Senior Data Analyst
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Job Description
Senior Data Analyst at Koltin responsible for translating operational complexity into actionable insights. Collaborate across teams to build operational visibility in clinical and insurance operations.
Responsibilities:
- The Senior Data Analyst at Koltin plays a critical role in turning complex operations into clear visibility, insights, and decisions.
- This role is responsible for building and maintaining operational visibility across two key areas: Clinical Operations: clinical funnels, medical capacity, provider utilization, demand.
- Insurance Operations: applications, payments, renewals, collections, and claims-related flows.
- You will act as a bridge between data and the business, translating operational complexity into dashboards, analyses, projections, and actionable recommendations that drive impact.
Requirements:
- Advanced Spanish proficiency is strongly preferred for this role.
- Identify with our Values: Ownership, Collaboration, Excellence, Data-driven, Curiosity.
- Take full ownership of operational visibility: you don’t just answer questions, you proactively surface the right ones.
- Are deeply data-driven: you ground decisions in metrics, trends, and evidence, while understanding the limitations and assumptions behind the data.
- Enjoy translating messy, real-world operations into clean funnels, KPIs, and dashboards.
- Are curious by default: you ask “why” repeatedly, challenge assumptions, and continuously deepen your understanding of clinical and insurance operations.
- Communicate clearly and confidently with both technical and non-technical stakeholders, adapting your message to your audience.
- Collaborate closely with Data Engineering, Engineering, Ops, and Medical teams to ensure data accuracy, trust, and usability.
- Are comfortable working in a fast-moving startup environment with evolving priorities, tools, and processes.
- Use AI-powered tools to improve productivity and insight generation (analysis, summarization, exploratory work), while retaining full ownership of conclusions and recommendations.
- Had experience with: Strong SQL skills and experience with relational databases.
- Python for data analysis (pandas, matplotlib/seaborn or similar).
- Building and maintaining operational dashboards in BI tools (e.g. Omni, Metabase, Looker).
- Defining and owning KPIs, funnels, and operational metrics.
- Exploratory analysis to identify trends, anomalies, and opportunities.
- Working with messy, real-world operational data.
- Collaborating with Data Engineering and non-technical stakeholders.
- Communicating insights clearly through charts, dashboards, and written summaries.
- (Nice to have) Experience in healthcare, insurance, fintech, or complex operational domains.
Benefits:
- 🎓Access to professional development tools and resources (courses, books, workshops, etc.)
- 💊Unlimited virtual medical assistance (general practitioner, nutritionist, psychologist) for you and 3 family members
- 🏈 Access to physical wellness tools (TotalPass)
- 🌴 9 extra vacation days per year in addition to the legal minimum
- 👓 Private Major Medical Insurance
- 💻 All the equipment you need to do your best work
- 💵 $500 MXN monthly support for home office expenses
- 💎 One-time $2,000 MXN support to set up your home workspace
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