Senior Data Analyst
New
J
JobgetherFintech
UKFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMicrosoft Power BINumpyTableauGrafanaPandasBigQueryLooker
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 with crypto payments, custody reconciliation, AML/transaction monitoring, Kafka or Kinesis, and Spark or Snowflake.
- Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus.
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.
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