Company

Zerog - Ai In AviationSee more

addressAddressLondon, England
type Form of workFull Time
CategoryIT

Job description

About Lendable

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

> We're building one of the world’s leading fintech companies and are off to a strong start:

> One of the UK’s newest unicorns with a team of just over 400 people

> Among the top 10 fastest-growing tech companies in the UK

> Profitable since 2017

> Backed by top investors including Balderton Capital and Goldman Sachs

Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot )

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of these are held by big banks with dated systems and painful processes.

Join us if you want to

> Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

> Work in small teams of exceptional people , who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

> Build the best technologyin-house , using new data sources, machine learning and AI to make machines do the heavy lifting

About the role

This role will report directly to the Head of Data for collections and will work closely with the MD of Collections, providing the data visualisation tools needed to maintain and grow Lendable's collection strategy. You will be building and delivering the data pipelines and dashboards thatd rive the insight for decision-making of the senior leadership in Collections. There will be a chance to create a major impact byunderstanding, designing and implementing dashboardsthat convert data into actionable insights . Working closely with senior leadership to understand the information they need to build and maintain an industry-leading collections strategy that is data-driven.

What you need to succeed
  • You are motivated to work in afast-paced scale-up experience where change is standard rather than exception.
  • You have solid analyticalandproblem-solving skills with the ability to translate complex data into actionable insights.
  • You have worked with data engineers and understand best practices for building, documenting and maintaining data pipelines and dashboards.
  • You have a strong attention to detail and the ability to work with large datasets.
  • You have exceptional communication skills, with a proven track record of effectively liaising with senior stakeholders, i nterpreting their requirements and translating them into valuable, actionable BI
Your experience
  • Minimum of3 years of experienceas a Business Intelligence Analyst or similar role, preferably in thefinancial services or consumer credit industry.
  • Strong understanding ofextract, load, and transform(ELT) processes and experience with data integration and data warehousing concepts.
  • Proficiency in designing and developing interactive dashboards and reports using tools such as Tableau, Power BI, Looker or similar.
  • Experience working with DBT and Snowflake is highly desirable.
  • Advanced SQL skills for data manipulation and analysis.
  • Excellent communication and presentation skills to effectively convey complex information to both technical and non-technical stakeholders.
  • Ability to workindependently and collaborativelyin a fast-paced, agile environment.
  • Proficiency withGit version control system.
What you'll be doing
  • Design, develop, and maintain ELT processes to extract, load, and transform data from various sources into our data warehouse.
  • Create and maintain interactive dashboards, reports, and visualisations to effectively communicate insights to stakeholders.
  • Conduct thoroughdata validation and quality assurance to ensure the accuracy and reliability of reports and analyses.
  • Collaborate with data engineersand data scientists to optimise data models and improve data infrastructure.
Refer code: 2825704. Zerog - Ai In Aviation - The previous day - 2024-02-18 06:02

Zerog - Ai In Aviation

London, England
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