Lead Analytics Engineer – Finance Data, FinOps

This is a fully remote position, open to applicants in United Kingdom, +5 more countries.

📋 Description

• Collaborate with Treasury, Reconciliation, and Accounting teams regarding processes, priorities, and data requirements.

• Develop treasury data products that encompass positions, cash flows, and liquidity.

• Create and enhance reconciliation processes to systematically manage matching, breaks, and exceptions.

• Assist the Accounting team by providing data, conducting checks, and facilitating integrations for closing and daily operations.

• Support corporate finance and investor reporting through a unified model and standardized definitions.

• Design and refine the Finance data model, including entities and metrics, along with testing, lineage, and documentation.

• Establish Finance data standards and implement quality checks.

• Develop integrations with Finance systems.

• Implement automation and agents within Finance workflows to eliminate repetitive manual tasks.

• Evaluate Finance processes, identify opportunities for enhancement, and align data initiatives with business costs and value.

• Report directly to the Head of Central Data.

• Own the data roadmap for treasury, reconciliation, and accounting while mentoring others as the role evolves.

⛳️ Requirements

• Proven experience working in or closely with Finance, including treasury, reconciliation, accounting, or FP&A.

• Strong understanding of finance functions, including closing processes, cash and liquidity management, reconciliations, and related reporting.

• Proficient SQL skills.

• Strong capabilities in dimensional or semantic data modeling.

• Experience in developing metrics and data products utilized by other teams.

• Familiarity with ETL processes and data warehouse or lakehouse environments, including end-to-end source onboarding.

• Preference for accuracy over speed when conflicts arise.

• Business consulting mindset: comprehending processes, proposing solutions, and articulating them in terms of business value.

• Experience with Databricks and Unity Catalog.

• Background in integrating ERP, accounting, banking, or treasury systems.

• Experience with workflow automation or agents in finance-related processes.

• Knowledge of CI/CD, orchestration, and infrastructure-as-code principles.

• Previous experience in fintech, banking, or payment sectors.

🏝️ Benefits

• High levels of autonomy and flexibility in selecting tools and methodologies.

• Opportunity to experiment with new vendors and open-source solutions.

• Incentives for driving transformative changes.

• AI assistants handling routine tasks.

• Opportunities to mentor others in analytics-engineering practices.