Track, analyze, and report on various marketing performance metrics, including Customer Acquisition Cost (CAC), New Arrivals, Subscriptions, Cancels, and Churns.
Develop and maintain the Lifetime Value (LTV) to CAC ratio models to ensure sustainable growth.
Monitor full-funnel conversion rates, identifying leakage points from awareness to conversion.
Identify trends and provide actionable insights to marketing and leadership teams to improve campaign efficiency and effectiveness.
Design and analyze A/B tests (split testing) for landing pages, ad creatives, and email subject lines to scientifically prove what works.
Perform cohort analysis to understand retention behaviors and predict future revenue.
Collaborate with the Data and Analytics team to ensure data integrity, maintain reporting dashboards, and support data-driven decision-making across the marketing function.
Manage the marketing attribution model to correctly assign value to different marketing channels (Paid Search, Social, Organic, Email).

Requirements

2–4 years of experience in data analysis, specifically within a marketing or product growth function.
Strong proficiency in SQL is required for querying databases.
Experience with data visualization tools (e.g., Tableau, PowerBI, Looker, or Google Data Studio) to create self-service dashboards.
Advanced Excel/Google Sheets skills (Pivot tables, VLOOKUPs, index/match).
Familiarity with Web Analytics tools (e.g., Google Analytics 4).
Familiarity with Product Analytics tools (e.g., Amplitude)
Understanding of statistical concepts (statistical significance, confidence intervals) relevant to testing.
Strong "data storytelling" abilities—the capability to explain complex data findings to non-technical stakeholders clearly and concisely.

Benefits

Competitive salary
Opportunities for professional growth and development
Inclusive hiring process
Reasonable accommodations for applicants with differing abilities
Fostering a diverse and inclusive culture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisSQLA/B testingcohort analysisdata visualizationExcelGoogle Sheetsstatistical conceptsmarketing attribution modelCustomer Acquisition Cost (CAC)

Soft skills

data storytellingcollaborationactionable insightscommunicationproblem-solving