Business Analytics with Gen AI
No salary listed
Senior
Bachelor's
Bengaluru, Karnataka, India
HybridHybrid arrangement.
Data & AnalyticsData Analysis
About the job
Requirements
- A bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, Economics, or a related quantitative field is required.
- Five to eight years of hands-on experience in Campaign Analytics, Marketing Analytics, Business Intelligence, or Customer Data Operations within Banking or Financial Services is required; Wealth Management or Retail Banking experience is preferred.
- Strong hands-on proficiency in SQL, including complex joins, common table expressions, window functions, and query execution plan optimization.
- Practical working knowledge of Python and PySpark for data manipulation, pipeline automation, and analytical dataset creation.
- Expertise in campaign performance diagnostics, test-versus-control lift measurement, funnel conversion analysis, and targeting rule optimization.
- Experience designing executive-level interactive performance dashboards in Tableau or Power BI.
- Understanding and practical experience with Git or GitHub for code repository management, branching, and versioning.
- Conceptual understanding of Artificial Intelligence, Large Language Models, and Conversational AI capabilities.
- Experience setting up, organizing, and structuring domain knowledge bases, data schemas, and contextual documentation for AI-assisted workflows.
- Understanding of retrieval optimization techniques for providing relevant context to Large Language Models for code generation and data querying.
- Ability to create structured, multi-turn, and few-shot prompts for data analysis, code generation, and content drafting.
- Practical familiarity with Text-to-SQL tools and Natural Language Processing techniques for data extraction, schema querying, and text analysis.
- Experience using AI coding tools to accelerate SQL and Python script writing, query refactoring, and automated debugging.
- Practical experience using Generative AI to summarize campaign outcome metrics into narrative insights and brainstorm personalized copy variations.
- Ability to translate business goals into analytical solutions and manage stakeholder relationships.
- Problem-solving ability, attention to detail, data accuracy, and regulatory compliance.
- Interest in adopting and promoting modern AI productivity tools within the team.
Responsibilities
- Partner with Wealth Product Managers, Marketing, and Relationship Manager teams to translate campaign objectives into technical targeting criteria.
- Develop, test, and execute data extraction queries and pipelines using SQL, PySpark, and Python to generate qualified lead lists.
- Enforce campaign gating, contact frequency rules, suppression logic such as Do-Not-Contact lists and regulatory opt-outs, and eligibility filters across digital and Relationship Manager channels.
- Manage end-to-end campaign delivery calendars and ensure scheduled and trigger-based wealth programs are executed on time.
- Analyze campaign engagement funnels from targeting through delivery, engagement, conversion, and balance or Net New Assets impact to diagnose drop-offs and identify growth opportunities.
- Design and execute test-versus-control experimental frameworks and A/B test splits to measure incremental campaign lift and revenue impact.
- Analyze response patterns across customer segments and delivery channels, including mobile app in-app and push, online banking, email, SMS, and Relationship Manager CRM, and recommend targeting refinements and channel-mix optimization.
- Build and maintain interactive performance-tracking dashboards and diagnostic tools in Tableau or Power BI with automated data feeds.
- Organize, structure, and curate internal campaign rules, data dictionaries, and targeting playbooks into searchable knowledge bases for AI retrieval and team knowledge sharing.
- Optimize retrieval contexts and prompt structures so conversational AI and retrieval-augmented tools produce precise analytical outputs and code.
- Apply Text-to-SQL interfaces and Natural Language Processing techniques to accelerate ad hoc data exploration, query generation, and analysis of unstructured client feedback and interactions.
- Use Generative AI coding tools to draft, optimize, and debug SQL queries, PySpark transformations, and Python scripts.
- Use Generative AI pipelines to create executive narrative summaries, performance commentary, and anomaly explanations from campaign outcome data.
- Assist marketing partners in generating personalized messaging variations, email subject lines, and Relationship Manager talking-point templates for client segments using Generative AI.
- Manage and version-control campaign scripts, SQL queries, and configuration files using Git or GitHub.
- Perform quality assurance validations, including row-count reconciliations, schema validations, null checks, and deduplication, before releasing leads to execution channels.
- Document campaign metadata, targeting criteria, and data lineage.
- Deliver validated target-lead files to digital execution engines and CRM platforms.
- Maintain schedules for recurring, trigger-based, and ad hoc wealth campaign programs.
- Prepare analytical performance decks measuring incremental conversion, Net New Assets, and channel efficiency.
- Provide automated Tableau or Power BI dashboards for campaign-funnel monitoring and stakeholder self-service.
- Maintain campaign knowledge bases, prompt templates, automated executive performance briefs, and reusable scripts in a documented GitHub repository.
Desired Qualifications
- Familiarity with enterprise campaign management tools such as Covenant, Unica, Salesforce Marketing Cloud, or Adobe Experience Platform, and with Dataiku DSS.
About the company
Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1812
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Simplify's Take
What believers are saying
- Revenue is expanding: Citi reported $24.8 billion in the June 2026 quarter, up 14% year over year.
- US parents get protected time: eligible Citi employees receive 16 weeks of bonding leave at full base pay.
- Institutional deposits are sticky: Citi says around 80% of Services deposits come from clients with relationships exceeding 15 years.
What critics are saying
- Lending losses remain substantial: Citi's net credit losses reached $2.4 billion in the June 2026 quarter.
- Australian hybrid roles require office time: Citi sets a minimum of three office days weekly for designated hybrid positions.
- Job cuts carry a cost: Citi booked roughly $500 million in severance in the March 2026 quarter.
What makes Citi unique
- Corporate payments move at scale: Citi processes around $6 trillion daily through its Treasury and Trade business.
- Deposits move beyond banking hours: Citi Token Services transfers cash between participating Citi branches around the clock.
- Employees use a shared AI workspace: Citi's Stylus platform reaches over 180,000 people for research and multi-step workflows.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- 401(k) Retirement Plan
- 401(k) Company Match
- Wellness Program
- Paid Vacation
- Paid Sick Leave
- Paid Holidays