Job Title: Data Analyst / Excel & Analytics Specialist
Location: Pan India
Employment Type: Full-Time
Experience: 3 to 6 years
Job Summary:
We are seeking a detail-oriented and technically skilled professional with advanced expertise in Microsoft Excel and data analytics tools. The ideal candidate will be responsible for data validation, execution, mining, extraction, and reporting, leveraging tools like Alteryx and SQL to support business decision-making.
Key Responsibilities:
- Develop and maintain complex Excel models using advanced formulas, pivot tables, and macros.
- Implement robust Excel Data Validation techniques to ensure data integrity.
- Execute and automate Excel-based data processes for operational efficiency.
- Perform Data Mining to uncover patterns and insights from large datasets.
- Conduct Data Extraction from various sources including databases and APIs.
- Analyze data to generate actionable insights and support strategic initiatives.
- Create and maintain dashboards and reports using Data Reporting Tools.
- Utilize Alteryx for data blending, preparation, and workflow automation.
- Write and optimize SQL queries for data retrieval and manipulation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Required Skills:
- Advanced proficiency in Microsoft Excel (including VBA, Power Query, and Pivot Tables).
- Hands-on experience with Alteryx for data preparation and automation.
- Strong command of SQL for querying and managing relational databases.
- Familiarity with data analytics concepts and tools.
- Experience in data reporting and visualization.
- Excellent problem-solving and analytical skills.
- Strong attention to detail and ability to work independently.
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Certification in Excel, Alteryx, or SQL is a plus.
Key Skills
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- Posted
- Aug 14, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Mumbai
- Company
- LTIMindtree
Industries
Categories
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