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- Tasks: Transform energy data into actionable insights and drive decision-making across teams.
- Company: Join a pioneering company revolutionising the energy market with transparency and fairness.
- Benefits: Enjoy a competitive salary, stock options, flexible remote work, and generous holiday allowance.
- Why this job: Be part of a mission to reshape energy systems and make a real impact on sustainability.
- Qualifications: Experience in data analytics, strong SQL skills, and a knack for storytelling with data.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
The predicted salary is between 75000 - 105000 ÂŁ per year.
Who We Are: We’re rebuilding the energy transaction system, making it transparent and fair. Our product, RED™, built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That’s 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we’ve saved UK businesses and generators over £20 million, powering a growing network of forward‑thinking companies. Backed by top-tier VCs, we’re creating a new category in energy – one that’s local, decentralised, and built on trust.
The Role: Do you want to work on one of the biggest problems of our time – how we make energy systems transparent, affordable, and powered by renewables? Energy data underpins everything we do, from pricing intelligence to customer success, and we’re building a team that can turn raw numbers into powerful decisions. We’re looking for a Staff Data Analyst to become the voice of data across the company, acting in a principal capacity without being weighed down by management. This is a pivotal role: you’ll partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision‑making. Your work will shape the future of our product and business.
Responsibilities:
- Partner with stakeholders: Collaborate with Product, Finance, Marketing, and Customer Success to translate challenges into analytical solutions.
- Create insights that drive action: Deliver in‑depth analyses that inform product, commercial, and customer decisions.
- Standardise metrics and dashboards: Establish consistent definitions and clear visualisations to make data accessible across the business.
- Champion data‑driven decision‑making: Advocate for better use of data and empower non‑technical colleagues to self‑serve.
- Shape the stack: Influence the evolution of our analytics tools and processes as the company scales.
- Mentor and elevate: Guide junior analysts, raising the bar for technical quality and storytelling.
- Collaborate cross‑functionally: Ensure data insights flow seamlessly between the data team, engineering, and business units.
Requirements:
Must‑Haves:
- Proven experience: Multiple years in data analytics and experienced in influencing decisions in a fast‑paced environment.
- Collaborative communicator: Skilled at working across technical and non‑technical teams.
- Technical depth: Strong SQL skills, experience with modern analytics stacks (dbt, Looker/Tableau, or similar technologies), and a solid understanding of Python.
- Data storytelling: Ability to simplify complex analysis into clear, compelling narratives and visuals.
- Business acumen: Comfortable with product impact analysis, commercial sizing, churn analysis, and performance measurement.
- Mentorship: Experience coaching junior analysts and setting high standards for analysis.
Desirable:
- Experience defining metrics frameworks at scale.
- Familiarity with energy markets, fintech, or climate tech.
- Exposure to BI and data adoption initiatives.
Benefits & Perks:
- Competitive salary - our current band for this role is ÂŁ94,500 or equivalent in local currency.
- Stock Options - everyone on the team has ownership in our mission.
- 25 days holiday + public holidays - Swap public holidays for ones that matter most to you.
- Remote & flexible working - We’re fully remote, distributed across Europe with clear core hours.
- Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup.
Interview Process: Our processes normally take around 3–4 weeks from first call to offer. First call with our Talent Team (30 min). Behaviour Interview with our Data Manager (45 min). Technical Interviews with the Team (60 min). Culture‑Add Interview with Stakeholders (45 min).
We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you.
Staff Data Analyst employer: tem
Contact Detail:
tem Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the energy and data analytics sectors on LinkedIn. Join relevant groups and participate in discussions. You never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for those interviews! Research tem’s mission and values, and think about how your skills can help them achieve their goals. Be ready to share examples of how you've used data to drive decisions in past roles.
✨Tip Number 3
Show off your data storytelling skills! During interviews, focus on how you can simplify complex analyses into clear narratives. This will demonstrate your ability to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to revolutionise the energy market.
We think you need these skills to ace Staff Data Analyst
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data analytics! Share specific examples of how you've used data to drive decisions in previous roles. We want to know how you can bring that passion to tem.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with our job description. Mention your SQL expertise, experience with analytics tools, and any relevant projects that showcase your ability to influence decisions.
Keep It Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon where possible. Make your application easy to read, and ensure your key points stand out. This will help us quickly see why you’re a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our mission at tem.
How to prepare for a job interview at tem
✨Know Your Data Inside Out
As a Staff Data Analyst, you'll need to demonstrate your technical depth. Brush up on your SQL skills and be ready to discuss your experience with analytics tools like dbt or Looker/Tableau. Prepare examples of how you've used data to influence decisions in previous roles.
✨Master the Art of Storytelling
Data storytelling is key in this role. Think about how you can simplify complex analyses into clear narratives. Practice explaining your past projects in a way that highlights the insights you uncovered and the impact they had on decision-making.
✨Collaborate Like a Pro
This position requires working closely with various teams. Be prepared to share examples of how you've successfully collaborated with both technical and non-technical colleagues. Highlight your communication skills and how you’ve translated challenges into analytical solutions.
✨Show Your Mentorship Skills
Since mentoring junior analysts is part of the job, think of instances where you've guided others. Be ready to discuss how you set high standards for analysis and helped elevate the team's performance. This will show your leadership potential even without a formal management title.
