Analytics Engineer in FinTech Data Science team ensuring data accuracy and usability. Transforming raw data into reliable models for business monitoring and insights.
About the role
- Junior Analytics Engineer working on data projects that influence business decisions in Lendable, a leading fintech firm. Join a growing team to build data models and frameworks.
Responsibilities
- Take ownership across a broad remit.
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems.
- Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting.
- Work on meaningful projects that directly influence how data is leveraged for critical business decisions for Credit Cards.
- Ensure data products are robust, reliable, intuitive, and valuable to end users across the business.
Requirements
- Strong problem-solving skills and a detail-oriented approach to data integrity and quality.
- Knowledge and some experience with using SQL and version control (github).
- Understanding of data warehouse concepts and/or experience (or strong interest) in designing data models.
- Willingness and aptitude to learn quickly.
- 1-2 years experience in an engineering/analytical role.
- Strong communication skills.
- Curious mindset.
- Exposure to a cloud databases (e.g., BigQuery, Snowflake, Redshift) (desirable but not essential).
- Experience or interest in fintech or financial services data (desirable but not essential).
- Familiarity with DBT (desirable but not essential).
Benefits
- Best-in-class compensation, including equity.
- You can work from home every Monday and Friday if you wish.
- Fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- Coverage when it comes to private health insurance.
- Equal-opportunity employer looking to make Lendable the most inclusive and open workspace in London.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Analytics Engineer developing and maintaining data models to support strategic decisions in Hostinger. Revolutionizing data use to enhance business insights and accessibility.
Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.
Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross - functionally to ensure consistent, reliable data for decision - making.
Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
Lead Risk Analytics Consultant at Wells Fargo focused on model governance and risk management strategies. Collaborate across teams to enhance system stability and mentor junior staff.