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Metro Hyderabad, generalist Data Scientist title, and mid-level 4+ years increase candidate competition.
Data science skills are transferable but value-consulting and benefits domain adds moderate industry specificity.
Explicit 4+ years plus mandatory SQL and large-scale data platform experience enforce moderate filtering.
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Develop and deliver advanced reports, dashboards, and analyses from multi-source data to quantify business impact and value for clients.
Translate large, complex datasets into clear, compelling narratives and presentations for C-level executives and business leaders.
Build reusable analytics assets and leverage AI automation tools to support scalable value measurement frameworks and ROI scorecards.
Bachelor's or Master's degree in Math, Statistics, Computer Science, Economics, Engineering, Business, or related field.
4+ years of experience in data science, analytics, or related roles.
Strong expertise in SQL and experience with large-scale data platforms (e.g., Hadoop, Cloudera, Amazon Redshift/S3).
Experience building dashboards/visualizations (Tableau, Power BI, QuickSight) and advanced proficiency in Excel and PowerPoint.
Combines strong technical data science skills with business acumen to link analytics to business outcomes and client value.
Experienced in consulting or client-facing analytics roles within benefits or value consulting domains.
Comfortable working across cross-functional global teams and using modern AI/automation tools to enhance analytics capabilities.