Job Overview
Location
Remote
Job Type
Full-time
Category
Data Analyst
Date Posted
February 12, 2026
Full Job Description
đź“‹ Description
- • Flagright is at the forefront of combating financial crime, leveraging cutting-edge AI to provide AML compliance and fraud prevention solutions to fintechs and banks globally. As a rapidly growing company, backed by Y Combinator and recognized as a leader on G2 for transaction monitoring, we are seeking a talented Data Analyst to join our dynamic team. This role is pivotal in shaping our understanding of revenue performance and driving strategic decisions across Sales, Marketing, and Finance. You will be instrumental in building and maintaining robust data infrastructure, ensuring accuracy, and delivering actionable insights that fuel our growth.
- • In this high-ownership, cross-functional role, you will be the go-to expert for analytics across our core systems: HubSpot CRM, SQL databases, and Business Intelligence (BI) tools. Your primary focus will be on providing accurate, real-time revenue insights that empower our leadership, sales teams, marketing efforts, and finance department. This is an opportunity to make a significant impact in a fast-paced startup environment where your contributions directly influence the company's trajectory.
- • A key responsibility will be the development and meticulous maintenance of full-funnel sales metrics. This involves understanding the entire customer journey from initial lead generation through to closed deals and ongoing retention. You will be responsible for creating scalable BI dashboards tailored to the specific needs of Finance, Sales, and Marketing teams. These dashboards will provide clear visibility into critical performance indicators, enabling data-driven decision-making at all levels.
- • You will delve deep into analyzing pipeline health, meticulously tracking conversion rates, measuring deal velocity, and understanding churn and expansion dynamics. This analysis will uncover trends, identify bottlenecks, and highlight opportunities for optimization within our sales processes. Ensuring the integrity of our data is paramount; therefore, you will play a crucial role in maintaining data quality, ensuring attribution accuracy, and upholding pipeline hygiene within HubSpot.
- • Your technical expertise will be leveraged to build sophisticated SQL-based data models. These models will seamlessly integrate data from our CRM (HubSpot) and financial systems, creating a unified and reliable source of truth for revenue-related information. This foundational work will be critical for accurate reporting and analysis.
- • Collaboration is at the heart of this role. You will partner closely with our RevOps team to refine forecasting models and enhance performance management strategies. This partnership will ensure that our sales forecasts are realistic and achievable, and that we are continuously monitoring and improving our sales operations.
- • Furthermore, you will work hand-in-hand with the Finance team to support revenue reconciliation and forecasting processes. This involves ensuring that our financial reporting aligns with sales data, providing confidence in our revenue figures and supporting financial planning.
- • You will be responsible for preparing and delivering key metrics for board and investor reporting. This requires presenting complex revenue data in a clear, concise, and compelling manner, highlighting our growth and financial health to key stakeholders.
- • A significant aspect of this role involves driving efficiency through automation. You will identify opportunities to automate recurring reporting tasks and eliminate manual workflows, freeing up valuable time for more strategic analysis and insight generation. This proactive approach to process improvement will be highly valued.
- • This position offers a unique opportunity to shape how Flagright measures, understands, and ultimately grows its revenue. You will be empowered to define best practices, implement new analytical approaches, and contribute to the strategic direction of the company. If you are a data-driven individual with a passion for uncovering insights and a desire to make a tangible impact in a high-growth environment, this role is for you.
🎯 Requirements
- • Minimum 2 years of experience in a Data Analyst, Sales Analyst, RevOps Analyst, or a similar analytical role.
- • Proven hands-on experience with HubSpot CRM, including familiarity with workflows, deal stages, custom reports, and dashboard creation.
- • Strong proficiency in SQL for data extraction, transformation, and analysis, with experience in building data models.
- • Experience with BI tools such as Power BI, Tableau, Looker, or Metabase for data visualization and dashboard development.
- • Demonstrated ability in data quality assurance with a high level of attention to detail.
- • Basic understanding of accounting principles and financial reconciliation.
🏖️ Benefits
- • Receive equity from day one at a fast-growing Y Combinator startup.
- • Contribute to a meaningful mission: helping to stop human trafficking, money laundering, and terrorism financing.
- • Work alongside a highly competent, top-tier team with professionals from Y Combinator, ex-AWS, Twilio, and Palantir.
- • Benefit from fast growth opportunities with significant responsibilities in an early-stage startup.
- • Experience a low-bureaucracy environment with minimal meetings and an asynchronous communication culture.
- • Enjoy an international work culture within a flat organizational structure.
Skills & Technologies
AWS
Remote
About Flagright Inc.
Flagright provides AI-powered anti-money laundering and fraud prevention software for fintechs and banks. Its platform offers real-time transaction monitoring, sanctions screening, case management, and regulatory reporting through a no-code interface, enabling compliance teams to detect and investigate suspicious activity efficiently. The company serves neobanks, crypto exchanges, and payment providers globally, helping them meet AML, CFT, and KYC regulations while reducing false positives and operational overhead.
