Senior Data Analyst, Fintech

Utorg Labs

Senior Data Analyst driving reporting and analytics capabilities at a fintech company. Translating financial data into actionable insights and maintaining data integrity for decision-making.

Posted 7/18/2026full-timeRemote • 🇦🇪 United Arab EmiratesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial data analysis and reporting, utilizing advanced SQL and Python for data modeling and insights. Proficient in BI tools like Looker and Grafana to create dashboards that support executive decision-making and ensure compliance with regulatory standards.

Highest-signal resume keywords

Expert-Level SQL SkillsProficiency in Python (Pandas, Numpy)Experience with BI Tools (Looker, Grafana)Understanding of Financial Terminology and IFRS StandardsExperience in Regulatory Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFinancial AnalyticsRegulatory ReportingData Quality Framework DesignForecasting ModelsComplex Financial AnalysisA/B Testing EvaluationData ExtractionData ModelingAnomaly Detection

Soft Skills

Clear Technical WritingCollaboration with Data Engineering

Tools & Technologies

BigQueryLookerGrafanaPythonPandasNumpyVertex AIKafkaKinesisSpark

Industry Keywords

PaymentsFintechBankingFinancial ServicesP&L StructuresRisk MetricsAMLTransaction MonitoringCrypto PaymentsRegulatory Standards

Tech Stack

Tools & technologies

BigQueryGoGrafanaKafkaNumpyPandasPythonSparkSQLTableau

About the role

Key responsibilities & impact

Provide accurate, timely and auditable analyses and reports that support regulatory submissions, financial close and decision‑making across the business.
Ensure data integrity, traceability, and reproducibility of finance reports, reducing manual effort and operational risk.
Builds and maintains complex metrics trees, conversion funnels, and interactive dashboards using Looker or Grafana (ready to migrate to new BI) to track portfolio performance, P&L, and accounting summaries.
Automates external analytics delivery and designs customized graphical and tabular reports tailored for compliance and auditing reviews.
Gathers and formalizes business requirements for financial data marts, acting as the bridge between the Finance/Accounting department and the Data Engineer.
Designs a data quality (DQ) framework on the BI layer with automated validation checks and alerting mechanisms to ensure financial numbers are flawless.
Conducts comprehensive analysis of portfolio data, leveraging and consuming insights derived from Vertex AI (Gemini, Anthropic) models, and develops forecasting models (e.g., LTV, retention, expected loss, profitability) to support executive decision-making.
Performs complex financial turnover analysis, anomaly detection, and A/B testing evaluation using data stored in BigQuery, utilizing Python (Pandas, Numpy), Golang, and expert-level queries.

Requirements

What you’ll need

5+ years in data analysis, finance analytics or regulatory reporting within payments, fintech, banking or related financial services.
Expert-level SQL skills for data extraction and complex aggregations in BigQuery.
Strong proficiency in Python (Pandas, Numpy) for data research and modeling.
Extensive experience with BI tools, preferably Looker or Grafana (or similar tools like Tableau, Power BI), and building dashboards for C-level executives.
Solid understanding of financial terminology, P&L structures, IFRS standards, and risk metrics (EAD, LGD, RWA).
Proven ability to write clear technical requirements for the Data Engineering team (understanding of DWH concepts).
Nice to have Experience with streaming data and event schemas (Kafka, Kinesis) or working knowledge of Spark/BigQuery/Snowflake.
Prior experience in crypto payments, custody reconciliation, or AML/transaction monitoring analytics.
Familiarity with regulatory reporting standards and formats (e.g., CTR/STR workflows, local payments reporting, or similar regimes).
Degree in finance, accounting, mathematics, computer science, or a related discipline.

Benefits

Comp & perks

Work fully remote as part of an agile, international team shaping the future of finance.
Competitive salary range determined by individual experience and contribution.
Career progression with opportunities to grow into senior technical, management, or cross‑functional roles.
Impact & ownership: Work on mission‑critical reporting where accuracy, transparency, and compliance are essential.
Collaborative culture: Join a transparent environment that values open dialogue, experimentation, and measurable impact.