Data Analyst, Kalderos

• You have a strong inclination to work in rapidly developing and expanding organizations and possess (or seek to possess) the necessary background to do so
• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
• Experience: 1-3 years of hands-on experience as a Data Analyst or Data Scientist
• Clear focus on building data models, dashboards, and visualizations in real-world applications
• Programming: Strong programming skills in SQL and Python and experience with libraries like Pandas and NumPy
• Healthcare Focus: Familiarity with healthcare data, including EHR (Electronic Health Records), medical imaging, claims data, and patient outcomes
• Problem Solving & Business Orientation: A practical, ROI-driven mindset with the ability to apply data science techniques to generate tangible business value, improving operational efficiency, patient outcomes, or profitability
• Data Visualization: Ability to present complex findings in a clear and effective manner using tools like Tableau to make data accessible to non-technical stakeholders
• Collaboration & Teamwork: Strong interpersonal skills to work in a team-oriented environment and communicate effectively with both technical and non-technical stakeholders
• Detail-oriented mindset with a passion for data quality, storytelling, and solving real-world problems
• Excellent communication skills—able to present technical insights clearly to non-technical stakeholders
• Curiosity and initiative: you’re eager to learn, iterate, and contribute

Desirable

• We’re looking for a collaborative Data Analyst to lead pharmaceutical discount analysis
• Across all roles, we look for future team members who will live our BOLD values of Bias to Action, One Team, Lead by Example, and Dumpster Data Diving Mavens
• Collect, transform, and analyze data from electronic health records, patient interactions, and internal systems to support product teams and business strategy
• Develop reports and dashboards in tools like Tableau or Power BI to provide actionable insights to clinical, product, and executive stakeholders
• Perform statistical analysis (trend analysis, cohort evaluation, hypothesis testing) to identify patterns and inform data-driven decision-making
• Ensure data accuracy and integrity through validation, profiling, and collaboration with cross-functional partners (e.g., engineers, clinical operations)
• Support ad-hoc analysis requests and contribute to insights that drive product enhancements, process improvements, and business case development