Senior Data Analyst

We are looking for an experienced Senior Data Analyst to join our growing team. This role involves delivering data-driven insights to support business decisions in a fast-paced, hands-on environment. The ideal candidate is comfortable with both large and small tasks, and can help scale solutions as the company grows, while advancing your own career.

Here's a taste of what you'll be doing:

Consultative Leadership: Spearhead initiatives with cross-functional stakeholders, employing a consultative approach to distil complex requirements into robust data / analytics approaches.

Data Mastery: A trusted data expert, knowing what data is available, and which analytical technique is most relevant, ranging from tableau dashboards through to segmentations and root cause analysis

Impact Driven: Passionate about impact, whether unpacking the why, delivering optimal customer intelligence data products or delivering powerful insights empowering the organisation to be data driven

Insightful Storytelling: Comfortable in "storytelling" and visualisation, delivering insights and recommendations in a clear, relevant and action-oriented manner to senior members of the organisation

Technical Project Leadership: Taking ownership of the more complex projects, comfortable with ensuring right first time outputs on time employing best practice principles. Oversee these from inception to completion with minimal oversight.

Talent Development: Actively coach and mentor more junior data analysts. Foster a culture of innovation, best practices, and peer-review within the team.

Are we the perfect match?

4+ years of experience as a Senior Data Analyst with advanced SQL and Python skills.

Strong problem-solving abilities and a high level of curiosity.

Expertise in advanced analytics techniques such as modelling and segmentation.

Excellent communication skills, with the ability to present to non-technical audiences.

Comfortable in fast-paced, ambiguous environments and collaborative team settings.

It would be great if you had:

Experience in the retail energy industry, even better if you are familiar with market-wide half-hourly settlement.

Experience with Git, or similar, using branches and pull requests for collaborative development.

Experienced working with cloud platforms, to build data pipelines, ideally DataBricks.

Strong experience with visualisation tools, preferably Tableau.

Here's what else you need to know:

Role may close earlier due to high applications

We'll have regular team socials and lively team chats

Competitive salary

Location - London (E.ON Next, 47-53 Charterhouse Street, Farringdon, London, EC1M 6PB) with travel to our other sites when required.

Working environment: Flexible hybrid working - a blend of in the office and home working.

Work life balance - we work Monday-Friday 9AM-5PM to service our customers and make sure they have an unforgettable experience.

26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it.

Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years)

Excellent parental leave allowance.

The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year.

We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career.

For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider

We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone.

We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times