E-commerce Reporting and Analytics Lead - (HR31714DM)

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 5 years of experience in data analysis or analytics engineering., Bachelor's degree in Business, Computer Science, Statistics, or related field., Hands-on experience with data automation, API integrations, and dashboarding tools., Experience working with ecommerce platforms like Amazon and Shopify..

Key responsibilities:

  • Develop and manage ecommerce reports and dashboards.
  • Work with data from multiple platforms to identify trends and support decision-making.
  • Automate reporting workflows to improve efficiency.
  • Collaborate with teams to translate data into business insights.

SAGAN logo
SAGAN Marketing & Advertising Small startup http://www.sagan.com.ar/
2 - 10 Employees
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Job description

Job Title: E-commerce Reporting and Analytics Lead
Location:
Remote (EST Time Zone)
Salary Range:
up to 2500 USD

Work Schedule:
Monday - Friday, 9:00 AM to 5:00 PM (EST)

NOTE: INDEPENDENT CONTRACTOR POSITION

Company Overview:

Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. Sagan provides a high-performance remote work environment, ensuring access to world-class opportunities for top-tier professionals.

About the Company:

Sagan represents a fast-growing ecommerce group that builds successful consumer brands across platforms like Amazon, Shopify, and Walmart. The team operates in a high-growth, data-driven environment and values transparency, technical excellence, and autonomy.

Position Overview:

We are seeking a full-time E-commerce Reporting and Analytics Lead with hands-on experience in building scalable reporting systems and managing the tools that store and organize data across platforms like Amazon, Shopify, and Walmart. The ideal candidate will be highly analytical, proactive, and comfortable working across multiple teams to automate reporting, uncover trends, and translate complex data into clear business insights. This role is designed to grow into a leadership position within six months, with direct support from the Head of Analytics during the transition.

Key Responsibilities:

  • Develop and manage daily, weekly, and monthly e-commerce reports using tools like Excel, Google Sheets, or SQL.
  • Build clean and scalable dashboards in Looker Studio, Power BI, or similar platforms.
  • Work with data from Amazon, Shopify, Walmart, and ad platforms like Meta and Google Ads to identify trends and support decision-making.
  • Set up and maintain systems and tools (e.g., BigQuery, Snowflake, AWS) used to store and access data efficiently.
  • Automate reporting workflows using APIs or scripting to reduce manual tasks.
  • Collaborate with marketing, operations, and leadership teams to turn business questions into data-backed insights.
  • Maintain up-to-date documentation and ensure data quality and accuracy.
  • Establish strong foundations for analytics, with a clear growth path into leadership within six months.


Ideal Candidate Skills:

  • Excellent verbal and written communication.
  • Hands-on experience with data automation, API integrations, and scalable dashboarding.
  • Experience with Amazon Seller Central and Shopify analytics.
  • Strong analytical thinking and problem-solving mindset.
  • Self-motivated and proactive with the ability to manage multiple projects independently.
  • Experience working in fast-paced remote environments and with global teams.


Qualifications:

  • Experience working with US or UK-based ecommerce companies.
  • Minimum 5 years of experience in a data analyst, analytics engineer, or similar role.
  • Proven experience in building and presenting data reports to senior stakeholders.
  • Bachelor's degree in Business, Computer Science, Statistics, or a related field.


Resume Submission Guidelines:

đź’ˇTo help us review your application efficiently, please submit your resume in text-based PDF format only.

🔸Avoid uploading scanned documents, image files (JPG/PNG), or Word documents (DOC/DOCX) format to prevent your application from being overlooked.

📍Important: For timely processing, both your resume and introductory video must be submitted in English.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Marketing & Advertising
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Data Reporting
  • Google Sheets
  • Microsoft Excel
  • Non-Verbal Communication
  • Analytical Thinking
  • Problem Solving
  • Proactivity
  • Collaboration
  • Self-Motivation

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