Senior Data Analyst

Location: Bengaluru

Es Magico builds AI agents that actually work in production.

We're a Mumbai and Bengaluru-based team creating custom AI workflows for enterprises in finance, healthcare, entertainment, and education. Think intelligent automation that handles real business tasks—from customer support to hiring to learning and development to calls to document processing to complex decision-making. We also partner with early-stage startups as a venture builder, helping them ship AI-native products from 0 to 1.

Role Description

We are seeking a full-time Senior Data Analyst to be the founding member of our data team. Till today our AI engineering team has been duelling as a data analyst as well. We are now at a stage where we need a trained expert to guide us and take our AI solutions to the next level. You can work from Bengaluru or Mumbai.

As our first data hire, you'll clean up the foundations for how we collect, clean, curate, and prepare data to finetune our models and SLMs. This role is focused on creating high-quality training datasets, building annotation workflows, evaluating model outputs, and ensuring data quality across our AI systems. You'll work closely with leadership, AI engineering, product, and business teams to understand requirements and translate them into structured datasets.

The right candidate will combine technical rigor with domain understanding to create datasets that directly improve model accuracy and reduce hallucinations.

Must Haves

3+ years in data analysis, data engineering, or related roles with strong focus on data quality and ML applications
Expert-level proficiency in Python and data manipulation libraries (Pandas, Num Py, Polars)
Strong SQL skills and experience working with both structured and unstructured data
Hands-on experience creating training datasets for ML/LLM fine tuning including data cleaning, labeling, and validation
Understanding of what makes quality training data: diversity, balance, edge cases, and domain coverage
Experience designing and managing data annotation processes, working with annotation tools and labeling workflows
Familiarity with data versioning, dataset management, and maintaining data lineage
Strong analytical and problem-solving skills with attention to detail and data integrity
Ability to communicate insights and collaborate across technical and non-technical teams
Comfortable working independently to establish processes from scratch in a fast-paced environment
The candidate must align with our core belief to Innovate, Uplift, Impact & Evolve with our talented and kind team

Nice To Haves

Experience with LLM evaluation frameworks and creating eval datasets
Familiarity with prompt engineering and understanding how data quality impacts model performance
Knowledge of domain-specific data requirements in BFSI, healthcare, or enterprise contexts
Understanding of synthetic data generation and data augmentation techniques
Familiarity with observability and monitoring tools (Langfuse, Data Dog, etc.)
Background in building ETL/ELT pipelines and data workflows

Experience with unstructured data: documents, transcripts, images, audio