Data Analyst Engineer Remote
Job description
Do you have a passion for data and analytics? Are you excited about the prospect of working with cutting-edge data platforms and using them to provide more access and insights than ever before? We are seeking a Data Analytics Engineer to join our team and help us unlock the full potential of our data.
You will work closely with our Data team to ensure that data is correctly processed and analysed. You will also learn to develop and maintain ETL processes and data integration, as well as optimize data pipelines for performance, scalability and reliability. With your strong understanding of data modeling and data visualisation, you will play a key part in shaping our data strategy and driving our business forward.
This is the perfect role for an ambitious Data Analyst who wants the space and support to develop on their existing skills and move closer to Data Engineering as a whole. This is a role where you won’t be Siloed, you’ll have the opportunity to work end to end on our entire data platform, in a team that is set to grow, while working closely with senior stakeholders across the business.
If this is interesting to you, and speaks to you, read on, and make sure that of all the Job ads you read, this is the one you click apply to!
About Selina
At Selina Finance, our mission is to give people access to the wealth they have in their homes, and we’re doing that by building a next-generation digital lender – starting with a home equity loan product. More than £2tn equity value is locked up in UK homes, while homeowners still need to rely on high-interest rate consumer loans, credit cards or overdrafts. We believe this is unfair and unnecessary. We offer a financing product unlike anything else out there, one that is as flexible as a current account, as affordable as a mortgage, and as easy to apply for as a consumer loan.
We are building an incredible team and culture of high performance, development, reward and recognition. We announced our Series B earlier in January this year, ready for the next phase of our adventure and this is where you come in!
What will you be doing?
Responsibilities:
Take a proactive approach to producing dashboards that allow our senior management to extract better insights from it and make data informed decisions
Work with our existing Data engineers to own the data roadmap, data platform and data warehouse, and develop our analytical codebase using DBT
Improve the quality of existing legacy dashboards and support migrating them to a new BI platform
What we offer
£50- £70k base salary, dependent on experience
Bi-annual Bonus
Growth Shares
25 days annual holiday
Annual L&D budget
Cycle to work scheme
3% pension contribution
Monthly socials
Free access to mental health support via Spill
A choice of benefits that work for you courtesy of our benefits platform, Thanks Ben ️ ❤️
Annual £60 cycle allowance for Santander cycles or Evans (via Thanks Ben)
Placed in the top 30 of Tempos 100 best start-ups to work for 2023
We are an equal opportunities employer and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
We also welcome and encourage applications from traditionally underrepresented categories, and provide feedback to any candidate we interview, even if that feedback is speaking to another candidate being more suitable for the role.
What about you, what do you need to bring/have?
Demonstrated ability to complete complex data analysis using SQL
Experienced in creating dashboards and visualisations using BI tools
Be proactive and the ability to take ownership by identifying and “low hanging fruit” and executing on it
Strong communication skills and the confidence to be able to be consultative with stakeholders
Things that would be nice for you to have (please do not let any of these points prevent you from applying):
Familiarity with software engineering in general (version control, git, agile development etc.)
Familiarity with Python
Familiarity with Docker, cloud computing and GCP
Familiarity with Microservice and API integrations
Have experience of migrating BI platforms and working with legacy BI dashboards
