At a Glance
- Tasks: Lead data analysis to drive pricing strategy and customer insights.
- Company: Join Octopus Energy, the UK's largest energy retailer with a vibrant culture.
- Benefits: Competitive salary, flexible work options, and unique employee perks.
- Other info: Be part of a top-rated workplace focused on collaboration and growth.
- Why this job: Make a real impact in the energy sector with innovative data-driven strategies.
- Qualifications: Experience in data analysis, strong leadership, and communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Introduction
In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK’s largest energy retailer and a well-loved brand, serving more than 8 million customers.
Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention.
We continue to lead and redefine the energy market through innovative time-of-use tariffs and data-driven commercial strategies that transform how customers engage with energy.
We empower customers with dynamic pricing and "Intelligent" EV charging, rewarding them for shifting consumption to greener, cheaper periods.
Role Summary
You will be the leading analyst in the GB Commercial Analytics “pod”, delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction.
You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands-on technical expertise with strong team leadership.
- Own end-to-end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers.
- Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team.
- Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight.
- Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives.
- Set priorities, coordinate and review the work of a small, high-performance team of data analysts.
- Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support.
- Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects.
- Champion data best practices and continuous improvement in analytics engineering, tools and automated processes.
- Hands-on expertise with modern data platforms and analytical tools (especially SQL and python) - see our full stack below.
- Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
- Proven experience mentoring and developing data professionals.
- Strong communication skills to influence non-technical stakeholders and senior leadership.
- A track record of delivering actionable insights that drive measurable business impact.
- 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, pandas and SQL in Jupyter notebooks for analysis
- dbt and Databricks data platform with Delta Lake
- Lightdash as our BI tool and semantic layer
- Streamlit for interactive data applications
- Airflow for orchestration
- Kubernetes for application deployment
- CI/CD with Git Hub and Circle CI
- Infrastructure on AWS, deployed with Terraform / Spacelift
- Why You’ll Love It Here
- Salary discussions are welcome on a call with a recruiter to ensure the package matches your experience and the right octofit.
- Octopus Energy Group has a unique culture, built on autonomy, collaboration, and ownership, with recognition and perks that align with your contributions.
- We were named the UK's top company to work for and ranked in the top ten in the Sunday Times Best Places to Work 2024.
- Our benefits include access to Octopus Employee Benefits.
- If this sounds like you, we’d love to hear from you.
Are you ready for a career with us?
We aim to provide the tools and environment you need to unleash your potential.
If you need accommodations or have a preference, let us know so we can tailor the interview process for comfort and maximum impact.
Equal opportunity statement: Across Octopus, we’re looking for genuinely decent people who are honest and empathetic.
Our people are our strongest asset, and we are committed to providing equal opportunities in an inclusive work environment for everyone.
#J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - Commercial Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Octoenergy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Analyst - Commercial Analytics at Octoenergy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Octoenergy.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Analyst - Commercial Analytics at Octoenergy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Analyst - Commercial Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Octoenergy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Octoenergy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Octoenergy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Octoenergy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
