The role combines core data extraction and execution, performance analytics, and campaign optimization with applied Artificial Intelligence (GenAI) enablement. You will leverage modern GenAI tools, prompt and context engineering, domain knowledge base curation, retrieval optimization, Text-to-SQL assistants, and NLP to design, automate, execute, and continually optimize high-impact marketing and client engagement campaigns. You will bridge the gap between business stakeholders and data platforms while upholding data governance and risk/compliance standards.

Required Qualifications & Skill Set

Education & Experience

Education: Bachelors degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, Economics, or related quantitative field.

Experience: 58 years of hands-on experience in Campaign Analytics, Marketing Analytics, Business Intelligence, or Customer Data Operations within Banking / Financial Services (Wealth Management or Retail Banking preferred).

Technical, Analytics & Campaign Optimization Skills

Database & Querying: Strong hands-on proficiency in SQL (complex joins, CTEs, window functions, and query execution plan optimization).

Big Data & Scripting: Practical working knowledge of Python and PySpark for data manipulation, pipeline automation, and analytical dataset creation.

Campaign Analytics & Optimization: Strong expertise in campaign performance diagnostics, test vs. control lift measurement, funnel conversion analysis, and targeting rule optimization.

BI & Visual Analytics: Proven experience designing executive-level interactive performance dashboards in Tableau or Power BI.

Version Control:



Solid understanding and practical usage of Git / GitHub for code repository management, branching, and versioning.

Enterprise Platforms (Advantage): Familiarity with enterprise campaign management tools (e.g., Covenant, Unica, Salesforce Marketing Cloud, Adobe Experience Platform) and Dataiku DSS is an advantage.

AI Knowledge & GenAI Productivity Skills

AI Literacy & Foundations: Solid conceptual understanding of modern Artificial Intelligence, Large Language Models (LLMs), and Conversational AI capabilities.

Context Engineering & Knowledge Base Setup: Experience setting up, organizing, and structuring domain knowledge bases, data schemas, and contextual documentation for AI-assisted workflows.

Retrieval Optimization: Understanding of retrieval optimization techniques to feed relevant context into LLMs for accurate code generation and data querying.

Prompt Engineering: Demonstrated ability to craft structured, multi-turn, and few-shot prompts for data analysis, code generation, and content drafting.

Text-to-SQL & NLP: Practical familiarity with Text-to-SQL tools and NLP techniques for data extraction, schema querying, and text analysis.

GenAI-Assisted Development: Experience utilizing AI coding tools to accelerate SQL/Python script writing, query refactoring, and automated debugging.

AI-Driven Insights & Copy Generation: Practical experience using GenAI to summarize campaign outcome metrics into narrative insights and brainstorm personalized copy variations.

Soft Skills & Mindset

Excellent communication and stakeholder management skills with ability to translate business goals into analytical solutions.

Solid problem-solving orientation with attention to detail, data accuracy, and regulatory compliance.

📌 Campaign Analyst (Bengaluru)
🏢 Bootminds Systems
📍 Bengaluru