Hyderabad, Telangana, India
Information Technology
Full-Time
Tatras Data
Overview
Location : Bangalore/Hyderabad (Hybrid - 3 days in office)
Experience Required : 3+ relevant years of experience
Educational Qualification : B.Tech, B.Sc, or Software Engineering
Key Skills And Requirements
As a Data Analyst at Tatras Data, you will work with complex datasets, applying advanced programming and database skills to extract, analyze, and derive actionable insights.
You will play a key role in improving business decisions through data-driven strategies while working in a collaborative and fast-paced environment.
Key Responsibilities
Experience Required : 3+ relevant years of experience
Educational Qualification : B.Tech, B.Sc, or Software Engineering
Key Skills And Requirements
- Strong proficiency in Python programming for data analysis and automation tasks.
- Advanced SQL skills are mandatory for querying and managing large datasets.
- Ability to analyze complex data, identify patterns, and provide actionable insights.
- Aptitude for identifying issues, troubleshooting, and delivering efficient solutions.
As a Data Analyst at Tatras Data, you will work with complex datasets, applying advanced programming and database skills to extract, analyze, and derive actionable insights.
You will play a key role in improving business decisions through data-driven strategies while working in a collaborative and fast-paced environment.
Key Responsibilities
- Analyze large datasets to identify patterns, trends, and key insights that can drive business decisions.
- Provide actionable recommendations to stakeholders.
- Write and optimize complex SQL queries for data extraction, management, and manipulation of large datasets from multiple sources.
- Use Python to automate data processing tasks, streamline workflows, and improve data analysis efficiency.
- Develop reports and visualizations that effectively communicate data insights and results to stakeholders and management.
- Identify issues related to data quality or system inefficiencies, troubleshoot and deliver effective solutions.
- Work closely with cross-functional teams, including Data Engineers, Data Scientists, and Business Analysts, to ensure that data analysis aligns with business objectives.
- Ensure the accuracy and integrity of the data being analyzed by performing quality checks and validation
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