Data Analyst (Credit)
About the job
Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need loads more people to help us make our vision a reality.
This could not be a better time to join Octopus Energy. We are already recognised as a global leader in the fight to decarbonise the planet by revolutionising what’s possible in energy - including investments in renewable energy supply, renewable energy generation, smart energy networks, EVs, heat pumps, etc. The government's new green initiatives and the recent investment by Al Gore’s Generation Fund will propel us further and faster.
There has never been a more important moment to join our credit risk team. The energy sector is going through a period of once-in-a-generation volatility. Businesses and households are facing higher energy prices than they ever have before. For these reasons we are looking to add to our credit risk team with this new role. This team sits at the heart of everything we do to support customers that are struggling with their bills. We’re unique because we are genuinely a hybrid of a few different skills and mindsets:
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Data analytics is our core skillset. Everyone in the team is very strong in this area
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We have a firm understanding of the needs of our customers and the business
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We work closely with the tech team, because we’re a tech company, so this how we solve customer problems efficiently at scale
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We work closely with our operations teams who are the people that speak directly to customers
What You'll Do
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Take ownership of our management of customers who are struggling with their payments
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Deep dive investigations into data in order to surface insight for decision making
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Develop our reporting suite through the latest BI tools & technology stack
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Develop our empathic approaches towards vulnerable customers
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Create strategies to identify and prevent first party and third party fraud
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Develop our machine learning models & policies that drive sophisticated decisions
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Proactively identify new areas of opportunity
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Challenge the status quo in terms of KPIs, objectives & strategy
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Communicate complex data concepts effectively and confidently
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Build great relationships with Collections, Ops, Technology, Finance, and other stakeholders
What You'll Have
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Excellent SQL skills
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A drive to solve problems using data
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2-5 years experience in data analytics in a consumer-facing business
What would be a bonus:
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Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.)
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Familiarity with Git
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Data visualization tool (Tableau, Looker, PowerBI or equivalent)
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DBT
Why else you'll love it here
As published by lever · 5 questions · 4 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website, What gender do you identify as?, What ethnicity do you identify as?Please select the ethnicity you identify most with, Do you identify as neurodiverse?
Pick from a list (1)
- We’re proud to be a registered visa sponsor at Octopus Energy. We consider sponsorship on a case by case basis and while we're sorry we are not able to offer it for every role, understanding your right to work status helps us explore what options might be open for you. Could you please tell us what’s your current right to work status?
Written answers (4)
- Before your skills and experience, we’re looking for the right kind of person – the kind who is utterly passionate about our mission and who thrives working how we work. So, please let us know why the Octopus Energy Group stands out to you?
- Can you please share your salary expectations (The reason why we ask because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - however it's important to make sure we aren't wasting your time if your expectations are too different)
- Please provide an overview of your SQL experience.
- Please outline your experience using Python, Git, dbt, and BI platforms (Tableau, Looker, Power BI). Feel free to highlight equivalent technologies if applicable. These are not mandatory, so no need to cover them all.