Senior Data Analyst (AI & Advanced Analytics)

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).