OneInfinia AI is an advanced AI and technology solutions platform engineering innovative software, data analytics, eClaims ecosystems, and enterprise solutions for healthcare and digital technology industries.

Role Overview & Scope

The Data Analyst will extract, transform, and analyze complex datasets to generate actionable operational insights, interactive dashboards, and business intelligence models for corporate stakeholders and enterprise clients.

Key Responsibilities

• Data Extraction & Modeling: Query, cleanse, and transform unstructured/structured data from multiple relational and non-relational databases.
• Business Intelligence Dashboards: Design and maintain automated reports, visual dashboards, and KPI tracking systems (e.g., PowerBI, Tableau).
• Data Quality Management: Audit datasets to ensure accuracy, consistency, and alignment with organizational reporting standards.
• Insights & Reporting: Interpret data trends, formulate statistical insights, and present analytical findings to product and leadership teams.

Minimum Requirements & Qualifications

• Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or Economics.
• Technical Proficiency: Strong expertise in SQL, Python/R for data analysis, and BI visualization tools (Power BI, Tableau, Metabase).
• Competencies: Data modeling, statistical analysis, problem-solving skills, and clarity in presentation.

• Query, cleanse, and transform unstructured/structured data from multiple relational and non-relational databases.
• Design and maintain automated reports, visual dashboards, and KPI tracking systems (e.g., PowerBI, Tableau).
• Audit datasets to ensure accuracy, consistency, and alignment with organizational reporting standards.
• Interpret data trends, formulate statistical insights, and present analytical findings to product and leadership teams.

• SQL
• Python/R for data analysis
• BI visualization tools (Power BI, Tableau, Metabase)
• Data modeling
• Statistical analysis
• Problem-solving skills
• Clarity in presentation

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or Economics.