Data Analyst (Revenue, HubSpot, Finance) – Bangalore

Sorry, this job was removed at 02:11 a.m. (UTC) on Thursday, May 07, 2026
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Artificial Intelligence • Machine Learning • Security • Software • Financial Services • Generative AI • Automation
AI-native transaction monitoring and AML compliance solutions
The Role

About Flagright:

Flagright is an AI operating system for financial crime compliance used globally by Fortune 500 companies, large banks, fintechs, and fast growing startups. Flagright enables real-time risk detection, automated investigations, and intelligent decisioning, helping compliance teams operate at their full potential in the fight against financial crime.

We operate as a lean, high-performance team with high individual ownership and direct access to leadership.

Role overview:

You will own analytics across HubSpot, SQL, and BI, supporting Sales, Marketing, and Finance, with accurate, real-time revenue insights. You will build full-funnel metrics, maintain data quality, support forecasting and financial reconciliation, and drive reporting for leadership and investors.

This is a high-ownership, cross-functional role in a fast-paced startup environment.

People who thrive at Flagright:

  • Have been knocked down before and gotten back up

  • Are resourceful—they figure things out with whatever tools are available

  • Have strong opinions and can defend them

  • Learn fast because they're hungry

  • Want to work with no-BS people building something important

People who struggle here:

  • Need extensive hand-holding

  • View high expectations as “unreasonable”

  • Actually prioritize work-life balance

  • Can’t handle ambiguity or rejection

  • Prefer consistent routine over fast-changing priorities

Key responsibilities:

  • Build and maintain full-funnel sales metrics

  • Create scalable BI dashboards for Finance, Sales, and Marketing

  • Analyze pipeline health, conversion rates, deal velocity, churn, and expansion

  • Ensure data quality, attribution accuracy, and pipeline hygiene in HubSpot

  • Build SQL-based data models connecting CRM and financial data

  • Partner with RevOps on forecasting and performance management

  • Partner with Finance on revenue reconciliation and forecasting

  • Support board and investor reporting with accurate revenue metrics

  • Automate recurring reporting and eliminate manual workflows

Who we are looking for:

  • Minimum 2 years experience as a Data Analyst, Sales Analyst, RevOps Analyst, or similar

  • Proven hands-on experience with HubSpot CRM: workflows, deal stages, dashboards, custom reports

  • Strong SQL skills and experience with BI tools (Power BI, Tableau, Looker, Metabase, etc.)

  • Strong data quality assurance skills and high attention to detail

  • Basic accounting knowledge

  • Experience partnering with Sales, Marketing, Finance, and RevOps

  • SaaS or fintech experience is a plus

What we offer:

  • Product with clear, real-world differentiation

  • High-bar environment focused on execution, learning, and continuous improvement

  • Get equity from day 1 at a Y Combinator startup

  • Work alongside a highly competent, top-tier team, including professionals from Y Combinator, ex AWS, and Palantir

  • Enjoy a low-bureaucracy environment, minimal meetings, and an asynchronous communications culture

  • Great career development opportunities in a fast-growing early-stage startup

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The Company
HQ: San Francisco, California
35 Employees
Year Founded: 2021

What We Do

Flagright sets the modern standard for AI-native transaction monitoring. The platform enables financial institutions to centralize detection, investigation, and reporting of suspicious activity, streamlining regulatory workflows and strengthening financial crime controls. A high-performance, no-code scenario builder with sub-second API response times powers real-time monitoring, supported by tailored rules, dynamic risk profiling, and simulation tools that reduce false positives and improve decision accuracy. This transaction monitoring foundation is enhanced by fully integrated AML screening that links each transaction and entity to global sanctions and watchlists; dynamic risk scoring that embeds behavioural and contextual risk directly into detection logic; and centralized case management that automates alert triage, investigation workflows, and SAR filing, maintaining audit-readiness across jurisdictions. Flagright’s AI Forensics suite strengthens compliance operations across four critical areas: screening (reduces false positives in AML checks), monitoring (augments alert investigation capabilities), quality assurance (accelerates QA processes), and governance (simplifies policy management and regulatory compliance). Financial institutions moving from fragmented tools to Flagright report a 93% reduction in false positives, 80% lower compliance costs, and a 27% drop in operational errors, with implementation typically completed within weeks. With customers across six continents and offices in the United States, the United Kingdom, Singapore, and Germany, Flagright delivers a transaction monitoring solution that scales with growth and adapts to evolving threats.

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