Business Intelligence Specialist

Bibit.id; Indonesia; On-site; IDR 120,000,000 - 180,000,000; Full time

Job summary

Bibit.id is seeking a BI Specialist focused on finance and settlement analytics. You will partner with Finance, Operations, and Engineering to deliver trusted reporting on transactions, settlements, and financial performance.

Responsibilities include building dashboards, reconciliation reports, and data pipelines, ensuring data integrity across settlement flows and supporting close processes.

Qualifications

• 1–3 years of experience in BI, Finance Analytics, or related field.
• Experience with finance/settlement data is a strong plus.
• Strong SQL and data visualization skills.

Responsibilities

• Ensure data accuracy, consistency, and governance across finance reporting.
• Build and maintain dashboards and reports for settlements and financial performance.
• Develop data pipelines consolidating transaction and settlement data from multiple sources.
• Support month-end/quarter-end close with accurate reports.
• Collaborate with Finance, Operations, and Engineering to define settlement metrics.

Skills

SQL

BI tools

Tools

Tableau

Power BI

Python

DBT

Job description

About The Role

We are seeking a BI Specialist to focus on finance and settlement analytics, partnering closely with Finance, Operations, and Engineering teams to ensure accurate, timely, and trusted reporting on transactions, settlements, and financial performance. You will build and maintain the dashboards, reconciliation reports, and data pipelines that finance and operations teams rely on daily, while ensuring data integrity across settlement flows.

About The Role

We are seeking a BI Specialist to focus on finance and settlement analytics, partnering closely with Finance, Operations, and Engineering teams to ensure accurate, timely, and trusted reporting on transactions, settlements, and financial performance. You will build and maintain the dashboards, reconciliation reports, and data pipelines that finance and operations teams rely on daily, while ensuring data integrity across settlement flows.

Key Responsibilities

• Ensure data accuracy, consistency, and governance across finance-related reporting.
• Collaborate cross-functionally to investigate issues and document reporting logic.
• Manage multiple reporting requests concurrently, prioritizing based on business urgency and impact.
• Design, build, and maintain dashboards and reports related to settlement and financial performance.
• Partner with Finance and Operations to define and standardize settlement-related metrics (e.g., settlement time, failed/pending transactions, reconciliation discrepancies, payout accuracy).
• Monitor daily/weekly settlement data for anomalies, discrepancies, or delays, and escalated issues proactively.
• Build and maintain data pipelines that consolidate transaction and settlement data from multiple sources (payment gateways, banks, internal ledgers) into a single source of truth.
• Support month-end/quarter-end close processes by providing accurate settlement and reconciliation reports.
• Investigate root causes of settlement discrepancies in collaboration with Engineering and Finance teams.
• Document data definitions, reconciliation logic, and reporting processes for auditability and knowledge continuity.

Requirements

• 1–3 years of experience in Business Intelligence, Finance Analytics, or a related field (settlement/payments experience strongly preferred).
• Strong proficiency in SQL and modern BI tools (e.g., Tableau, Power BI, or similar).
• Understanding of settlement/reconciliation concepts (e.g., payment gateways, transaction lifecycles, chargebacks, payouts) is a strong plus.
• Working knowledge of Python and/or DBT is a plus.
• Ability to work cross-functionally with Finance, Operations, and Engineering teams.
• Good communication skills, with ability to explain data/reconciliation issues clearly to non-technical stakeholders.
• Experience with stock investing or financial data analysis is a plus.

Non-Negotiable

Candidates must have at least 1 year of hands-on experience in a Data Analyst or Business Intelligence role, with prior experience working with financial and settlement data (e.g., transactions, settlements, payments, investments, banking, brokerage, fintech, or other financial datasets). Candidates should be able to clearly explain how they utilized the data to generate insights and support business decisions.