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Senior BI Analyst

Rebirth Finance logo
Rebirth Finance

Rebirth Finance is an AI-powered fintech platform that lets individuals and businesses manage fiat, crypto, and other assets in one place. It offers AI trading bots, copy trading, cross-border payments, open banking integration, and business collection/marketing tools, powered by its native REPA token.

0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/12/2026

San Francisco, USA
About Rebirth Finance

Rebirth (also referred to as Rebirth Fintech / Rebirth Finance) is a fintech platform that combines financial and social features under one roof. For individuals it offers an AI-powered trading bot, copy trading, market analytics and utilities, cross-border money transfer and contactless payments, and AI-assisted integration of bank accounts and credit cards. For businesses it provides store creation, digital marketing, loyalty programs, and receivables collection solutions across fiat, crypto, and card payments. The ecosystem is underpinned by the REPA token, a BEP20 utility and service token on the Binance Smart Chain that grants tiered loyalty benefits (Oxygen, Ruthenium, Palladium, Tritium), fee discounts, deposit interest, and a share of quarterly dividends from Rebirth's profits. Rebirth targets retail crypto/fiat users seeking automated trading and payment tools, as well as small-to-medium businesses seeking marketing, loyalty, and collections infrastructure. The company is headquartered in San Francisco, CA.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You define operational and product KPIs, document and explain metrics, dimensions, and KPIs, ensure data quality through QA and reconciliation, generate reports, build analytical and statistical models, translate business needs into technical requirements, train stakeholders on BI tools, resolve data issues, and create data tools.

Requirements

  • Data warehouse
  • KPI
  • Data analysis
  • Data consistency
  • Data accuracy
  • QA automation
  • Reconciliation
  • Reporting
  • Visual reporting
  • SQL
  • Analytical modeling
  • Statistical modeling
  • Technical requirements
  • BI tools
  • Tableau
  • Root cause analysis
  • Data sources
  • Banking KPIs
  • Financial KPIs
  • Crypto KPIs

Responsibilities

  • Build and maintain operational and product KPI definitions
  • Document and explain metrics, dimensions, and KPIs
  • Define and execute QA automation processes
  • Define and execute reconciliation processes
  • Generate reports from the data warehouse
  • Build analytical and statistical data models
  • Translate business needs into technical requirements
  • Train stakeholders to use BI tools independently
  • Work with executive, product, and engineering stakeholders on data needs
  • Resolve data-related issues
  • Create data tools for business departments

Benefits

  • Bonuses
  • Flexible working options
  • Remote working options
  • Learning Hub
  • Free healthy snacks and fresh fruits
  • Weekly gourmet breakfast meet-ups
  • Regular team events and parties