Analyst

Vida Shoes International

10d•$70,000 - $100,000•Remote

About The Position

As an Analyst, you will analyze online sales and paid acquisition performance, identify effective channels and inefficient spending, and provide clear recommendations to marketing, merchandising, and leadership. You will own ecommerce and paid media reporting across multiple channels, build dashboards, assess campaigns and customer behavior, support merchandising and promotional planning, forecast revenue and marketing spend, and audit tracking and data quality. You will present findings to non-technical stakeholders as actionable recommendations.

Requirements

2–4 years of experience in ecommerce, digital marketing, or retail analytics.
Strong SQL skills and advanced Excel or Google Sheets skills.
Hands-on experience with GA4 and at least two major advertising platforms: Google Ads, Meta Ads Manager, TikTok Ads, or Amazon Advertising.
Experience building dashboards in a business intelligence tool.
Solid understanding of performance marketing metrics, funnel analysis, and attribution concepts.
Working knowledge of A/B testing and basic statistics, including significance and sample size.
Ability to explain complex data simply and turn analysis into clear recommendations.
Attention to detail and a healthy skepticism about data quality.

Nice To Haves

Python or R experience for analysis or automation.
Experience with Shopify, Magento/Adobe Commerce, or Salesforce Commerce Cloud.
Familiarity with marketing mix modeling, incrementality testing, or tools such as Northbeam, Triple Whale, or Rockerbox.
Experience with CRM and email/SMS platforms such as Klaviyo, Braze, or Attentive.
Experience with data warehouses such as BigQuery or Snowflake and dbt.

Responsibilities

Own reporting on ecommerce performance, including traffic, conversion rate, average order value, revenue, and margin, and paid media metrics such as ROAS, CAC, CPA, CTR, and CPM across Google, Meta, TikTok, Amazon Ads, affiliates, and other channels.
Build and maintain dashboards in Looker Studio, Tableau, or Power BI as a single source of truth for teams.
Analyze campaign and channel performance and recommend budget allocation, bid, audience, and creative optimizations.
Design, run, and interpret A/B tests on landing pages, site experience, promotions, and ad creative.
Evaluate cross-channel attribution using platform data, GA4, and incrementality or marketing mix modeling approaches where available.
Analyze customer behavior, including 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, including Black Friday/Cyber Monday and holidays.
Audit tracking and data quality, including pixels, UTMs, conversion APIs, and GA4 events, in collaboration with marketing and engineering.
Present findings to non-technical stakeholders with clear, actionable recommendations.