Summary of Role/Position
We are looking for a Data Analyst to join our team and play a key role in driving marketing performance through data analysis, A/B testing, and website optimization. This person will work cross-functionally with marketing, product, and engineering teams to measure campaign effectiveness, design and analyze experiments, and surface insights from website metrics that inform strategy and drive growth.
YOU WILL:
- Analyze marketing campaign performance across channels including email, paid media, SEO, and loyalty programs to measure incremental impact and ROI
- Design, execute, and analyze A/B and multivariate tests across website pages, landing pages, and marketing funnels
- Define test hypotheses, sample sizes, success metrics, and statistical significance thresholds to ensure rigorous experimentation
- Monitor and report on key website KPIs including traffic, bounce rate, conversion rate, average order value, and session-level behavior
- Utilize web analytics platforms (Google Analytics / GA4, BigQuery) to uncover user behavior patterns and identify optimization opportunities
- Map and analyze customer journeys across the site to identify friction points and drop-off areas
- Build and maintain dashboards and reports to communicate marketing and website performance to stakeholders
- Translate business questions into analytical projects, conduct end-to-end analysis, and communicate actionable insights
- Collaborate with cross-functional teams to integrate test results and analytics findings into marketing strategy
YOU MUST HAVE:
- Bachelor's or Master's degree in Data Analytics, Statistics, Marketing, Business Analytics, or a related quantitative field
- 2 years of professional experience in marketing analytics, web analytics, or a related analytical role
- Proficiency in SQL and Excel for data extraction, analysis, and reporting
- Familiarity with Python for statistical analysis
- Hands-on experience with web analytics tools (Google Analytics / GA4, BigQuery, or Adobe Analytics)
- Experience with e-commerce or retail marketing data
- Knowledge of SEO/SEM metrics and best practices
- Strong understanding of A/B testing methodologies, statistical significance, and experimentation best practices
- Experience with data visualization tools (Tableau, Looker, Power BI, or similar)
- Good communication skills and ability to translate data into actionable insights for non-technical stakeholders
A reasonable estimate for salary based on education, experience, and geographic location is: $80,000-$95,000
The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.
