Data Analyst - Labeling

Data Analyst - Labeling at Incode

Incode is seeking a Data Analyst – Labeling to join their Data Labeling Team. This role is crucial for designing dashboards, pipelines, and reporting layers to enhance performance, identify issues, and enable data-driven decisions within labeling operations. You will report to the Head of Live Services and partner with 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, Product, and Sales/CS teams, focusing on model-label performance, feature impact, and client deliverables.
• Model labeling effort: Quantify task complexity, labeling speed, and reviewer dynamics across tools and task types.
• Own the data foundation: Build pipelines to consolidate data from SQL databases (Redshift, Postgres), annotation tools, QA audits, and feedback into a unified source of truth.
• Scale trust in data: Make operational data accessible and reliable to foster a data-driven culture within the labeling organization.

The Qualities That Set You Apart

• Analytical precision – Turn operational noise into clarity using logic, structure, and well-formed hypotheses.
• Builder mindset – Bring structure to ambiguity and enjoy formalizing systems.
• Cross-functional fluency – Communicate insights effectively with ML, Ops, Product, and Sales teams.
• Operational curiosity – Care about improving systems, effort, and feedback loops.
• Trustworthy and self-driven – Operate independently with integrity and a commitment to 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.
• 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 with a global team of top engineers, designers, and investors.
• Ownership & Autonomy: Operate like a founder with the resources of a unicorn.
• Global Impact: Launch programs that 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.

Key skills/competency

• Data Analysis
• SQL
• Tableau
• Python
• Reporting
• Metrics Definition
• Data Pipelines
• ML Operations
• Business Analysis
• Operational Analytics