Senior Data Analyst

You will architect and maintain the foundational data structures that power Netomi agentic AI models for the largest global brands in the customer experience space. This position requires you to own the complete lifecycle of high volume datasets from ingestion through transformation, ensuring integrity for mission critical AI workflows. You will design and implement analytical frameworks that evaluate model performance and data quality across diverse customer journey touchpoints. Your analysis will directly influence how Netomi scales agentic automation and delivers efficiency for partners like Delta Airlines, MetLife, MGM, and United. You will translate complex machine learning requirements into actionable data narratives that drive product and platform decisions. This role demands curiosity toward large scale data patterns and rigor in validating datasets that underpin AI driven CX solutions. You will collaborate closely with engineering and product teams to standardize data definitions and establish best practices for scalable analytics. Your work will be instrumental in lowering total cost of ownership for AI initiatives by optimizing data pipelines and insight generation.

Location: India

Engagement: Full-time

Design and build scalable data pipelines that consolidate structured and unstructured sources for machine learning model training and evaluation.

Partner with data scientists to develop feature stores and experiment tracking mechanisms that ensure reproducibility across agentic AI experiments.

Implement robust data quality checks and anomaly detection systems to monitor dataset health throughout the model lifecycle.

Create interactive dashboards and reporting layers that provide visibility into model performance, data drift, and business impact metrics.

Conduct root cause analysis for data related issues affecting model accuracy and propose corrective actions in collaboration with engineering teams.

Develop and maintain documentation for data schemas, transformation logic, and analytical methodologies to support knowledge transfer.

Leverage SQL and Python to transform raw logs and event streams into curated datasets suitable for advanced modeling techniques.

Support A B testing frameworks that measure the incremental impact of AI agent interventions on customer experience outcomes.

Establish data governance practices that align with privacy regulations and Netomi standards for handling enterprise customer data.

Champion the adoption of analytical tools and practices that enable non technical stakeholders to explore data and validate model insights.

Translate ambiguous business problems into analytical approaches that leverage large scale data to test hypotheses about agent behavior.

Monitor data infrastructure performance and collaborate with technical teams to optimize query efficiency and storage costs.

Contribute to the definition of key data metrics that inform product roadmaps and model improvement initiatives at Netomi.

Act as a subject matter expert in data analysis for machine learning contexts, mentoring junior analysts and interns on best practices.

You possess a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a closely related technical field.

You have demonstrated experience working with large datasets and data pipelines in a production environment.

You are proficient in SQL and have a strong ability to write complex queries for data extraction, transformation, and aggregation.

You have hands on experience with at least one programming language commonly used for data analysis, such as Python or R.

You understand the fundamentals of machine learning and are familiar with concepts such as feature engineering, model evaluation, and data leakage.

You have a strong attention to detail and the ability to troubleshoot data inconsistencies independently.

You are comfortable working in a fast paced environment where priorities shift rapidly based on business and technical needs.

You have excellent communication skills and can explain technical findings to both technical and non technical audiences.

Experience with cloud platforms and data warehousing solutions such as Snowflake, BigQuery, or Redshift.

Familiarity with machine learning operations tools and experiment tracking frameworks.

Background in customer experience, contact center operations, or AI driven products.

Knowledge of data visualization tools like Tableau, Looker, or Power BI.

Exposure to version control practices for data and analytics code.

The role is based in Gurugram.

This is a full time position.

Candidates must be eligible to work in India without sponsorship.

Relocation is not provided for this role.

Travel is not required for this position.

This role is not eligible for visa sponsorship.

The candidate must be located in Gurugram or be willing to relocate to Gurugram.

Application review will begin immediately and continue until the position is filled.

Submit your application through the Netomi careers portal at the earliest opportunity.