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.
- Robust 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).

📌 Senior Data Analyst (AI & Advanced Analytics) (Bengaluru)
🏢 Experis
📍 Bengaluru