Technical Data Analyst
5 days ago
About the Company:
Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs', AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.
Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital
Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.
Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.
To know more please visit:
Job Title: Technical Data Analyst
Experience:
5+ years
Job Location: Hyderabad
Job Summary:
- Over 5 years of experience in data analysis, business intelligence, and reporting.
- Advanced SQL Proficiency: Expert-level skills in SQL, including complex querying, stored procedures, and designing efficient database schemas to support analytical needs.
- Hands-on experience designing and implementing ETL/ELT processes to ensure data integrity and availability for analysis.
- Solid understanding of data warehousing principles, including dimensional modeling and star/snowflake schemas.
- Database Management: Proficient in working with relational databases, specifically SQL Server.
- Familiarity with version control systems like Git for collaborative development.
- Strong Python programming skill is a big plus, with a focus on data manipulation, scripting, and automation using libraries like Pandas and NumPy.
- Data Visualization: Exposure to data visualization tools (e.g., Tableau, Power BI) to create dashboards and reports.
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