Data Analyst

Job Description

Responsibilities

• Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms.
• Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive-level reporting.
• Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews.
• Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions.
• Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information.
• Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators.
• Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks.
• Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities.
• Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision-making processes.

Requirements

• 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services.
• Expert-level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms.
• Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis.
• Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive-level dashboards.
• Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA.
• Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions.
• Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly.
• Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable.
• Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery.
• Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus.

Benefits

• Fully remote work opportunity within an international and agile team.
• Competitive compensation package based on experience, skills, and individual contribution.
• Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.
• High-impact role supporting mission-critical financial reporting, compliance, and business decision-making.
• Career growth opportunities across technical, leadership, and cross-functional career paths.
• Collaborative culture focused on transparency, experimentation, ownership, and measurable impact.
• Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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