Business Intelligence Analyst (BI Analyst)
A BI analyst builds dashboards and reports that show the business the state of the product, payments and marketing, and supports data-driven decisions.
What a Business Intelligence Analyst does
A BI analyst turns raw data from transactional databases, event analytics and external systems into clear reports and dashboards for executives and specialist teams. In high-risk verticals, where decisions quickly affect revenue and risk, the job is not just charts but answering what is happening and why.
In fintech and payment services, a BI analyst usually works at the intersection of product, payments, risk and finance. They track payment conversion, decline rates, chargebacks, volumes by channel and partner, and reconcile data across systems. Without their reporting, teams argue about numbers instead of decisions.
Within the company structure, a BI analyst most often sits in the analytics or data department and reports to a BI or analytics lead. Sometimes they work inside a product or finance team. Business metric owners set the tasks, and technically the analyst relies on data engineers who prepare the data marts.
Responsibilities
- Build and maintain dashboards for management and product teams covering key payment, revenue and funnel metrics.
- Write SQL queries against data marts and the warehouse, and verify the accuracy of calculations and source data.
- Agree metric definitions with the business and document them so that the same number is calculated the same way in every report.
- Carry out ad hoc analysis for product, finance and risk requests, such as investigating conversion drops, transaction anomalies and the effect of changes.
- Reconcile data between sources, for example between the processor, bank statements and internal accounting, and find discrepancies.
- Prepare regular reports for regulators, partners and internal committees in an agreed format and on time.
- Define requirements for data marts and sources for data engineers and monitor data quality.
- Train users to work with dashboards and answer their questions about interpreting the numbers.
- Take part in setting up and checking A/B tests and assessing their results together with product analysts.
Skills
- SQL at a confident working level, including joins, window functions and aggregation over large tables
- Understanding of payment business models: acquiring, payouts, fees, refunds, chargebacks
- Data modeling and understanding of star schemas, facts and dimensions
- Data visualization: choosing chart types and building clear dashboards without clutter
- Data quality checks: finding duplicates, gaps, delays and discrepancies
- Communication with non-technical stakeholders and translating business questions into analytical tasks
- Basic statistics: confidence intervals, group comparisons, interpreting A/B tests
- Documenting metrics, data marts and calculation logic
- Prioritizing requests when there are more of them than resources
Tools
- SQL clients and data warehouses (ClickHouse, PostgreSQL, BigQuery or similar)
- BI platforms for dashboards (Looker, Power BI, Tableau, Metabase or similar)
- Spreadsheets and quick calculations (Google Sheets, Excel)
- Python or R for data exports and one-off calculations (as required by the team)
- Task trackers (Jira, YouTrack or similar)
- Event analytics systems (Amplitude, Mixpanel, Google Analytics)
- Data catalogs and wikis for metric documentation (Confluence, DataHub or similar)
How performance is measured
- Share of dashboards and reports regularly used by target teams
- Time from a business request to a finished answer for priority tasks
- Number of data discrepancy incidents found after a report is published
- Share of metrics described in a single dictionary and approved by owners
- Refresh speed of key dashboards and data availability by the required time
- Share of decisions made based on their analysis, according to feedback from managers
By vertical
FinTech
In fintech, the BI analyst is responsible for the transparency of payment flows: conversion, declines, routing through providers, chargebacks, and reconciliation with banks and partners. A lot of attention goes to the accuracy of financial figures and to reporting that can be presented to regulators and partners.
Levels
Specialist
A specialist performs defined tasks: builds reports, writes queries, maintains existing dashboards and handles ad hoc questions under the guidance of a lead. They are independently responsible for the accuracy of their own calculations, but metric design and priorities are usually set by a senior colleague or the business process owner.
How to get there
People usually move into BI from roles such as data analyst, financial analyst, product analyst, reporting specialist, or business analyst with strong SQL. Solid hands-on data skills and business understanding matter more than a degree in a specific field. It helps to show an example where you found an error in the numbers or helped make a decision.
To get started, learn SQL well enough for complex queries with aggregation and window functions, learn to build dashboards in one BI platform, and understand basic payment concepts: acquiring, refunds, chargebacks, fees. It is also useful to break down how registration and payment funnels work and to explain them in numbers.
Growth comes from expanding your scope: from ready-made reports to independently defining metrics, from a single product to end-to-end analytics, from ad hoc queries to designing data marts and agreeing definitions with business owners. A clear sign of growth is when people come to you with strategy questions, not just requests for data exports.
Next steps: Lead BI Analyst, BI Manager (head of BI or analytics department), Data Analyst, Product Analyst, Analytics Engineer
FAQ
How does a BI analyst differ from a data analyst?
A BI analyst focuses more on reporting and dashboards for ongoing business monitoring, while a data analyst is closer to research, modeling and hypothesis testing. The boundaries are blurred, and in small teams one role may combine both tasks.
Does a BI analyst need experience in fintech or payments?
Payments experience speeds up the work noticeably, because many metrics and sources are specific: transaction statuses, refunds, chargebacks, reconciliations. But core SQL and visualization skills are transferable, and the domain logic can be learned on the job.
Which tools should I learn first?
The foundation is SQL and one BI platform, such as Looker, Power BI, Tableau or Metabase. Python for exports and familiarity with a task tracker are also useful. The exact set usually depends on the company's stack, so look at the job postings that interest you.
What affects a BI analyst's income?
Pay is usually influenced by grade, the depth of data ownership, business complexity, location, and whether the candidate has experience in a specific vertical. The market differs a lot between companies, so rely on current job postings and conversations with recruiters.
Can I switch to BI from another profession?
Yes, people often move from finance, accounting, marketing analytics, or operational roles that involve working with reports. The transition is easier if you already understand business metrics and can work with spreadsheets, and SQL and dashboarding can be learned deliberately over a few months of practice.
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