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Tier-1 brand, generalist Data Analyst title, mid-level experience band, and metro location create high competition.
Core SQL, Python, BI and cloud skills are easily transferable across industries despite energy preference.
Explicit 3+ years plus mandatory SQL/Python/PowerBI and cloud experience makes shortlisting highly strict.
Deliver data-driven solutions by performing data analysis, testing, and interpretation to support research and stakeholder decision-making.
Process, analyze, and communicate data insights using SQL, Python, and Power BI, ensuring compliance with data standards and supporting data quality initiatives.
Collaborate with data management and data science teams to enhance data capabilities, ensure safe experimental operations, and drive continuous improvement.
3+ years of experience in data analytics, preferably in energy or automotive sectors.
Bachelor's degree or equivalent in Mathematics, Statistics, Computer Science, Engineering, Economics, or related quantitative field.
Proficiency in SQL, Python, Power BI, and experience with Cloud Environments, preferably Databricks and AWS.
Notice period: Not explicitly mentioned in the JD.
Experience analyzing data using statistical and machine learning techniques with a strong understanding of data structures and models.
Ability to communicate complex data clearly to stakeholders and collaborate across business units.
Comfortable managing workload independently with effective prioritization and a focus on continuous improvement and process efficiency.