Assistant Manager - Analytics

Ample Technologies Pvt Ltd; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Ample Technologies Pvt Ltd is looking for an experienced candidate to lead Marketing Performance Analysis, CRM & Customer Analytics, and Loyalty Program Analytics in Bengaluru, India. The role requires a Master's degree in a relevant field and 3-5 years of analytics experience within retail or e-commerce. Key responsibilities include analyzing marketing performance, developing customer insights, and enhancing loyalty program effectiveness. Proficiency in SQL, advanced Excel, and BI tools such as Tableau and Power BI is required. Strong analytical skills and stakeholder management are essential.

Qualifications

• 3-5 years of experience in analytics roles within retail and/or e-commerce environments.
• Experience with BI and visualization tools.
• Strong understanding of e-commerce funnels and CRM data.

Responsibilities

• Lead analysis of marketing performance across digital channels.
• Support optimization of media spend through performance insights.
• Build and automate dashboards for stakeholders.

Skills

SQL

Advanced Excel

Digital Marketing

Customer Analytics

Data Visualization

Education

Masters degree in Analytics, Statistics, Economics, Business, Marketing or related field

Tools

Tableau

Power BI

Looker

Google Analytics

Adobe Analytics

Job description

Marketing Performance Analysis

• Lead hands‑on analysis of marketing performance across digital channels (paid media, owned channels, marketplaces, and onsite)
• Track and analyze KPIs including traffic, conversion, revenue, ROI, CAC, and attribution
• Support optimization of media spend, promotions, and merchandising through performance insights

CRM & Customer Analytics

• Develop and manage customer segmentation, lifecycle, and cohort analyses
• Analyze customer behavior across online and offline touchpoints to inform personalization and journey design
• Suggest CRM initiatives including email, SMS, app, and push notification campaigns

Loyalty Program Analytics

• Measure and report on loyalty program performance, including member acquisition, engagement, repeat purchase, and redemption
• Conduct incremental lift and customer lifetime value analysis for loyalty members
• Identify opportunities to enhance loyalty effectiveness and customer retention

Data, Reporting & Tools

• Build, maintain, and automate dashboards and recurring reports for marketing, CRM, and loyalty stakeholders
• Perform deep‑ dive analyses using large transactional and customer datasets
• Ensure data accuracy, consistency, and alignment with business definitions
• Work closely with data engineering and technology teams to enhance data availability and reporting infrastructure

Stakeholder & Business Support

• Act as a key analytics partner to marketing, e‑commerce, CRM, and loyalty teams
• Translate complex data into clear insights and business recommendations
• Support senior leadership with ad‑hoc analysis, performance reviews, and strategic initiatives

Requirements

Required Qualifications

• Masters degree in Analytics, Statistics, Economics, Business, Marketing, or a related field
• 3‑5 years of experience in analytics roles within retail and/or e‑commerce environments
• Strong hands‑on expertise in SQL and advanced Excel
• Experience with BI and visualization tools (e.g., Tableau, Power BI, Looker)
• Strong understanding of digital marketing, e‑commerce funnels, and CRM data

Preferred Qualifications

• Experience working with omnichannel retail data (online and store)
• Familiarity with loyalty program analytics and customer lifetime value modeling
• Experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics)
• Exposure to A/B testing, experimentation, or predictive analytics
• Strong analytical and problem‑solving skills with attention to detail
• Ability to work independently in a hands‑on role while managing multiple priorities
• Strong communication and stakeholder management skills
• Structured, outcome‑oriented approach to analysis
• Ability to operate effectively in a corporate, matrixed environment