Company Overview: NextAmp is a digital modernization services company focused on transforming the insurance industry. We help insurance organizations redesign workflows and build AI-powered, automated systems that improve efficiency, accuracy, and scalability. Our solutions streamline core operational areas including claims processing, underwriting, billing, and back-office operations.

Job Type: Contract (2 Months)

Work Schedule: 20 Hours per Week

Location: Remote, India

Role Overview

This role will be responsible for building and operating the company’s data-driven growth initiatives across ecommerce and retail channels.

The ideal candidate will integrate and analyze data from multiple systems, identify revenue opportunities, and run targeted customer marketing initiatives such as lifecycle email campaigns and customer segmentation programs.

This is a highly hands-on role suited for someone who enjoys working directly with data, building dashboards, and executing marketing initiatives that drive measurable business outcomes.

Key Responsibilities

1. Customer Data & Analytics

Build a unified understanding of customer behavior across retail and ecommerce.

Analyze

• Customer lifetime value
• Repeat purchase patterns
• Product affinities
• Customer segments
• Geographic buying patterns
Use insights to drive targeted marketing initiatives.

2. CRM & Lifecycle Marketing

Design and manage lifecycle marketing initiatives such as:

• Welcome email series
• Post-purchase engagement
• Abandoned cart recovery
• Repeat purchase campaigns
• VIP customer programs
• Promotional campaigns
Measure campaign performance and optimize based on results.

3. Marketing Performance Analytics

Track and analyze marketing performance across channels such as:

• Email campaigns
• Paid marketing campaigns
• Promotions
• Ecommerce conversion performance
Develop insights that improve marketing ROI.

4. Retail Store Intelligence

Analyze performance across retail locations including:

• Sales trends by location
• Product performance by store
• Promotion effectiveness
• Customer buying patterns
Provide insights to support better merchandising and store operations.

5. Data Infrastructure & Reporting

Integrate data from multiple sources including:

• POS systems
• Ecommerce platform
• Marketing tools
• Inventory systems
Build dashboards and reporting systems for leadership using tools such as:

• Power BI
• Tableau
• Looker
• Google Data Studio
Qualifications
Experience

• 4–8 years experience in growth analytics, ecommerce analytics, marketing analytics, or retail analytics
• Experience working with customer and transaction data
• Experience running CRM or lifecycle marketing campaigns

Technical Skills

Strong experience with

• SQL
• Advanced Excel / Google Sheets
• Data visualization tools (Power BI, Tableau, Looker)

Nice to have:

• Python
• Experience with ecommerce platforms such as Shopify
• Experience with marketing automation tools

Business Skills

Ability to

• Translate data into actionable insights
• Identify revenue growth opportunities
• Work with cross-functional stakeholders
• Communicate insights clearly

Success Metrics

Success in this role will be measured by:

• Increase in repeat purchase rate
• Growth in customer lifetime value
• Improved marketing campaign performance
• Improved visibility into store and ecommerce performance
• Adoption of data-driven decision making across the company
Ideal Candidate Profile The ideal candidate is someone who:

• Is comfortable working with messy data
• Enjoys both analysis and execution
• Understands customer behavior in retail and ecommerce
• Can independently identify and implement growth opportunities