Data Analyst transforming data into insights for AI - first Hiring System at Alva Labs. Collaborating across teams to support evidence - based hiring decisions and drive business outcomes.
About the role
- Data Analyst with a focus on financial analytics in fintech, implementing reporting processes and collaborating with stakeholders.
Responsibilities
- Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability
- Design and develop new reporting pipelines and datasets aligned with business requirements
- Automate of data delivery processes
- Identy and implementation of automated data quality checks
- Resolve of issues related to data quality
- Collaboorate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations
Requirements
- 4+ years in analytics engineering or similar data-focused roles
- 2+ years in fintech or relevant domains (retail FX/CFD, hedge or quant funds, prop trading firms, or financial services technology)
- Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation
- Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions
- Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling
- Proficiency with Git (GitLab or GitHub) and JIRA
- Practical experience implementing complex financial calculation logic in SQL (e.g., P&L, margin, equity, positions, ledger reconciliation)
- Ability to interpret regulatory or business specifications and translate them into precise, testable SQL transformation logic
- Solid domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders
- High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic
- Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity
Benefits
- Competitive compensation
- A generous paid leave policy, supporting a healthy work–life balance
- Two additional paid days per year dedicated to volunteering and giving back
- Private medical insurance for your peace of mind
- An additional flexible benefits budget, allowing you to tailor benefits to your needs
- Flexible working mode
- The opportunity to work from almost anywhere in the world for up to 30 days per year
- Annual company-wide events held in locations around the globe
- In-office massages to support wellbeing
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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