Operations Data Analyst (Fintech)

TL;DR

Operations Data Analyst (Fintech): Strengthening and optimising retail investment operations through high-quality data analysis, operational reporting, and process redesign with an accent on identifying inefficiencies and control gaps within operational workflows. Focus on reconstructing processes from operational data, building performance dashboards, and contributing to data quality initiatives.

Location: Hybrid, London, UK

Company

hirify.global is an award-winning investment platform specializing in exchange-traded funds (ETFs) and aiming to scale its market-leading automation and long-term investing solutions.

What you will do

• Analyse operational data across KYC/AML, trading, settlement, corporate actions, and cash reconciliations.
• Map end-to-end operational processes and create process flow documentation.
• Identify inefficiencies, control gaps, and data discrepancies within operational workflows.
• Build and maintain dashboards using BI tools to monitor operational performance and risk metrics.
• Develop and automate recurring operational reports using SQL and Excel.
• Partner with stakeholders to translate business requirements into analytical specifications.

Requirements

• 3+ years’ experience in a Data Analyst, Operations Analyst, or similar role with exposure to operational processing or operational data.
• Experience within financial services, ideally in a retail investment or fintech environment.
• Strong working knowledge of SQL (including joins).
• Proven experience using BI tools (e.g., Metabase, Tableau, Power BI) and building production-ready dashboards.
• Advanced Excel expertise, including complex formulas, data manipulation, and reconciliation work.
• Experience performing data validation and operational root-cause analysis.
• Strong stakeholder management skills, with the ability to communicate clearly.
• English: C1 level and above required.

Nice to have

• Experience with ETL processes or exposure to data warehousing concepts.
• Working knowledge of Python for data analysis.

Culture & Benefits

• Take on meaningful work from day one, tackling real challenges that drive business stability, efficiency, and growth.
• Opportunities to expand responsibilities, influence work processes, and shape long-term direction as the company scales.
• Transparent and open culture with clear communication and encouraged collaboration.
• Work alongside a supportive, experienced team of talented professionals.
• Remote-first and flexible work environment, focusing on results over rigid hours.

Hiring process

• Introductory call with the Talent team.
• Competency interview focused on experience.
• Gamified cognitive assessment.
• Interview with a hiring manager to explore alignment with culture, values, and strategic direction.