BI Analyst / Data Analyst

We are looking for BI Analyst who will be responsible for collecting, transforming, and visualizing business data to support operational and strategic decisions across the company.

This role involves building dashboards and automated reports, maintaining data accuracy, and providing actionable insights to departments such as Finance, Payments, Operations, and Product.

The ideal candidate combines strong analytical and SQL skills with a practical understanding of BI tools and business processes.

Requirements:

• Experience: 2+ years of experience as a BI Analyst, Data Analyst, or similar analytical role in fintech, payments, e-commerce, or related industries.
• Reporting & Visualization: Hands-on experience building dashboards and reports in Tableau, Power BI, Grafana, or Metabase. Ability to design clear, actionable visualizations with attention to usability and accuracy.
• SQL Expertise: Strong command of SQL — writing complex queries, optimizing joins, working with analytical functions, and ensuring query performance.
• Data Modeling: Understanding of relational and analytical data models (OLTP, OLAP). Ability to structure data for reporting and maintain data consistency across multiple sources.
• Automation Skills: Experience automating data collection, processing, and reporting workflows. Familiarity with ETL concepts and scheduling tools.
• Analytical Thinking: Strong problem-solving mindset and ability to translate business requirements into data-driven insights.
• Attention to Detail: High accuracy in working with numbers and visual data; ability to detect inconsistencies and ensure data integrity.
• Communication: Ability to clearly explain analytical findings to both technical and non-technical stakeholders. Comfortable gathering requirements from business teams.
• Documentation: Experience maintaining technical and process documentation in Confluence.
• English: Upper-intermediate.

Responsibilities:

BI Report Development

• Prepare both regular (daily/weekly/monthly) and ad‑hoc Tableau/Grafana/Metabase reports across various business domains (finance, sales, marketing, etc.).
• Gather and analyze stakeholder requirements, draft detailed functional specifications, and design report wireframes.
• Validate data accuracy and visual elements; review and finalize reports with stakeholders.
• Implement (daily/weekly/monthly) email report summaries.
• Implement event-based (trigger) notifications from reports to different departments via email (or other channels)

Report Automation

• Streamline existing data collection, processing, and aggregation workflows using scripts (SQL).
• Reduce manual effort, accelerate report refresh cycles, and ensure process reliability.

Database Interaction

• Design and maintain database schemas (OLTP/OLAP), document data models.
• Write high‑performance SQL queries, apply indexing, and optimize complex JOINs.
• Ensure data integrity and consistency, perform transaction audits, and manage access controls.

Data Extraction

• Set up secure, reliable export procedures for CSV/Parquet/JSON formats.
• Automate data dumps for internal teams and external partners.
• Perform data quality checks and completeness validation at each extraction stage.

BI System Configuration

• Grafana, Tableau or Power BI: Prepare datasets and data models; build interactive dashboards; configure filters, parameters, and Level of Detail (LOD) calculations; publish reports on Tableau Server/Online with appropriate permissions.
• Metabase: Develop queries via the Question Builder and custom SQL editor; design cards and dashboards; enable parameterized reporting; automate report deliveries via email (is plus)

Technical Support

• Advise team members on BI tools and reporting best practices.
• Conduct training sessions and workshops for end users.
• Rapidly troubleshoot incidents; maintain process documentation and user guides in Confluence.

We work in a result-driven culture. You will fit in if you:

• Are meticulous, dependable, and proactive.
• Communicate clearly and professionally with regulators and team members.
• Have a strong problem-solving mindset and the ability to explain fraud scenarios to non-technical stakeholders.
• Demonstrate high attention to detail and can prioritize effectively in fast-changing risk environments.
• Take a proactive approach to identifying new patterns, proposing improvements, and preventing fraud before it occurs.

Our Hiring Process:

1. Application Screening
2. Interview Stages (2-3 weeks)
   • Prescreening Call with Recruiter (40 min)
   • Technical Interview (60 min)
3. Job Offer & Background Check

Become part of a global team redefining FinTech.