Senior Data Analyst (AI & Advanced Analytics)

Experis; Bengaluru; On-site; INR 3,200,000 - 5,500,000; Full time

Job summary

Experis, Bangalore, seeks a Senior Data Analyst (AI & Advanced Analytics) with 12+ years of experience in advanced data analysis, EDA, data profiling, and AI/ML data support. You will excel in SQL, Python, statistics, and cloud data platforms while collaborating with data science and data engineering teams to prepare high-quality datasets and drive predictive analytics initiatives.

The role emphasizes strong analytical and stakeholder communication skills, with exposure to cross-functional teams

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
• Master's degree in quantitative/analytical field preferred.

Responsibilities

• Perform advanced data analysis to identify trends, patterns, and business insights.
• Conduct data profiling, EDA, and data validation for AI/ML initiatives.
• Prepare structured and unstructured data for analytical use cases.
• Support data scientists with dataset preparation, feature analysis, and model evaluation.
• Collaborate with data engineering teams to improve data pipelines and data quality.
• Analyze data inconsistencies and resolve data quality issues across datasets.
• Support experimentation and A/B testing through data analysis and interpretation.
• Develop analytical reports and performance metrics to measure outcomes.
• Translate analytical findings into actionable recommendations for stakeholders.
• Ensure adherence to data governance and compliance standards.

Skills

Data Analysis

Data Profiling

Exploratory Data Analysis

SQL

Python

AI/ML analytics

Statistics

Data modeling

Cross-functional teamwork

Education

Bachelor's degree in Data Science/Statistics/CS/Math

Master's degree preferred

Tools

Power BI/Tableau

Databricks

Snowflake

AWS

Azure

Job description

Position: Senior Data Analyst (AI & Advanced Analytics)

Employment Type; Full-Time (FTE)

Experience:12+ Years

Location: Bangalore

Notice Period: Immediate Joiner

Qualification

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Master's degree in a quantitative or analytical field is preferred.

Job Summary

We are looking for a Senior Data Analyst (AI & Advanced Analytics) with 1220 years of experience in advanced data analysis, exploratory data analysis (EDA), data profiling, and AI/ML data support. The ideal candidate should have strong expertise in SQL, Python, statistical analysis, and cloud-based data platforms. This role will work closely with data science, data engineering, and business teams to prepare high-quality datasets, generate actionable insights, and support predictive analytics and AI initiatives.

Key Responsibilities

• Perform advanced data analysis to identify trends, patterns, and business insights.
• Conduct data profiling, exploratory data analysis (EDA), and data validation for AI/ML initiatives.
• Identify, assess, and prepare structured and unstructured data for analytical use cases.
• Support data scientists with dataset preparation, feature analysis, and model evaluation.
• Collaborate with data engineering teams to improve data pipelines, data quality, and data accessibility.
• Analyze data inconsistencies and resolve data quality issues across multiple datasets.
• Support experimentation and A/B testing through data analysis and result interpretation.
• Develop analytical reports and performance metrics to measure business and model outcomes.
• Translate analytical findings into clear, actionable recommendations for business stakeholders.
• Ensure adherence to enterprise data governance, quality, and compliance standards.

Mandatory Skills

• Strong experience in Data Analysis, Data Profiling, and Exploratory Data Analysis (EDA).
• Strong proficiency in SQL.
• Hands-on experience with Python.
• Experience supporting AI/ML and predictive analytics initiatives.
• Strong knowledge of statistical analysis and data modeling concepts.
• Experience working with large datasets.
• Experience with cloud data platforms such as AWS, Azure, Databricks, or Snowflake.
• Strong analytical, problem-solving, and stakeholder communication skills.
• Ability to work with cross-functional teams including Data Science and Data Engineering.

Preferred Skills

• Knowledge of feature engineering concepts and model evaluation metrics.
• Experience with experimentation frameworks and A/B testing.
• Exposure to Generative AI analytics, including prompt performance, usage tracking, and evaluation.
• Experience with data visualization tools such as Power BI or Tableau (secondary skill, not the primary focus).