hackajob
Data Lead - Commercial Analytics

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hackajob is collaborating with Octopus Energy to connect them with exceptional professionals for this role.
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 lead the GB Commercial Analytics “pod”, owning pricing operations, commercial reporting, and growth insight to drive sales, 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll do
- Set priorities and guide work & output of a small, high-performance data team.
- 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.
- Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide forecasting inputs, KPI reporting, margin analysis and strategic support.
- Contribute to and collaborate with our global working groups to ensure and enable aligned reporting and shared analytics projects.
- Champion data best practices, integrity and continuous improvement in analytics engineering, tools and processes.


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What you'll have
- Proven experience mentoring and developing data professionals.
- Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
- Hands-on expertise with modern data platforms and analytical tools (see our stack below).
- 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 GitHub and CircleCI
- Infrastructure on AWS, deployed with Terraform / Spacelift
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