Client Data & Analytics Lead
Listed on 2026-01-13
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
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Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy.
About KrakenWe’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.
Who are we looking for?We’re looking for an influential data and analytics professional who’s excited to work directly with clients—helping them build modern data capabilities, coach on data best practices, and guide them to become transformative with Kraken data.
You should bring experience playing a lead role on a high‑performing analytics or data team; a love of working with clients; and a passion for driving the clean energy transition. (Energy experience nice‑to‑have, but not required.)
The roleYou’ll work directly with Kraken clients to develop modern, transformative data and analytics capabilities as part of their broader Kraken transformation.
What you’ll do- Guide clients in redefining critical reporting and analytics to use new Kraken data and concepts, through working sessions, trainings, and occasional SQL/BI examples
- Coach client data teams on best practices and help them spot gaps in skills, roles, tools, or process
- Help clients identify reporting & analytics outcomes they need Kraken to drive and partner with product to deliver these
- Train Kraken’s broader client delivery team on how to ask effective data questions and leverage data to drive business impact
- 5+ years of experience in data analytics, business intelligence or related field (e.g., analytics manager or director; data consultant, lead data analyst; analytics engineer)
- Familiarity with SQL and modern BI tools – enough to recognise and speak to what “good” looks like & construct examples
- Excellent communications, collaboration and presentation skills
- Strong grasp of modern data practices (team structure, tools, ways of working)
- Experience working in an agile, product‑led context
- Excitement for a fast‑paced, high‑autonomy, fun environment
As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. 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. U.S.‑based candidates can learn more about their EEO rights here.
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HiringProcess
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgement. 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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