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Early-career data analyst in Hyderabad with broad skillset and common title drives high competition.
Core analytics skills transferable, but FP&A and pricing domain experience increases sensitivity.
Explicit 2–3 years requirement, engineering degree mandatory, and specific tech stack required.
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Develop and maintain automated dashboards and reports for diverse stakeholders, including CXOs, to monitor global commercial performance.
Conduct quantitative analysis and advanced modeling focused on revenue growth, profitability improvements, and margin expansion, including price-volume-mix and purchase price variance analyses.
Automate and optimize analytical workflows using tools such as R, Python, SQL, and automation platforms (e.g., Power Automate, KNIME, Alteryx).
Bachelor's degree in Engineering required; Master's or specialized analytics certification preferred.
2–3 years of relevant quantitative analytics experience, professional or project-based.
Proficient in SQL, Snowflake, Power BI, Python, R, Excel, and automation tools like Alteryx, KNIME, or Power Automate.
Work Location: Hyderabad, India (Hybrid work arrangement).
Experienced in applying advanced data analytics and modeling techniques to business problems involving pricing, product portfolio, and procurement.
Strong hands-on skills in data tools and automation frameworks for reporting and workflow optimization in a global commercial context.
Comfortable collaborating with leadership and cross-functional teams to translate business objectives into actionable analytical solutions.