The Role
Remote multi-role data position covering Data Analyst, Data Engineer, and Data Scientist duties: analyze and visualize data, write complex SQL, build dashboards, perform A/B testing and segmentation; design scalable ETL/ELT pipelines, maintain data lakes/warehouses, enforce data quality and monitoring; and develop machine learning models and predictive analytics to drive business decisions while collaborating across teams.
Summary Generated by Built In
This is a remote position.
1. Job Title: Data Analyst
Role Overview: We're seeking a detail-oriented Data Analyst to translate complex data into actionable insights. You will collaborate with stakeholders to analyze trends, build dashboards, and support data-driven decision-making across business units.
Responsibilities: Write and optimize complex SQL queries to extract and manipulate data. Create interactive reports and dashboards using Power BI / Tableau. Perform data cleaning, exploration, and descriptive analytics. Interpret KPIs and provide insights that influence strategy. Collaborate with cross-functional teams on analytics initiatives. Perform A/B testing, customer segmentation, and root cause analysis.
Required Skills: Proficient in SQL, Excel, Python. Hands-on with BI tools: Power BI, Tableau, or Looker. Understanding of statistical concepts, data visualization best practices. Experience working with relational databases, basic ETL knowledge.
2. Job Title: Data Engineer
Role Overview: We are hiring a Data Engineer to architect, build, and maintain reliable and scalable data pipelines. You’ll be instrumental in building a modern data infrastructure and ensuring smooth flow of data across systems.
Responsibilities: Design and develop robust ETL/ELT pipelines for large-scale data processing. Work with structured and unstructured data across multiple sources. Build and maintain data lakes, data warehouses, and data marts. Implement data validation, quality checks, and monitoring frameworks. Collaborate with analysts, scientists, and engineering teams.
Required Skills: Strong in SQL, Python or Scala. Hands-on with Apache Airflow, Kafka, Spark, or similar tools. Experience with AWS (Glue, Redshift, S3) or Azure/GCP equivalents. Solid understanding of data modeling, performance tuning. Familiarity with Docker, Git, CI/CD for data jobs.
3. Job Title: Data Scientist
Role Overview: We’re looking for a highly analytical and innovative Data Scientist to develop machine learning models, uncover insights, and solve real-world problems using data. If you're passionate about predictive analytics and AI, this role is for you!
Skills Required
- Proficient in SQL
- Proficient in Excel
- Proficient in Python
- Experience with Scala (or Python for engineering tasks)
- Experience with BI tools: Power BI, Tableau, or Looker
- Understanding of statistical concepts and data visualization best practices
- Experience with relational databases and complex SQL query optimization
- Basic ETL knowledge and experience designing ETL/ELT pipelines
- Hands-on with Apache Airflow, Kafka, Spark, or similar data pipeline tools
- Experience with cloud data services (AWS Glue, Redshift, S3) or Azure/GCP equivalents
- Experience building and maintaining data lakes, data warehouses, and data marts
- Data modeling and performance tuning experience
- Familiarity with Docker, Git, and CI/CD for data jobs
- Machine learning model development and predictive analytics experience
- Experience with A/B testing, customer segmentation, and root cause analysis
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The Company
What We Do
Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.
