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Senior E-commerce Data Analyst

hace 3 semanas


Bogotá, Bogotá D.E., Colombia Somewhere A tiempo completo US$60.000 - US$120.000 al año

Job Title: Senior E-commerce Data Analyst
Location: Remote — Latin America

Type: Full-time, Independent Contractor

Work Hours: 9 am to 5 pm U.S Pacific time (Flexible with core overlap hours)

About The Company
We operate a rapidly growing multi-brand e-commerce portfolio in the pet products vertical, experiencing strong month-over-month growth across Amazon, Shopify, and emerging social commerce channels.

About The Role
We're looking for a highly skilled Senior E-commerce Data Analyst to build robust reporting systems and conduct deep-dive analysis across our Amazon, Shopify and other marketplace sales channels. In this role, you'll lead the development of automated dashboards, uncover insights to drive growth, and provide data-backed recommendations to improve performance across product, pricing, subscription, and channel metrics.

This is a high-impact position that reports directly to leadership and collaborates closely with our growth, product, and operations teams.

Why Work With Us?

  • Join a performance-driven team managing multiple consumer brands in the growing pet products market
  • Collaborate cross-functionally and directly influence growth decisions across all channels
  • Work remotely with flexibility and autonomy across global time zones
  • Be the go-to insights expert in a data-hungry organization with significant growth trajectory
  • Lead strategic initiatives that directly impact profitability and scaling decisions

Key Responsibilities

Dashboard & Reporting Development

  • Build automated weekly performance dashboards using available BI tools and data platforms
  • Standardize KPIs across Amazon and Shopify to enable consistent reporting
  • Set up alert systems to flag unusual dips/spikes in key metrics

Deep-Dive Analytics & Insights

  • Conduct price sensitivity analyses to optimize pricing strategies across 50+ SKUs, directly impacting margin and velocity decisions
  • Evaluate promotional campaign impacts across organic and paid channels
  • Perform attribution modeling to segment sales performance (organic vs. paid)
  • Execute cohort analyses to measure subscription behavior and LTV
  • Segment product performance by category, size, frequency, and other variables

Stakeholder Collaboration & Leadership

  • Present weekly data insights and recommendations to leadership team
  • Lead monthly business review meetings with cross-functional teams (growth, operations, product)
  • Train team members on dashboard usage and self-service analytics
  • Collaborate with marketplace specialists to translate data findings into actionable strategies
  • Partner with marketing managers to optimize campaign performance based on attribution analysis

Advanced Business Intelligence

  • Monitor conversion rate trends by SKU, size, and customer acquisition channel
  • Track inventory velocity and identify slow-moving products requiring promotional support
  • Analyze customer lifetime value and repeat purchase behavior across subscription vs. one-time buyers
  • Create cost analysis reports including COGS, shipping, and fulfillment expenses by channel
  • Build competitive pricing intelligence and margin optimization models
  • Develop predictive models for demand forecasting and inventory planning
  • Build profitability tracking tools to monitor shipping costs, 3PL expenses, and overall unit economics

Multi-Brand Portfolio Analysis

  • Create brand performance comparisons across our pet product portfolio
  • Identify cross-selling opportunities and customer overlap between brands
  • Analyze seasonal trends and promotional effectiveness by brand and product category

High-Priority Projects (Initial 8-10 Weeks)

  • Set up automated reporting for all platforms and perform comprehensive baseline analysis of current performance metrics
  • Analyze impact of recent pricing changes on key SKUs and channels
  • Evaluate shipping fee impacts on conversion rates (subscriptions vs. one-time purchases)
  • Build initial profitability tracking framework

Required Qualifications
Technical Skills

  • 3+ years of experience in a senior data analyst or insights-focused role
  • Proficient in SQL including JOINs, subqueries, window functions, and data aggregation across large e-commerce datasets
  • Experience writing complex queries for sales performance, inventory analysis, and customer segmentation
  • Experience with e-commerce analytics platforms (Triple Whale, Peel preferred) or equivalent BI tools such as Looker or Tableau
  • Familiarity with Amazon Seller Central and Shopify analytics APIs
  • Experience conducting statistical analysis for A/B tests and significance testing

E-commerce Domain Expertise

  • Proven track record analyzing Amazon marketplace performance, including BSR, keyword rankings, and ad vs. organic dynamics
  • Experience in Shopify/DTC data environments, especially for subscription-based commerce
  • Ability to interpret and communicate complex data to non-technical stakeholders
  • Experience with attribution modeling in multi-channel eCommerce environments

Nice to Have

  • Python or R for statistical modeling or advanced analytics
  • Familiarity with data pipeline tools (e.g., Fivetran, Stitch)
  • Experience working across multiple eCommerce brands or marketplaces
  • Pet products or consumer goods industry experience