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Reputable multinational, mid-level generalist Data Analyst title, metro location and broad skillset produce high competition.
Data analytics skills are transferable, but engineering KPI domain adds moderate industry specificity.
Explicit 4-8 years and mandatory Power BI, SQL, Azure, DAX, and automation requirements increase screening strictness.
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Develop, monitor, and maintain engineering performance KPIs dashboards using Power BI and related tools.
Collaborate cross-functionally to define KPI metrics, analyze performance data, and provide executive-level reports to support strategic decision-making.
Drive data governance, standardization, and automation of KPI reporting processes within engineering functions.
Bachelor's degree in Engineering, Data Analytics, or related discipline (BE/B.Tech).
4-8 years of experience in KPI reporting, business performance tracking, or data analytics, preferably in engineering or manufacturing environments.
Proficiency with Microsoft Power BI, SQL, and familiarity with Microsoft Azure cloud platforms.
Experience with test automation frameworks for validating data pipelines and KPI reporting systems.
Experienced in defining and managing KPI lifecycles with a strong focus on engineering productivity and project efficiency metrics.
Skilled in translating complex data into clear, actionable insights and executive dashboards for leadership review.
Ability to work collaboratively across engineering, project management, and operations teams to align KPIs with business objectives.