Senior Business Analyst

Impact Analytics

Bengaluru, India

3-7 Years

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Job Description

The role would require you to give end-to-end support to the product development and analytics services teams and maintain a strong relationship with our clients.

Responsibilities

Prepare and transform complex datasets using advanced data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for AI models, products, and analytics.
Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.
Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI models and product development.
Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.
Build intuitive dashboards and reports using Excel and Tableau to visualize findings and model outcomes.
Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.
Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.
Contribute to the evaluation and optimization of statistical models and machine learning algorithms for high-impact business use cases.
Stay updated on emerging AI trends and technologies and industry best practices to continuously improve product performance and scalability and product implementation efficiency.

Requirements

3 to 7 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing and statistical analysis.
Proficient in Python (with libraries such as NumPy, Pandas, and Scikit-learn) and hands-on experience in complex code building and deployment.
Advanced proficiency in SQL for handling large-scale datasets efficiently.
Proficiency in hypothesis testing and descriptive analytics using EDAs and AI/ML techniques and familiarity with statistical modeling (e. g., regression, classification, and clustering).
Experience with Excel and Tableau for data visualization and storytelling.
Strong experience in data wrangling, feature engineering, and pipeline development for large-scale datasets.
Familiarity with cloud platforms, version control (e. g., Git), and collaborative development practices is a plus.
Exceptional analytical and problem-solving skills with attention to detail.
Experience with the retail and CPG industry is a plus.
Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.

This job was posted by Swati Dwivedi Panday Recruitmenttalent Acquisition from Impact Analytics.

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About Company

Impact AnalyticsJob Source: www.linkedin.com

Job ID: 148913919

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Last Updated: 10-06-2026 00:03:16 AM

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