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Popular data-analyst role, broad skillset and reputable brand drive high applicant competition.
Core data analysis and visualization skills are highly transferable across industries.
Explicit 2–3 years requirement plus mandatory Python, SQL and BI skills increases shortlisting strictness.
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Analyze provider survey responses thoroughly, including question-level assessment and proposing question deletions.
Identify trends and notable insights from complex datasets and communicate findings to Lead Analyst and project team.
Track survey progress daily and build quantitative data visualizations and dashboards using Power BI or Excel.
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business, or related field (Master's preferred).
2-3 years of relevant data analysis experience with real-world datasets.
Proficiency in Python for data manipulation and visualization (pandas, numpy, Matplotlib, Seaborn).
Strong Excel skills including formulas, pivot tables, and data visualization; basic SQL knowledge.
Experienced in handling large and complex data sets with ability to extract and transform data from multiple sources.
Capable of producing actionable insights and detailed reports for both technical and non-technical stakeholders.
Skilled in leveraging AI tools such as GPT for automating reporting, coding assistance, and improving data quality processes.