Analytics Engineer
Summary
Analytics and Solutions Engineer who designs BI dashboards and semantic data models, writes optimized SQL for large datasets, and builds lightweight internal business apps using low-code and AI-assisted tools in a client-facing setting. Core stack: SQL, Python, and BI platforms like Power BI, Tableau, Looker, or Sigma Computing.
Job Description
We are seeking a skilled Analytics and Solutions Engineer to join our team. This role will play a crucial part in helping organizations transform data into actionable business insights while also building lightweight internal applications that improve business processes and decision-making. The ideal candidate is analytical, curious, and excited about solving business problems through data visualization, automation, and modern application development tools. What you'll be doing: • Design, develop, and maintain interactive dashboards, reports and KPIs using modern BI tools • Build and optimize semantic data models for scalable reporting and analytics • Write efficient SQL queries to extract, transform, and analyze large datasets • Develop lightweight internal business applications using modern low-code and AI-assisted development tools • Work closely with business stakeholders to understand reporting needs and recommend analytical solutions • Perform data validation, troubleshooting, and ensure data accuracy across reports and applications Basic Qualifications: • 3+ years of experience in Business Intelligence, Analytics Engineering, Data Analytics etc. • B.Tech in Computer Science, Information Technology, Electronics, Data Science, or related engineering discipline from a Tier-1 institute (IITs, NITs, BITS Pilani, IIITs, etc.) • Strong proficiency in SQL, query optimization, and relational databases • Hands-on experience with one or more BI platforms such as Power BI, Tableau, Looker, Sigma Computing, or similar • Experience with Python for data analysis, scripting, and automation • Basic understanding of web application development concepts including front-end, back-end, databases, authentication, and deployment • Strong analytical thinking and problem-solving abilities • Excellent communication and stakeholder management skills • Ability to work independently in a fast-paced, client-facing environment • Passion for learning emerging AI technologies and applying them to solve business problems Preferred Qualifications: • Experience building internal business tools, workflow automation platforms, or data-driven applications using modern development frameworks, low-code platforms, or AI-assisted coding tools • Experience with version control (Git) and collaborative software development practices • Familiarity with modern application frameworks such as React, Next.js, Streamlit, FastAPI, Flask, or similar technologies