Data Analyst

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast.

As a Data Analyst supporting Data Labeling and Human-in-the-Loop (HITL) operations, you will play a critical role in how we understand, measure, and improve labeling performance at scale. You will partner closely with Operations, ML, and Enablement to translate complex workflows into clear metrics, insights, and decision-support tools.

This role is ideal for an analyst who enjoys working close to real operations, is comfortable with ambiguity, and wants to move beyond reporting into shaping how teams reason about quality, efficiency, and effort.

• Operational visibility: Build and maintain dashboards that track labeling throughput, SLA adherence, backlog health, reviewer performance, and QA outcomes.
• Metric definition and refinement: Help define, validate, and iterate on metrics that measure labeling quality, accuracy, efficiency, and cost, ensuring they reflect real operational behavior.
• Stakeholder partnership: Act as the analytics partner for Ops, ML, and Product, supporting questions related to model performance, labeling impact, and delivery commitments.
• Effort and complexity analysis: Analyze task complexity, labeling speed, and reviewer dynamics across workflows to inform planning and prioritization.
• Data foundations: Contribute to reliable data pipelines by integrating data from SQL sources (Redshift/Postgres), annotation tools, QA audits, and operational feedback.
• Decision support: Provide clear, actionable insights that help teams move from intuition to evidence-based decisions.

• Strong analytical judgment: You know how to interpret metrics in context and recognize when numbers are misleading.
• Structured problem-solving: You can break down ambiguous problems and move from high-level signals to root causes.
• Builder mentality: You enjoy improving existing systems and helping formalize processes that were previously informal.
• Cross-functional communication: You can explain insights clearly to technical and non-technical partners.
• Ownership and reliability: You take responsibility for your work and follow through with rigor and transparency.

• 5–7 years of experience as a data analyst, business analyst, or operations analyst, ideally in tech, fintech, or operations-heavy environments.
• Strong SQL skills (Redshift preferred), including joining large datasets and writing maintainable queries.
• Experience with BI tools such as Looker, Metabase, or Tableau.
• Working knowledge of Python.
• Exposure to operational metrics, QA processes, or labeling/annotation systems is a plus.
• Experience taking analytics work from question to insight to action.
• Comfortable working with incomplete data and evolving requirements.

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.

• High performance
• Freedom & responsibility
• Context, not control
• Highly aligned, loosely coupled
• Continuous Feedback
• Promotions & Development
• Learn more about Life at Incode!

Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.

We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.