Indium
1001 - 5000 employees
🤖 Artificial Intelligence
💰 $1M Venture Round on 2006-04
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.
Data Scientist, Data Engineer, Data Analyst
Job not on LinkedIn
🕒 October 15, 2025
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Indium
1001 - 5000 employees
🤖 Artificial Intelligence
💰 $1M Venture Round on 2006-04
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.
📋 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
Apply NowSimilar Jobs
🕒 September 21, 2025
Data Analyst Level 2 delivering advanced analytics and insights for a consultancy specializing in capital projects. Collaborating across departments to improve data-driven decision-making.
🕒 September 21, 2025
Data Analyst creating and iterating customer dashboards; supports customer success at a US software training company.
🕒 September 17, 2025
Mid-Level Data Analyst creating dashboards and analyzing data with SQL and Python for financial decisions. Collaborating with the VP of Finance to ensure data integrity and compliance.
🕒 September 17, 2025
Senior Data Analyst at Aztia developing insights through Power BI and sophisticated analytics. Collaborating with VP of Finance and mentoring junior analysts in a remote setting.
🕒 September 5, 2025
Build dbt data models, Snowflake analytics, and SQL-based KPIs. Create dashboards and partner with stakeholders at Fanatics Betting & Gaming.
