Senior Data Analyst

Senior Data Analyst ADHD care is broken, but we’re fixing it. Kantoko makes high quality ADHD care accessible, from diagnosis to long‑term support and care. This is a rare opportunity to be the first data analyst in a fast‑moving startup led by a successful founder (prev startup acquired by American Express). You'll have an outsized impact on the product, processes, and engineering culture. Working at Kantoko, you have a direct impact on our 1,000+ patients. We're changing people's lives and your work directly contributes to this every day. We’re looking for a Senior Data Analyst who loves their craft and is excited to help build the future of mental health care from the ground up. Your job is to turn our data into a decision engine for product, clinical and operations. You’ll own our analytics stack end‑to‑end: setting up clean, trustworthy dashboards, defining core metrics, and building the structure that lets everyone self‑serve. Most of your time will be BI/insights (think Metabase, SQL, Python, dashboards). A smaller slice will be light data/pipeline work in Databricks to keep things running smoothly. This is the ideal role for a hands‑on Senior Analyst who wants real ownership: being the founding analytics hire, designing our BI layer, and setting patterns the team will use for years. About the role Lead our analytics stack from raw data through to dashboards and decision‑ready insights. Collaborate directly with our Founder on a day‑to‑day basis. Maintain our BI layer (Metabase) – models, saved questions, dashboards, access, and documentation. Partner with product, operations, clinical and leadership to turn messy, ambiguous questions into well‑scoped analyses and clear recommendations. Define and maintain core metrics (activation, conversion, retention, clinical and operational KPIs) and ensure they are consistently implemented and understood. Run deep‑dive analyses on growth, patient outcomes, funnel performance, experiments, and operational efficiency – and communicate the “so what” in plain language. Implement and refine tracking: event schemas, properties, and data definitions across our product and tools, working closely with engineering. Assist with light data/pipeline work (10–20% of your time): tweak Databricks jobs, help debug data quality issues, add simple transformations, and collaborate with engineers on anything heavier. Bring a pragmatic approach to data quality. Champion data literacy across a 12‑person team – from helping people write their own queries through to challenging assumptions when the data says something different. Lean on AI and modern tooling where it helps you move faster (e.g. query generation, documentation, or exploration). What you’ll bring You’re excited about joining an early‑stage startup and being the founding analytics hire , with real ownership over how data works at Kantoko. You’ve spent 4–7+ years in analytical roles (Data/BI/Product/Insights Analyst) and are already operating at a senior level. You are very strong in Python & SQL and comfortable working directly with large tables in a warehouse environment. You have deep experience with at least one modern BI tool (Metabase, Looker, Mode, Tableau, Power BI, etc.), including modelling, building clean dashboards, and enabling self‑serve. You’re comfortable in Python for analysis – notebooks, simple scripts, and data wrangling (Pandas, etc.), not building ML platforms. You’ve worked with a cloud data platform such as Databricks, Snowflake, BigQuery, or Redshift, and you understand the basics of warehouses, schemas, and transformations. You know how to turn vague questions (“Why are cancellations up?”) into structured hypotheses, analyses, and clear recommendations. You care about product and user experience, not just reporting – you like sitting with product, ops and clinicians to understand the real‑world context behind the numbers. You communicate clearly : you can tell a data story in slides or a Loom, and you’re comfortable pushing back when the data contradicts opinions. You’re pragmatic : you know when “quick and good enough” beats “perfect but never shipped”, and you’re happy to revisit foundations once they’re proving valuable. Bonus / Nice to Have Experience in health, mental health, or other regulated domains. Experience with event‑based analytics (e.g. Segment, Amplitude, Mixpanel) and experimentation. Experience in a startup or scale‑up. Our current data stack BI: Metabase Data platform: Databricks Languages: SQL and Python Product & backend: Existing web platform built on Python/Django Why work with us Hybrid working environment – 3 days in the office. Own a piece – generous ESOP plan. Great team culture – work alongside our small and quirky team. Embrace the purple – we celebrate what makes people unique and thrive when everyone feels safe to bring their full self to work Have an impact – rare opportunity to have a direct positive impact on patients every day. Seniority level Mid-Senior level Employment type Full‑time Job function Information Technology Industries Mental Health Care Referrals increase your chances of interviewing at Kantoko by 2x If you have any additional questions about careers at Kantoko you can email us at #J-18808-Ljbffr