Data Analyst

• *POWER A WORLD OF TRUST**

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!

• *About Incode**

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.

• *The Impact You’ll Make**

As our Data Analyst – Labeling, you will be the analytical heartbeat of our Data Labeling Team. You’ll design the dashboards, pipelines, and reporting layers that reveal performance, identify friction, and enable high-precision decisions. Your work will help transform how we measure and scale labeling operations — influencing ML performance, customer delivery, and internal alignment. You will report to the Head of Live Services and serve as the dedicated analytics partner for labeling leadership.

• *What You’ll Own & Drive
• Build visibility: Design dashboards and reporting tools to track labeling throughput, SLA compliance, backlog dynamics, reviewer performance, and QA patterns.
• Define new metrics: Propose and implement creative ways to measure labeling quality, accuracy, efficiency, and cost across workflows.
• Support stakeholders: Provide analytical support to ML Engineering (e.g., model-label performance), Product (labeling impact on features), and Sales/CS (client deliverables and operational SLAs).
• Model labeling effort: Quantify task complexity, labeling speed, and reviewer dynamics across tools and task types.
• Own the data foundation: Build pipelines that consolidate data from SQL (Redshift, Postgres), annotation tools, QA audits, and semi-structured feedback into a coherent source of truth.
• Scale trust in data: Help the labeling org move from intuition to instrumentation by making operational data accessible and reliable.
• *The Qualities That Set You Apart
• Analytical precision – You turn operational noise into clarity using logic, structure, and well-formed hypotheses.
• Builder mindset – You bring structure to ambiguity and enjoy being the first to formalize systems.
• Cross-functional fluency – You can speak with ML, Ops, Product, or Sales and deliver insights in a language they understand.
• Operational curiosity – You care about effort, feedback loops, and improving the system — not just answering questions.
• Trustworthy and self-driven – You operate independently and with integrity, always raising the bar for analytical rigor.
• *Your Background
• 4–7 years of experience as a data analyst, business analyst, or ops analyst (preferably in tech, fintech, or ML/ops settings).
• Strong SQL skills (Redshift preferred), with experience in joining large datasets and building reproducible queries.
• Proficiency in dashboarding tools like Tableau, Metabase, or Looker.
• Working knowledge of Python for automation or data exploration.
• Experience with labeling systems, QA pipelines, or operations metrics is a plus.
• Proven success owning end-to-end analytics cycles (from question to insight to impact).
• Comfortable translating complex systems into understandable views for diverse audiences.
• *Why Incode?
• 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.
• *Ready to ignite the future of trust?**

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

• *Aspects Of Our Culture
• High performance
• Freedom & responsibility
• Context, not control
• Highly aligned, loosely coupled
• Continuous Feedback
• Promotions & Development
• Learn more about Life at Incode!
• *Benefits & Perks
• Flexible Working Hours & Workplace
• Open Vacation Policy
• *Equal Opportunities**

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.

• *Applicant Data Privacy**

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