FP & A Senior Data Analyst, Thredd
2+ days a week in office
Issuer processing partner
Job no longer available
Issuer processing partner
201-500 employees
Job no longer available
2+ days a week in office
201-500 employees
Company mission
To transform the world through true partnerships and smart payments to revolutionise the future of finance, together.
Role
Who you are
- You’ll be passionate about AI, focussing on driving the implementation within the finance function
- Bachelor’s degree in Finance, Computer Science, or related field
- Strong experience in data analysis and finance systems—you’re comfortable working with financial data and understand how different systems interact
- Advanced skills in SQL, Power BI, Tableau, and Python or R, plus familiarity with AI and machine learning frameworks
- Proficiency with ERP systems (such as NetSuite), ETL tools, and Robotic Process Automation (RPA) at an intermediate level
- Ability to communicate complex technical concepts in simple terms for non-technical colleagues, along with solid project management skills
- Experience collaborating on AI and machine learning projects to improve predictive forecasting for revenue, expenses, and other key financial metrics
- Ability to translate complex data into actionable insights for teams such as FP&A, Accounting, Client Billing, and Treasury
- Ensure data architecture aligns with organisational security and scalability requirements
What the job involves
- . As key member of our Finance team, you will lead the design, development and automation of a centralised data warehouse to unify all our business systems data
- Using your expertise in Power Bi and Tableau, you will build scalable reporting solutions that drive cost synergies through automation
- As our Senior Data Analyst, you will be responsible for maintaining accurate financial dashboards and manage a client database, as well as supporting revenue forecasting and financial reporting during periods of increased business activity and critical reporting windows
- Collaborating closely with the Data & AI team, you will identify opportunities and champion the adoption of AI-driven solutions to enhance financial processes
- Train and support finance teams on self-service analytics tools, data interpretation, and the adoption of AI tools, Power BI, and related methodologies
- Track and analyse financial KPIs against industry standards and internal targets to inform business decisions
- Collaborate with the Data & AI and Business Re-Engineering Teams to develop and implement an AI strategy for the finance function, focusing on predictive analytics, automation, and enhanced decision-making
- Develop and maintain Power BI/Tableau dashboards to provide real-time financial insights across P&L, cash flow, balance sheet, headcount, and more
- Build user-friendly tools that enable stakeholders to generate ad-hoc reports independently, reducing reliance on IT
- Support revenue forecasting and reporting by stepping in during critical business periods to ensure continuity and accuracy
- Own the creation and maintenance of a comprehensive client-level database that integrates data from all business areas
- Investigate data anomalies (such as revenue dips or cost overruns), cleanse and validate datasets, and propose effective solutions
- Architect and implement a centralised data warehouse integrating data from systems like Snowflake, Salesforce, BambooHR, NetSuite, and others, while automating data pipelines and replacing manual processes to improve efficiency
- Ensure data integrity, consistency, and compliance with financial regulations (e.g., SOX, GDPR), maintain audit trails, and create detailed technical documentation for all data processes and system integrations
Application process
- Only direct applicants will be considered for this role, we do not accept applications from recruitment agencies
- All candidates will be Credit and Background checked to the extent permitted by law
Salary benchmarks
Our take
Embedded banking, or Banking-as-a-Service, has been a major driver of the fintech explosion. It allows challengers and smaller players to rapidly incorporate novel financial products and infrastructure without building from scratch - and major players to keep pace with increasing consumer demand for fintech services. Thredd (formerly Global Processing Services) focuses on paytech, with a tranche of services including major areas like payments, wallets, fraud prevention, and crypto management.
This diverse offering across high-growth fintech sectors has helped Thredd draw in hefty funding, and key clients across the key fintech markets of Europe, Asia-Pacific, and the Middle East, including Revolut, Curve, Cape, and Starling Bank.
This shows quite how far Thredd has managed to capture significant market penetration, which has given it the resources to continue building out key new products. With more non-fintech businesses looking to leverage the benefits of embedded banking, this could see Thredd expand into further markets such as insurance and loans. Certainly, Thredd has both the momentum and the valuation to take the plunge into other lucrative verticals.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2022
$100m
LATE VC
Oct 2021
$300m
LATE VC
Total funding: $451.8m
Company benefits
- 25 Days annual leave
- Option to buy 5 days annual leave
- Pension scheme
- Private Medical
- Life Insurance
- Green Car Scheme
- SmartTech
- Volunteer time
- Season Ticket Loan
- Cycle to work Scheme
- Long Service Awards
- Retail Discounts
- Tax-Free Childcare Vouchers
- Flu Vaccinations
- Flexible benefits (Better you fund, Revitalise you Fund, Money Coach, Expanded Private Medical, Critical Illness)
Company HQ
Holborn, London, UK
Leadership
Jim McCarthy
(CEO)Currently Advisory Board Member at Car IQ, MagicCube and TreviPay. Also Strategic Advisor at Kyck Global.
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