Assistant Manager - Analytics

Posted 24 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Information Technology
The Role
Leads marketing, e-commerce, CRM, and loyalty analytics through KPI tracking, customer segmentation, lifecycle analysis, dashboard development, and deep-dive analysis. Translates transactional and customer data into recommendations for media optimization, personalization, retention, and business strategy. Partners with marketing, technology, data engineering, and senior leadership stakeholders while ensuring reporting accuracy and data consistency.
Summary Generated by Built In

Marketing & E-commerce Analytics

  • 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

Key Skills & Competencies

  • 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


Skills Required

  • Master’s 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 such as Tableau, Power BI, or Looker
  • Strong understanding of digital marketing, e-commerce funnels, and CRM data
  • Experience working with omnichannel retail data across online and store channels
  • Familiarity with loyalty program analytics and customer lifetime value modeling
  • Experience with digital analytics platforms such as Google Analytics or Adobe Analytics
  • Exposure to A/B testing, experimentation, or predictive analytics
  • Strong analytical, problem-solving, communication, and stakeholder management skills
  • Ability to work independently, manage multiple priorities, and operate in a corporate, matrixed environment
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The Company
HQ: Bengaluru
1,341 Employees
Year Founded: 1996

What We Do

Ample Group is a stable organization with more than 29 years of experience in systems integration and information technology. Its public company information describes the business as operating in SI/IT, while the associated technical-support role is hosted under the Ample Group name. The available evidence supports positioning Ample as an IT-focused systems-integration organization, although it does not provide a fuller account of its products, clients, or services.

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