Data Analyst

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—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

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. 

• 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. 

• 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. 

• 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. 

• 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.