Job Summary

L2 Data Analyst (Data Science Track)

Were looking for an L2 Data Analyst for our India-based Applied AI team. This is an opportunity for someone who has demonstrated the ability to work with data, write code, and solve analytical problems and is ready to deepen their expertise on the data science track. The ideal candidate has some background in statistics and machine learning techniques.

Role Details

Level: L2 Data Analyst

Location: India (remote/hybrid)

About the Role

Were looking for an L2 Data Analyst for our India-based Applied AI team. This is an opportunity for someone who has demonstrated the ability to work with data, write code, and solve analytical problems and is ready to deepen their expertise on the data science track. In this role, you'll work alongside product managers and data scientists to support experimentation, data analysis, automation, and product development, gaining hands-on exposure to ML/AI workflows while driving real impact through rigorous analytical work.

What You'll Do

- Contribute to the data layer for AI workflows design, optimize, and maintain SQL queries in Snowflake to build sample datasets, power reporting, and support testing across our utility data platform.
- Write production-quality Python develop and maintain scripts for data transformation, pipeline automation, and validation, with an emphasis on code thats clean, scalable, and reproducible.
- Build the foundation for evaluation workflows curate evaluation datasets, define performance metrics, and create repeatable benchmarking frameworks that help the team measure and compare model quality.
- Dig into the data before anyone else does run exploratory analysis and data profiling to surface quality issues (missing values, duplicates, anomalies) and flag what matters for downstream work before it becomes a problem.
- Be the analytical right hand to Product Managers / Data Scientists support model development, experimentation, root-cause investigations, and ad hoc deep dives,



picking up context quickly and delivering reliable answers.
- Make your work easy to build on document analyses, methodologies, and findings clearly so theyre reproducible, reviewable, and useful to the next person who picks them up.
- Get early exposure to ML/AI in production support the development and evaluation of ML and AI-powered data pipelines, learning how models move from prototype to product.

What We're Looking For

- 2-3 years of experience in data analytics, business analytics, data science, statistics, or a related field.
- Strong Python programming skills, with experience developing clean, maintainable scripts for data processing, automation, and analysis.
- Robust SQL skills, with proficiency in joins, aggregations, window functions, common table expressions (CTEs), and query optimization.
- Experience working with large datasets and preparing high-quality data for analysis through data cleaning, transformation, validation, standardization, and investigation of data quality issues such as missing values, duplicates, inconsistencies, and anomalies.
- Solid understanding of exploratory data analysis (EDA), descriptive statistics, and basic experimental design and evaluation.
- Curious, detail-oriented approach to data asks "why does this look wrong" before assuming its right.
- Strong verbal and written communication skills, with the ability to present analytical findings clearly to both technical and non-technical stakeholders through presentations, reports, visualizations, and well-structured documentation.
- Ability to work independently on well-defined tasks while collaborating effectively with senior team members.
- Demonstrated interest in machine learning, NLP, or Generative AI, with a willingness to learn and apply these technologies, is a plus.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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