CXM Analytics Manager

Tredence Inc.; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Tredence is seeking a CXM Analytics Manager in Bangalore (Hybrid) to lead the analysis and interpretation of customer experience data for retail clients. The role focuses on turning complex customer data into strategic recommendations that improve engagement and business outcomes.

You will work with cross-functional teams to ensure analytics support business objectives and last-mile adoption. You will design advanced models and visualizations, integrate Google/Adobe Analytics, and mentor junior

Qualifications

• BE/BTech in Engineering, Computer Science or Analytics.
• 7-12 years of work experience in customer analytics, preferably in retail.
• Strong expertise in SQL and Python/R for data analysis and modeling.
• Advanced proficiency with Power BI and Tableau for dashboards.
• Hands-on experience with Google Analytics and Adobe Analytics.

Responsibilities

• Lead end-to-end CXM analytics projects using clickstream, customer, and marketing data.
• Design and implement data models and visualizations with SQL, Python/R, Power BI and Tableau.
• Collaborate with digital teams to integrate Google/Adobe Analytics for real-time tracking.
• Conduct exploratory data analysis to identify segments, churn, and optimize campaigns.
• Apply machine learning like regression, classification, clustering for targeting and personalization.
• Manage CDPs such as Tealium, Salesforce 360, and Hightouch to unify profiles.
• Use statistical methods (hypothesis testing, ANOVA) to validate insights.
• Mentor junior analysts in CXM analytics and data storytelling.
• Present findings to stakeholders to drive business adoption.

Skills

Leadership

Communication

Analytical thinking

Education

BE/BTech in Engineering/CS/Analytics

Tools

SQL

Python/R

Power BI

Tableau

Google Analytics

Adobe Analytics

Tealium

Salesforce Customer 360

Hightouch

Job description

Job Title: CXM Analytics Manager Location: Bangalore, India (Hybrid) Industry/Field: Retail Experience: 7-12 years Company: Tredence

About Us: Tredence differentiates itself from other analytics services firms by enabling last mile adoption of insights. We drive true business impact by uniting our strengths in business analytics, data science, and software engineering. We help our clients deliver on the artificial intelligence imperative in a practical and demystified way. To know more about us, visit: www.tredence.com

Job Overview: As a CXM Analytics Manager at Tredence, you will lead the analysis and interpretation of customer experience management data to drive actionable insights for retail clients. Success in this role means transforming complex customer data into strategic recommendations that enhance customer engagement and business outcomes. You will collaborate closely with cross-functional teams, ensuring analytics solutions support business objectives and accelerate last mile adoption. This role plays a critical part in enhancing Tredence's reputation as a leader in data-driven retail customer experience solutions.

What will your role look like?

• Lead end-to-end CXM analytics projects, leveraging clickstream, customer, and marketing data to generate insights that improve customer journey and business KPIs.
• Design and implement advanced data models and visualizations using SQL, Python/R, Power BI, and Tableau to uncover trends and patterns in large datasets.
• Collaborate with digital teams to integrate Google and Adobe analytics tools for real-time performance tracking and customer behavior analysis.
• Conduct exploratory data analysis (EDA), including univariate and multivariate analysis, to identify customer segments, predict churn, and optimize marketing campaigns.
• Apply basic machine learning techniques such as regression, classification, and clustering to enhance customer targeting and personalization strategies.
• Manage customer data platforms (CDPs) like Tealium, Salesforce Customer 360, or Hightouch to unify and enrich customer profiles for analytics and activation.
• Use statistical methods including hypothesis testing, similarity tests, and ANOVA to validate insights and ensure data-driven decision-making.
• Mentor and guide junior analysts in best practices for CXM analytics and data storytelling.
• Communicate findings effectively to stakeholders through compelling presentations that drive business adoption.

You will need:

• Hold a BE/BTech degree in a relevant field such as Engineering, Computer Science, or Analytics.
• Possess 7-12 years of work experience in customer analytics, preferably within the retail domain.
• Demonstrate strong expertise in SQL and Python or R for robust data analysis and modeling.
• Exhibit advanced proficiency with data visualization tools such as Power BI and Tableau to create impactful, user-friendly dashboards.
• Have hands-on experience with digital analytics platforms like Google Analytics and Adobe Analytics.
• Understand fundamental machine learning concepts and techniques applicable to customer segmentation and prediction.
• Apply solid statistical knowledge and techniques including hypothesis testing and ANOVA to derive meaningful insights.
• Be proficient with Customer Data Platforms (CDPs) such as Tealium, Salesforce Customer 360, and Hightouch to integrate and manage customer data.

Good to Have Skills:

• Experience with marketing analytics frameworks and attribution modeling.
• Familiarity with cloud platforms and data engineering concepts to optimize data workflows.
• Exposure to advanced machine learning frameworks beyond basics (e.g., deep learning or NLP).
• Certification in analytics, data science, or digital marketing analytics tools and methodologies

Required Skills

Customer Data Platform (CDP) - Tealium, Salesforce Customer 360, Hightouch etc