We are seeking a highly analytical and technically skilled Marketing Data Analyst to support customer intelligence, marketing analytics, and AI-driven marketing operations initiatives powered by Uniphore Marketing AI.

The ideal candidate will possess strong expertise in:

- Marketing Analytics
- ETL / ELT Processes
- Data Modeling
- Semantic Layer Design
- Customer Data Platforms (CDP)
- Customer Journey Analytics
- Marketing Performance Measurement
- AI-Driven Customer Intelligence

This role will help transform fragmented customer, campaign, behavioral, and transaction data into actionable insights that improve customer engagement, marketing ROI, personalization effectiveness, and business outcomes. The role supports Uniphore Marketing AI use cases such as customer intelligence, customer digital twins, predictive audience modeling, campaign simulation, and AI-driven personalization.

Key Responsibilities

Customer Intelligence & Analytics

- Analyze customer behavior across digital and offline touchpoints.
- Develop customer insights using data from:

- CRM systems

- Marketing automation platforms

- Web analytics

- Mobile applications

- Commerce platforms

- Customer support systems
- Identify trends, patterns, and opportunities within customer data.
- Support customer intelligence initiatives using Uniphore Marketing AI capabilities.

ETL / ELT Analysis & Data Preparation

- Support ingestion and transformation of marketing and customer data.
- Develop and validate ETL/ELT workflows for analytics use cases.
- Monitor data quality and completeness across data pipelines.
- Participate in data integration projects involving customer and marketing systems.
- Validate data mappings between source and target systems.
- Experience with ETL / ELT Tools

Data Modelling & Customer 360 Analytics

- Support development of customer-centric data models.




- Create logical and physical data mappings.
- Develop analytical datasets for customer and campaign reporting.
- Validate customer identity and profile data structures.
- Assist in customer 360 implementations.
- Hands on experience with Data Modeling Concepts such as Dimensional Modelling, Star Schema, Snowflake Schema, Data Vault Concepts, Customer Master Data Models, Behavioral Event Modeling, Campaign Data Models, Audience Data Structures

Semantic Layer & Business Analytics

- Support development of business semantic layers.
- Ensure consistency of KPI definitions across dashboards and reports.
- Create business-friendly data structures for marketing users.
- Assist in defining metadata and taxonomy standards.
- Enable self-service reporting through semantic modelling.

Marketing Performance Analysis

- Measure and report campaign performance across channels.
- Analyze key marketing KPIs including Open Rate, CTR, Conversion Rate, Cost per Lead, Customer Acquisition Cost, Customer Lifetime Value, Marketing ROI
- Identify drivers of campaign success and underperformance.
- Provide recommendations for campaign optimization.

Audience & Segmentation Analytics

- Evaluate audience segmentation effectiveness.
- Analyze customer cohorts and behavioral trends.
- Support development of AI-driven audience strategies.
- Measure engagement and conversion across customer segments.
- Analyze customer journeys and drop-off points.

Marketing AI Analytics





- Support implementation of customer intelligence models.
- Analyze predictive audience performance.
- Evaluate AI-generated customer insights.
- Measure the effectiveness of customer-level targeting strategies.
- Track outcomes from predictive marketing initiatives.
- Support validation of AI-driven recommendations and decision models.

Reporting & Dashboard Development

- Develop and maintain executive dashboards.
- Create automated reporting solutions.
- Present insights through visualization tools.
- Build scorecards for campaign and customer performance monitoring.
- Deliver actionable recommendations to business stakeholders.

Data Quality & Governance

- Monitor marketing data quality.
- Identify and resolve data inconsistencies.
- Support identity resolution validation.
- Ensure compliance with data governance standards.
- Maintain data documentation and business definitions.

Cross-Functional Collaboration

- Partner with Marketing teams, Data Engineering teams, Analytics teams, MarTech teams & Product teams
- Translate business questions into analytical insights.
- Support marketing optimization and experimentation initiatives.

Required Qualifications

- Bachelor's Degree in Marketing Analytics, Business Analytics, Computer Science
- 5+ years of experience in Marketing Analytics, Customer Analytics, Business Intelligence, Digital Marketing Analytics, Data Analysis
- Experience working with enterprise marketing organizations.
- Solid expertise in Technical Skills
- Analytics & Reporting SQL, Excel, Power BI, Tableau, Looker, Google Analytics, Adobe Analytics
- Data Analysis - Statistical Analysis, Trend Analysis, Customer Segmentation, Cohort Analysis, Funnel Analysis, A/B Testing Analysis, Attribution Analysis
- Data Platforms - Experience with one or more Customer data platforms

📌 Marketing Data Analyst (Bengaluru)
🏢 LTM
📍 Bengaluru