Summary
We are seeking a skilled and detail-oriented Data Analyst with strong experience in Power BI and Python to join our team. The ideal candidate will have a solid understanding of reporting principles, data visualization, and analytics, and will be responsible for designing, developing, and maintaining insightful dashboards and reports that support business decision-making. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development & demo and does not include handling or processing of sensitive health information.
Your role in our mission
- Design and develop interactive dashboards and reports using Power BI.
- Write and optimize Python scripts for data extraction, transformation, and analysis.
- Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions.
- Ensure data accuracy, consistency, and integrity across reporting platforms.
- Automate data workflows and reporting processes using Python and Power BI.
- Perform data analysis to uncover trends, patterns, and insights.
- Maintain documentation for reporting processes and data models.
What we're looking for
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
- Hands-on experience with Power BI (including DAX, Power Query, and data modeling).
- Proficiency in Python for data manipulation and automation (e.g., pandas, numpy, matplotlib).
- Strong understanding of reporting fundamentals, KPIs, and business metrics.
- Experience working with relational databases and writing SQL queries.
- Ability to work independently and manage multiple tasks simultaneously.
- Excellent communication and problem-solving skills.
What you should expect in this role
- Fast-paced, challenging and rewarding work environment.
- Work life balance.
- Remote working.
- Will required late evening work to overlap US work hours, whenever it is required.
