Indium
Artificial Intelligence • Engineering • Digital Engineering
Indium is a fast-growing, AI-driven digital engineering services company, developing cutting-edge solutions across applications and data. They specialize in areas such as product engineering, intelligent automation, data analytics, and quality engineering, catering to various industries including BFSI and healthcare. Indium focuses on delivering customer-centric experiences and innovative solutions to enhance business processes and drive digital transformation.
1001 - 5000 employees
🤖 Artificial Intelligence
💰 $1M Venture Round on 2006-04
Data Scientist, Data Engineer, Data Analyst
Job not on LinkedIn
October 15
Indium
Artificial Intelligence • Engineering • Digital Engineering
Indium is a fast-growing, AI-driven digital engineering services company, developing cutting-edge solutions across applications and data. They specialize in areas such as product engineering, intelligent automation, data analytics, and quality engineering, catering to various industries including BFSI and healthcare. Indium focuses on delivering customer-centric experiences and innovative solutions to enhance business processes and drive digital transformation.
1001 - 5000 employees
🤖 Artificial Intelligence
💰 $1M Venture Round on 2006-04
📋 Description
• Translate complex data into actionable insights • Collaborate with stakeholders to analyze trends • Build dashboards and support data-driven decision-making • Write and optimize SQL queries • Create interactive reports • Perform data cleaning and descriptive analytics • Interpret KPIs and provide strategic insights • Develop machine learning models and solve real-world problems
🎯 Requirements
• 5-10 years of experience in data analysis or engineering • Proficient in SQL, Python, and Excel • Strong knowledge of BI tools (Power BI, Tableau) • Understanding of statistical concepts and data visualization best practices • Experience with relational databases and basic ETL knowledge • Proficiency in designing and developing ETL/ELT pipelines • Familiarity with Docker, Git, CI/CD for data jobs • Knowledge of cloud platforms like AWS or Azure
🏖️ Benefits
• Diversity, equity, and inclusion initiatives • WE@IN women empowerment program
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