Data Lead (Analytics Engineering and Insights)

So Energy; Greater London; Hybrid; GBP 68,000 - 90,000; Full time

Job summary

A leading energy supplier in London is seeking a Data Lead – Analytics Engineering & Insights to enhance its analytics capabilities. In this hybrid role, you'll lead a team to develop decision-grade analytics by creating trusted data models and collaborating across departments. Candidates should have strong SQL and Python skills, a background in analytics engineering, and experience in stakeholder management. Companies are offering a competitive salary of £68,000-£90,000 with additional perks including a performance bonus and personalized development budgets.

Benefits

Up to 10% performance bonus

Annual salary reviews

Enhanced family leave

Personalized learning & development budgets

Birthday off

Qualifications

• Strong experience in analytics, analytics engineering, or advanced BI roles.
• Experience owning or contributing to semantic layers and BI tools.
• Strong understanding of experimentation concepts (A/B testing, hypothesis testing).

Responsibilities

• Lead the design and scaling of curated data models.
• Ensure analytics outputs are decision-focused and actionable.
• Partner with Product, Operations, Finance, and Technology leaders.

Skills

SQL

Python

Analytical thinking

Leadership

Stakeholder management

Education

Bachelor’s or Master’s degree in Data, Analytics, Computer Science, Statistics, Mathematics

Tools

Looker

Google Cloud

Job description

Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we’ll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us!

Salary Range: £68,000-£90,000

Location: Chiswick, London - Hybrid 2 days in office

Sponsorship: We are unable to offer sponsorship for this role

The Role

We are seeking an experienced Data Lead – Analytics Engineering & Insights to lead the next phase of maturity in our analytics function. This role is critical in enabling the business to move beyond reporting toward decision‑grade analytics, underpinned by trusted data models, consistent metrics, and scalable insight capability.

You will be responsible for leading the Analytics Engineering function - scaling curated facts, dimensions, and metrics, while also enabling the wider analytics team to generate insights that directly inform business decisions. Acting as a multiplier for our Data Science capability, you will ensure experimentation, forecasting, and analytical insight are grounded in robust, reusable data foundations.

Working closely with Product, Operations, Finance, and Technology leadership, this role bridges data engineering, analytics, and decision‑making, ensuring analytics outputs lead to real‑world action.

Reporting to Nethin Maharaj, Head of Data 👋

⭐ Why So Energy?

So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we’ve grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we’re not done! We’re on the road to a net‑zero future, and thanks to our partnership with ESB, we’re well on the way. We’re customer‑centric, tech‑led, and passionate about sustainability.

We’re driven to do our best for our customers, for each other, and for our planet. That’s why we’ve built a workplace culture that’s supportive, empowering, inclusive, and full of opportunities to grow and make an impact.

At So Energy, we take pride in our values‑driven culture. We live and breathe by our six core values that guide everything we do:

• Clear
• Honest
• Ambitious
• Inquisitive
• Caring
• Sustainable

What you’ll be getting up to in this role:

Analytics Engineering Leadership

• Lead the design and scaling of curated data models, including facts, dimensions, and metrics
• Own analytics engineering standards, documentation, and review processes
• Ensure consistent and trusted metric definitions across the organisation
• Oversee Looker semantic models and ensure reporting is built on robust foundations

Insight Enablement & Decision Support

• Enable scalable insight delivery by embedding experimentation and analytical thinking into the analytics team
• Act as a bridge between Analytics Engineers and Data Scientists, ensuring insight work is well‑framed and grounded in trusted data
• Support forecasting, experimentation, and decision‑support initiatives without becoming a delivery bottleneck
• Ensure analytics outputs are decision‑focused and actionable

People & Capability Development

• Lead, coach, and develop Analytics Engineers, supporting progression from BI to analytics engineering and insight work
• Identify and nurture individuals with the potential to grow into advanced analytics or insight‑focused roles
• Create clear career pathways and learning opportunities within the analytics function

Stakeholder Partnership

• Partner with Product, Operations, Finance, and Technology leaders to prioritise analytical work
• Translate business problems into structured analytical approaches and data requirements
• Act as a trusted advisor on metric interpretation and analytical confidence

Governance & Quality

• Ensure analytical outputs meet quality, consistency, and governance expectations
• Promote best practices around data integrity, metric trust, and responsible use of analytics

You’re a great match if:

• Bachelor’s or Master’s degree in Data, Analytics, Computer Science, Statistics, Mathematics, or a related field
• Strong experience in analytics, analytics engineering, or advanced BI roles, with exposure to decision‑led analytics
• Proven leadership experience managing analysts or analytics engineers
• Strong SQL and Python expertise and experience designing dimensional data models (facts, dimensions, metrics)
• Experience working with cloud data platforms (Google Cloud preferred)
• Experience owning or contributing to semantic layers and BI tools (e.g., Looker)
• Strong understanding of experimentation concepts (A/B testing, hypothesis testing, causal thinking)
• Ability to translate ambiguous business questions into structured analytical approaches
• Strong stakeholder management skills, with the ability to influence decision‑making at senior levels

Desirable Skills

• Experience operating in a product‑led or operationally complex environment
• Familiarity with forecasting, experimentation frameworks, or applied statistics
• Experience scaling analytics capability through standards, templates, and playbooks
• Exposure to data science workflows and collaboration with Data Scientists
• Understanding of modern data operating models (Analytics Engineering, Metric Stores, Semantic Layers)

Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart. We encourage you to apply and tell us about your journey, even if you don’t tick all the boxes.

📅 Our Hiring Process:

1. Talent Screen - 20 minutes Teams call
2. Hiring Manager competency‑based Interview
3. Final stage interview and presentation

APPLICATIONS CLOSE ON 6th February 2025

🤝What’s in it for you?

Smart Working Charters

Hybrid working – Each team has its own Smart Working Charter. Ask your talent partner for more details.

Growth & Development

• Personalised learning & development budgets – to support your growth journey, L&D buddies to guide you along the way.
• Internal learning platform – with thousands of valuable resources.

Pay & Reward

• Up to 10% performance bonus – based on company and personal performance.
• Annual Salary Reviews – to ensure we remain competitive in the market.
• Commitment to being a real living wage provider.

Time Off That Matters

• Your birthday off – it only comes once a year, so enjoy it!
• 3 So Giving Days – spend time supporting a cause you care about.
• Enhanced family leave – supporting you through every life chapter.

Health & Wellbeing

• Unmind – Access to personalised coaching or therapy to support your mental wellbeing.
• Physical Support – Free eye tests, flu vaccinations.
• Access to Perkbox – Additional wellbeing & savings benefits.
• Menopause Policy – To ensure all employees are being taken care of.

Belonging & Recognition

• Affinity Groups – join one of our employee groups to foster meaningful connections.
• Bi‑annual Value Awards – because your hard work deserves recognition.
• Monthly events – to find balance and bring our team together.
• Charitable Fundraising – to give back to our communities.

🧩 Diversity, Equity, Inclusion & Belonging

As a Disability Confident Committed employer, we encourage applications from everyone, and we will ensure fair and accessible recruitment for all. At So Energy, we’re committed to cultivating an environment that promotes diversity, equity, inclusion, and belonging. We are a global community, and we believe our unique qualities should be celebrated as they are critical to our innovation. It’s essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn’t just an initiative at So Energy. We strive to embed it throughout our entire culture.