used
- Manual reporting is significantly reduced, and colleagues can self serve
- People & reward decisions are backed by data
- Leaders can answer basic people questions without asking 3 different teams
- Equal Opportunity Employment
We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Privacy and Data Notice
Our Applicant and Candidate Privacy Notice and Artificial Intelligence Notice, Website Privacy Notice and Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website.
These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent.
By applying, you acknowledge that you’ve read, understood and consent to these terms.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
These tools assist our recruitment team but do not replace human judgment.
Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
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StudySmarter Expert Advice🤫
We think this is how you could land People Data & Analytics Specialist in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Kraken when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Kraken.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Kraken.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Kraken’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace People Data & Analytics Specialist in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Kraken, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Kraken aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Kraken
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
