Batch: 2027. About the role: Conduct data analysis and insights extraction to support business decision-making Build and maintain interactive dashboards and visualizations to communicate findings to stakeholders Write and optimize SQL queries to retrieve, transform, and aggregate data from databases Perform exploratory data analysis using Python libraries such as Pandas to understand data patterns and anomalies Work with structured datasets and apply statistical methods to identify trends and opportunities What you'll work on: Developing dashboard prototypes in Power BI or Tableau that translate raw data into actionable business intelligence Creating data pipelines and ETL workflows to automate data processing and ensure data quality Collaborating with team members to clarify requirements and validate analytical approaches Documenting findings and presenting insights through visualizations and reports What we're looking for: Solid grasp of SQL fundamentals including querying, joins, aggregations, and data manipulation techniques Competence with Power BI or Tableau to design dashboards and visualizations Hands-on proficiency in Python, especially with Pandas library and exploratory data analysis Logical mindset with strong problem-solving abilities and meticulous attention to detail Practical experience in SQL and Python through coursework, projects, or prior internships Ability to work full-time, committing 7–8 hours per day Comfort with remote work arrangements Good to have: Familiarity with cloud platforms including Azure, AWS, GCP, or Snowflake Foundational knowledge of or genuine interest in ETL and data pipeline development Previous data analytics internship or portfolio projects Who should apply: Final-year B.Tech students from Batch 2027 #J-18808-Ljbffr
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