Data Analyst

Orbital; England; On-site; GBP 40,000 - 50,000; Full time

Job summary

A fintech startup in the UK is seeking a Data Analyst to innovate cross-border payments solutions. You will leverage your SQL expertise and strong analytical skills to develop data models, visualizations, and insights that empower stakeholders. The ideal candidate thrives in a dynamic startup environment and holds a degree in STEM. Join us to help redefine global payments!

Qualifications

• Professional experience with SQL.
• A background in accounting with understanding of accounting principles.
• Experience within an Agile environment is desirable.

Responsibilities

• Utilise a modern tech stack to analyze and query databases.
• Create report and dashboard visualisations.
• Communicate insights to stakeholders.

Skills

SQL

Analytical skills

Communication

Problem solving

Attention to detail

Education

Bachelor’s or Master’s degree in STEM or Computer Science

Tools

Tableau

Python (Pandas, Numpy)

AWS tools (Redshift, DynamoDB)

Job description

Overview

Orbital is on an exciting mission to revolutionise global cross-border payments by innovatively combining traditional fiat banking rails with stablecoins over blockchain rails for a variety of use cases. Our class leading B2B payments platform offers multi-currency e-money accounts (corporate IBANs) combined with a suite of digital assets services. Our company sits at the frontier of payments & fintech, by intersecting blockchain and traditional (fiat) financial services, and is leading the way to bridging those two worlds for corporate enterprises globally.

We believe blockchain technology is firmly here to stay, and we want to be the first to bring a combined offering of fiat & crypto payment services under one exciting platform. Learn more about our team and company story here.

What is the purpose of this role in the delivery of our mission?

As a Data Analyst, you will bring a curious mindset, a thirst for knowledge and a hunger for fearless experimentation in new and interesting ways to meet our most pressing data challenges. You are a self-starter and effective communicator to share stories through data and empower colleagues with the ability to utilise data.

Responsibilities

• Utilise a modern tech stack to analyse and query databases
• Create report and dashboard visualisations to show insights from our data
• Communicate insights to stakeholders across the organisation
• Problem solve and business analysis to create requirements for product change
• Share and implement new methods to empower the usage of data
• Liaise with stakeholders across the business to gather reporting requirements
• Opportunities to learn and develop your understanding of applications and transforming data landscape
• Build the data products and models
• Documenting business processes and code

Scope of accountability

• Develop and owning data models, dashboard and reporting
• Business analysis and the query of databases
• Ownership of Jiras

Essential skills, qualifications and experience

• Professional experience with SQL
• A background in accounting with understanding of accounting principles
• Experience and understanding of logical data modelling
• Experience within an Agile environment/Atlassian tools are desirable
• A strong attention to detail and quality, especially as it applies to data
• You are a clear and confident communicator
• You are a self starter who can take proud ownership of your work
• Demonstrate ability to manage stakeholder expectations
• Have passion working in a dynamic and growing start-up environment that is tight-knit, challenging and fun
• You have strong analytical, organisational, and prioritisation skills, with a belief in writing documentation as part of SQL queries

Desirable skills and experience

• Bachelors or Master’s degree in STEM or Computer science
• 2+ years experience in data
• Previous experience in a Tech, Finance, or product firm is desirable
• Advance knowledge and experience in SQL
• Experience with BI tools (Metabase, Tableau, PowerBI, Looker)
• Nice to have Python (Data-frames - Pandas, Numpy)
• Experience in AWS tools desirable (Redshift, DynamoDB)
• Experience using data infrastructure tools is desirable (Stitch, DBT, Fivetran)