Analyst
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Job Description
Analyst optimizing Vida Shoes International’s ecommerce performance and paid acquisition. Building dashboards, evaluating channels, and guiding marketing investment with data-driven recommendations.
Responsibilities:
- Own reporting on ecommerce performance and paid media across Google, Meta, TikTok, Amazon Ads, affiliates, and other channels
- Build and maintain dashboards in Looker Studio, Tableau, or Power BI
- Analyze campaign and channel performance and recommend budget allocation, bidding, audience, and creative optimizations
- Design, run, and interpret A/B tests on landing pages, site experience, promotions, and ad creative
- Evaluate attribution using platform data, GA4, and incrementality or MMM approaches where available
- Analyze customer cohorts, retention, lifetime value, repeat purchase rates, and LTV:CAC by channel
- Support merchandising and promotional planning through product, category, pricing, and discount performance analysis
- Forecast revenue and marketing spend for weekly, monthly, and seasonal peaks
- Audit tracking and data quality, including pixels, UTMs, conversion APIs, and GA4 events
- Present findings to non-technical stakeholders with clear, actionable recommendations
Requirements:
- 2–4 years of experience in ecommerce, digital marketing, or retail analytics
- Strong SQL skills and advanced Excel/Google Sheets
- Hands-on experience with GA4 and at least two major ad platforms (Google Ads, Meta Ads Manager, TikTok Ads, Amazon Advertising)
- Experience building dashboards in a BI tool
- Solid grasp of performance marketing metrics, funnel analysis, and attribution concepts
- Working knowledge of A/B testing and basic statistics (significance, sample size)
- Ability to explain complex data simply and turn analysis into a clear recommendation
- Attention to detail and skepticism about data quality
- Python or R for analysis or automation is nice to have
- Experience with Shopify, Magento/Adobe Commerce, or Salesforce Commerce Cloud is nice to have
- Familiarity with marketing mix modeling, incrementality testing, or Northbeam, Triple Whale, or Rockerbox is nice to have
- Experience with CRM and email/SMS platforms (Klaviyo, Braze, Attentive) is nice to have
- Experience with data warehouses (BigQuery, Snowflake) and dbt is nice to have
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