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Popular mid-level data scientist title, hybrid Hyderabad location, and broad analytics skillset increase competition.
Core data analytics skills transfer across industries, though value consulting experience gives some domain specificity.
Explicit 4+ years plus required SQL, Hadoop, and dashboard skills create relatively strict shortlisting filters.
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Develop and deliver advanced analytics, dashboards, and reports from multi-source data to quantify business impact and support decision-making.
Translate complex data into clear insights and narratives for executive audiences and support value measurement frameworks and scorecards.
Collaborate across cross-functional teams and leverage modern AI tools like Microsoft Copilot Studio to build scalable analytics assets and automate data workflows.
Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Economics, Engineering, Business, or related field.
Minimum 4 years of experience in data science, analytics, or related roles.
Strong expertise in SQL and experience with large-scale data environments (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 analytics skills with business acumen to translate data into measurable business value and ROI.
Experienced in consulting or client-facing analytics environments with ability to communicate complex findings to C-level executives.
Familiar with AI/automation tools and modern data engineering workflows to build reusable, scalable solutions.