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Vida Shoes International

Vida Shoes International is hiring an Analyst for a remote, full-time opportunity focused on e-commerce performance, digital marketing analytics, paid media, and business reporting. This role is suitable for professionals with 2–4 years of experience in e-commerce, digital marketing, or retail analytics who can turn data into actionable business recommendations.

Candidates with strong SQL and Excel skills, experience with Google Analytics 4 (GA4), paid advertising platforms, and business intelligence dashboards can explore this opportunity.

Job Overview

Details Information
Company Vida Shoes International
Job Title Analyst
Location Delhi, India
Work Mode Remote
Employment Type Full-time
Experience Required 2–4 years
Category Data Analytics, E-commerce Analytics, Digital Marketing
Application Mode Online
Salary Listed as ₹70,000–₹100,000 monthly in the job description; currency and exact compensation should be verified with the employer

About Vida Shoes International

Vida Shoes International is recruiting an Analyst to support its online sales and paid customer acquisition activities. The role works across marketing, merchandising, and leadership teams to measure performance, evaluate advertising effectiveness, understand customer behavior, and improve business decisions through data.

The position combines analytical skills, marketing knowledge, and communication to help teams understand which channels are performing well and where improvements may be needed.

Job Description

As an Analyst, you will monitor e-commerce performance and paid media campaigns across multiple advertising channels. You will build dashboards, analyze sales and marketing data, evaluate campaign effectiveness, and identify opportunities to improve return on advertising spend and customer acquisition efficiency.

You will also work with marketing and engineering teams to validate tracking and data quality, support promotional planning, and communicate findings to both technical and non-technical stakeholders.

Key Responsibilities

  • E-commerce performance analysis: Track website traffic, conversion rates, average order value (AOV), revenue, and margins.
  • Paid media reporting: Monitor ROAS, customer acquisition cost (CAC), cost per acquisition (CPA), click-through rate (CTR), and cost per thousand impressions (CPM).
  • Dashboard development: Build and maintain dashboards using Looker Studio, Tableau, or Power BI.
  • Campaign optimization: Analyze Google, Meta, TikTok, Amazon Ads, affiliate, and other channel performance to recommend budget and campaign improvements.
  • A/B testing: Evaluate landing pages, website experiences, promotions, and advertising creatives through structured experiments.
  • Attribution analysis: Assess channel contributions using advertising platform data, GA4, and incrementality or marketing mix modeling (MMM) approaches where available.
  • Customer analytics: Study customer cohorts, retention, lifetime value (LTV), repeat purchase rates, and LTV-to-CAC ratios.
  • Merchandising analytics: Analyze product and category performance, pricing, and discount effectiveness.
  • Forecasting: Support revenue and marketing-spend forecasts for weekly, monthly, and seasonal periods.
  • Data quality monitoring: Audit pixels, UTM parameters, conversion APIs, and GA4 events in collaboration with marketing and engineering teams.
  • Stakeholder communication: Present findings and actionable recommendations to business leaders and other teams.

Eligibility Criteria

Candidates should meet the following requirements:

  • 2–4 years of experience in e-commerce, digital marketing, or retail analytics.
  • Strong SQL skills.
  • Advanced Excel or Google Sheets knowledge.
  • Hands-on experience with Google Analytics 4 (GA4).
  • Experience with at least two major advertising platforms, such as Google Ads, Meta Ads Manager, TikTok Ads, or Amazon Advertising.
  • Experience building dashboards using a business intelligence tool.
  • Understanding of performance marketing metrics, conversion funnels, and attribution.
  • Working knowledge of A/B testing and basic statistics, including statistical significance and sample size.
  • Strong communication skills and the ability to explain analytical findings clearly.
  • Attention to detail and an understanding of data quality challenges.

Preferred Qualifications

The following skills may provide an advantage but are listed as nice-to-have qualifications rather than mandatory requirements:

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

Who Should Apply?

This opportunity may suit professionals who enjoy combining data analysis with digital marketing strategy. It is particularly relevant for candidates who want to work on e-commerce growth, paid acquisition, customer retention, advertising efficiency, and performance reporting.

Candidates with experience in SQL, GA4, advertising analytics, and dashboard development should review the complete job requirements before applying.

How to Apply for Vida Shoes International Jobs

Interested candidates can review the job posting and submit their application through the links below.

Before applying, ensure your resume highlights relevant experience in SQL, Excel, GA4, paid media analytics, BI dashboards, and e-commerce performance measurement.

Final Note

Vida Shoes International’s Analyst position offers an opportunity to work at the intersection of e-commerce, digital marketing, and data analytics. Applicants should verify the compensation details and confirm all role requirements directly with the employer before proceeding.

Disclaimer: This job information is based on the supplied listing. Hiring requirements, compensation, and availability may change. Please use the application link above to check the latest details.

To apply for this job please visit remotejobhiring.com.