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Data Analyst, Mining Industry

Anant Analytics Private Limited
New Delhi
Competitive Salary
Posted 1/29/2026
About the Role

Role & Responsibilities
• Collect, validate, and manage large datasets from mining operations to ensure the availability of accurate and timely information for decision-making
• Ensure data accuracy, consistency, and compliance with company standards and regulatory requirements
• Assist in cost analysis, budgeting, and forecasting activities, providing data-driven insights to support business objectives
• Perform data mining and analysis from ERP systems to extract valuable insights and generate reports for management
• Collaborate with cross-functional teams to improve data collection, storage, and processing methodologies
• Present findings, trends, and actionable insights to stakeholders in a clear and concise manner
• Contribute to process improvement initiatives based on data analysis outcomes

Qualification
• B.Com/BBA or equivalent degree in business or related field
• Diploma in AI / Computer Software or a related technical qualification

Experience
• 1-2 years of experience working with large datasets and data mining in mining operations or similar industries
• Experience with ERP systems is a plus

Preference
• Candidates with experience in big data handling, specifically in ERP systems for mining companies
• Candidates residing in Delhi NCR are preferred for this role

Skills
• Proficient in data analysis tools, such as Excel, SQL, or other business intelligence software
• Strong understanding of data validation, data integrity, and regulatory compliance in the mining industry
• Excellent problem-solving, analytical, and quantitative skills
• Ability to present complex data in a clear, accessible format to non-technical stakeholders
• Strong communication and collaboration skills

Company Name
• Anant Analytics Private Limited – A leading provider of data analytics solutions, specializing in healthcare and mining industry data analytics. The company leverages advanced analytics tools and techniques to provide actionable insights for clients, improving operational efficiency and business decision-making.


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