Extract, clean, and analyze large datasets using advanced SQL queries and other analytical tools.
Design and perform ETL (Extract, Transform, Load) operations from diverse data sources, including databases, APIs, and flat files such as Excel or CSV.
Develop, automate, and maintain dashboards and visual reports to monitor KPIs, performance metrics, and business trends.
Translate complex datasets and findings into actionable insights, narratives, and strategic recommendations for stakeholders.
Collaborate closely with cross-functional teams - Product, Marketing, Finance, and Operations - to support data-driven initiatives.
Conduct ad-hoc data analysis to identify trends, diagnose issues, and provide data-backed solutions to business problems.
Identify and implement opportunities for process improvement and automation within the analytics workflow.
Ensure data accuracy, consistency, and reliability across reporting systems and analytical outputs.
Must-Have Skills :
Strong proficiency in Advanced SQL for complex data extraction, joins, aggregations, and performance optimization.
Hands-on experience with ETL processes and integrating data from multiple sources.
Proven experience in building and maintaining dashboards and data visualizations using tools like Power BI, Tableau, or Looker.
Solid understanding of data modeling, business metrics, and KPI frameworks.
Strong analytical, problem-solving, and critical-thinking skills with attention to detail.
Excellent communication and presentation skills - able to translate technical findings into clear business recommendations
(ref : hirist.tech)
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Senior Data Analyst • Hyderabad
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