Senior Business Analyst

About the Role:

We’re looking for a Senior/ Lead, Business Analytics & AI with strong business analytics experience to design, develop, and deploy advanced AI/ML solutions that power data-driven decision-making across Sales, Marketing, and broader business functions.

If you're passionate about solving unstructured business problems with cutting-edge AI, predictive modeling, and data engineering, and enjoy turning data into strategy, you’ll thrive in this role.

In This Role, you will:

• Develop end-to-end AI-powered analytics models to solve complex business problems using

structured and unstructured data, especially in Sales & Marketing domains.

• Build predictive models and automation solutions for lead scoring, churn prediction, upsell/cross-

sell, next-best-action, pipeline forecasting, and campaign effectiveness.

• Use Generative AI (Gen AI) techniques to enhance research, data exploration, and prompt-based

insight generation.

• Collaborate with Sales, Marketing, Product, IT, and Analytics stakeholders to understand business

objectives, structure analytical approaches, and build scalable solutions.

• Perform deep data exploration and build advanced statistical, ML, and Gen AI models (e.g.,

transformers, topic modeling, LLMs).

• Design and manage SQL procedures and data pipelines for Snowflake and other platforms; ensure data accuracy and governance.

• Build interactive dashboards and visualizations using tools like Tableau or Sigma to make complex insights easy to consume.

• Work across multiple projects and mentor junior team members while promoting analytics adoption across teams.

• Implement CI/CD, Git, and software development best practices for model and solution deployment.

Here's What You Need:

• 3–7 years of experience in Business Analytics and AI/ML, with a strong focus on Generative AI

applications.

• Proven expertise in Python (Pandas, Scikit-learn, TensorFlow, Hugging Face, LangChain, etc.) and

AI/ML model development.

• Hands-on experience building and deploying Gen AI models for research, summarization, and

business-specific insights.

• Strong SQL skills for data extraction, transformation, and automation across large-scale databases

(e.g., Snowflake).

• Experience in data visualization using Tableau, Sigma, Power BI, or similar tools.

• Ability to work with structured and unstructured data, applying prompt engineering and AI-driven methods for insight generation.

• Exceptional communication skills to translate technical insights into business value.

• Prior experience in a SaaS environment, especially supporting Sales and Marketing functions, is a

big plus.

• Familiarity with software engineering practices like Git workflows, code reviews, and CI/CD

pipelines.