At a Glance
- Tasks: Create high-quality analytical reports and dashboards while collaborating with teams.
- Company: Join a dynamic UK fintech revolutionising banking in emerging markets.
- Benefits: Competitive salary, share options, and exciting start-up perks.
- Other info: Opportunity for growth in a fast-paced, empowering environment.
- Why this job: Be part of a fun, innovative team transforming the banking experience.
- Qualifications: 3+ years in data analytics, strong SQL skills, and BI tool experience.
The predicted salary is between 50000 - 60000 £ per year.
About Fintech Farm
Weare a UK fintech creating successful neobanks inemerging markets inpartnerships with local traditional banks.
Our success builds upon abest-in-class product, customer experience, emotional engagement, viral marketing and deep credit decisioning expertise.
One ofour founders had previously co-founded ahighly successful Eastern European neobank with amulti million customer base.
Welaunched our first market with Leobank in Azerbaijan in2021, where wehave already established market leading positions.
Our next market was Vietnam, where welaunched Liobank inearly 2023 and also gained solid traction.
Wehave afew more new markets inthe pipeline for the next 12months, and weare starting tobuild the team there.
Why Fintech Farm isagreat place tobe
Our ambition.
Weare looking tobecome aleading consumer digital bank brand ineach market weoperate making iteasy for consumers tointeract with their money.
You could beapart ofthis exciting journey.
Our culture.
Customers.
Wealways goabove and beyond toprovide anamazing customer experience.
Weserve our customers the way wewould want our mom tobeserved.
And who said that banking has tobeboring?
Wemake our apps not just easy but fun touse.
People.
Weare all business partners inour company.
Each ofus thinks big, acts asifweown the place, and never takes "No" asananswer.
Wework with strong individuals whom weempower and trust rather than micromanage.
Common sense rather than formal policies prevails inall that wedo.
Wealways stay curious and open-minded.
Weembrace the We over Me culture.
- What You Will Be Doing
- Ensure the high quality ofanalytical reports and dashboards.
- Verify own results toensure they meet the set requirements and quality standards.
- Detail and clarify requirements for analytical tasks from business clients, ensuring their full and accurate understanding bythe team.
- Organize and conduct code reviews toimprove code quality and facilitate knowledge sharing within the team.
- Develop and implement best practices and standards for data handling within the team.
- Collaborate with other departments and teams tooptimize business processes and enhance the efficiency ofanalytical activities.
Who you are
- Atleast 3+years ofexperience indata analytics.
- Profound knowledge of SQL and experience with database management systems, such as Click House.
- Experience with BItools, including Looker Studio, and the ability tocreate informative dashboards.
- Experience incode review and applying best practices incode writing.
- Ability toeffectively communicate with both technical experts and business partners.
- Ability toquickly understand business processes and translate business requirements into analytical tasks.
- Experience with Git and DBT isconsidered anadvantage.
- What weare offering
- Competitive salary negotiable depending onthe candidate level
- Share options
- We are still a start-up and more benefits are on the way
- #J-18808-Ljbffr
Data analyst Global IT # sql # clickhouse employer: Fintech Farm Ltd
Fintech Farm is an exceptional employer, offering a dynamic work culture where innovation and collaboration thrive. As a UK fintech startup, we empower our employees to think big and act like owners, ensuring that every team member contributes to our mission of revolutionising banking in emerging markets. With competitive salaries, share options, and a commitment to personal growth, joining us means being part of an exciting journey in a fun and engaging environment.
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
