Founding Analyst

You will be Karta's first data hire, reporting directly to the founders. Your job is to build our data function from zero and make the company run on numbers.

The candidate will have responsibilities across the following functions:

Build the data foundation:

• Bring data from our product database, call logs, CRM, and finance tools into one warehouse.
• Set up pipelines, data models, and a BI layer that the whole team can use.
• Define a single source of truth for every core metric, with clear definitions.

Product and call analytics:

• Track voice agent performance: call volumes, resolution rates, call duration, drop-offs, escalations, and conversation quality.
• Find patterns in call outcomes by client, use case, language, and flow, and turn them into recommendations for the product and engineering teams.
• Measure the impact of agent and model changes over time.

Business and finance metrics:

• Build dashboards for revenue, client usage, unit economics (cost and margin per call), and pipeline.
• Own financial models, budgets, and forecasts with the founders.
• Prepare board and investor reporting.

Turn analytics into product:

• Work with the product team to turn internal dashboards and insights into client-facinganalytics features.
• Build client ROI and performance reports that support sales and renewals.

Requirements:

• 3-6 years in analytics at a startup or fast-growing tech company.
• Strong SQL and Python; comfortable writing production-quality queries and scripts.
• Has built dashboards, metric definitions, and data models from scratch, not just maintained them.
• Solid grasp of business and finance basics: unit economics, P& L, cohort and funnel analysis.
• Can turn messy data into a clear recommendation and explain it to non-technicalpeople.
• High ownership: comfortable being the only data person and deciding what to build first.

Nice to have:

• Experience with a modern data stack (e. g., BigQuery or Postgres, dbt, Metabase or Superset).
• Analytics experience in fintech, B2B SaaS, or contact-centre / conversational AI products.
• Experience building customer-facing analytics or embedded dashboards.
• Exposure to financial modelling and investor reporting.