At a Glance
- Tasks: Lead data teams to extract insights and enhance customer experience.
- Company: Join Octopus Energy, a leader in customer service and innovative energy solutions.
- Benefits: Enjoy a hybrid work model and a supportive environment for personal growth.
- Why this job: Be part of a mission-driven company aiming for Net Zero with cutting-edge technology.
- Qualifications: Experience in operational analytics and team leadership is essential.
- Other info: We value diverse perspectives and encourage everyone to apply.
The predicted salary is between 54000 - 90000 ÂŁ per year.
Get AI-powered advice on this job and more exclusive features.
London (GB)
Octopus Energy UK – Data /
Full-time /
Hybrid
Octopus has built worldwide renown for its customer service. We are the only one of the big six energy providers in the UK that has a positive net promoter score, and are now replicating that success across the world.
Underlying this success is the Kraken technology platform, designed from the ground up for the energy sector, and covering everything from billing to managing customer interactions.
We are looking for an experienced data leader to lead the data analysts & scientists supporting our operational teams, enabling them to extract key actionable insights from the Kraken platform, and help the teams to delight our customers. The successful candidate will report directly into the Global Head of Data Science, a member of Octopus
Energy Group senior leadership team.
This is a fantastic opportunity to work on core data problems at a company that is passionate about building great technology to change the way customers use energy and move us closer to Net Zero.
What You’ll Do
- Lead our UK-based data operations teams, developing and nurturing our analysts.
- Prioritise and coordinate the data teams supporting Octopus’ operations globally, balancing local needs with global opportunities.
- Sit as part of the UK operational team’s leadership and guide strategy and decisions through insights.
- Ensure the highest standards of data quality and integrity, guaranteeing that metrics are accurate, reliable, and actionable.
- Democratise data and analytical capabilities within the wider operational teams.
- Communicate complex data findings and recommendations clearly and concisely.
What You’ll Have
- Experience supporting operational teams in customer obsessed companies.
- Experience as a manager-of-managers.
- Hands-on experience working with cutting-edge tools such as those in our data platform stack (as below).
- Passion for both hands-on data work and leading teams to deliver insights.
- Broad experience applying various analytical techniques at companies of different sizes.
Our data platform stack
- We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:
- Python as our main programming language
- Databricks as our datalake platform
- Kubernetes for data services and task orchestration
- Terraform for infrastructure
- Streamlit for data applications
- Airflow purely for job scheduling and tracking
- Circle CI for continuous deployment
- Parquet and Delta file formats on S3 for data lake storage
- Spark for data processing
- DBT for data modelling
- SparkSQL for analytics
Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we’d love to help!
If this sounds like you then we\’d love to hear from you.
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we\’ll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we\’re looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Job function
Business Development and Sales
-
Industries
Utilities and Environmental Services
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Head of Operational Analytics employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Operational Analytics
✨Tip Number 1
Familiarise yourself with the Kraken technology platform and its applications in the energy sector. Understanding how this platform operates will allow you to speak confidently about how you can leverage data to enhance customer experiences.
✨Tip Number 2
Network with current or former employees of Octopus Energy, especially those in data roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience in leading data teams and how you've successfully implemented data-driven strategies in previous roles. Highlight specific examples that demonstrate your ability to manage and inspire teams while delivering actionable insights.
✨Tip Number 4
Stay updated on the latest trends in operational analytics and data management tools. Being knowledgeable about cutting-edge technologies like Databricks, Airflow, and Spark will show your commitment to continuous learning and innovation in the field.
We think you need these skills to ace Head of Operational Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in operational analytics and leadership. Emphasise your hands-on experience with data tools mentioned in the job description, such as Python and Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can transform customer experiences. Mention specific examples of how you've led teams to deliver actionable insights in previous roles.
Showcase Your Communication Skills: Since the role requires clear communication of complex data findings, include examples in your application that demonstrate your ability to convey technical information to non-technical stakeholders.
Highlight Your Leadership Experience: As this position involves managing teams, detail your experience in leading data operations or similar teams. Discuss your approach to nurturing talent and fostering a collaborative environment.
How to prepare for a job interview at Octopus Energy
✨Showcase Your Leadership Skills
As a Head of Operational Analytics, you'll be leading teams. Be prepared to discuss your experience in managing teams and how you've nurtured talent in the past. Share specific examples of how you've guided teams to success.
✨Demonstrate Your Technical Expertise
Familiarise yourself with the technologies mentioned in the job description, such as Python, Databricks, and Spark. Be ready to discuss your hands-on experience with these tools and how you've applied them to solve data problems.
✨Communicate Clearly
You'll need to convey complex data findings to various stakeholders. Practice explaining technical concepts in simple terms. This will show your ability to democratise data insights within operational teams.
✨Align with Company Values
Octopus Energy values honesty and empathy. Reflect on how your personal values align with theirs. Be prepared to share examples of how you've demonstrated these qualities in your previous roles.