MI
MintedData Analyst
Data Analyst managing marketing measurement for Minted, connecting consumers with independent artists. Utilizing data to optimize acquisition, retention, and revenue while using cutting - edge analytics tools.
About the role
- Lead deep-dive analysis as subject matter expert for web analytics: analyze user behavior, conversion funnels, and content engagement across global web properties
- Stitch & synthesize data: query, extract, and blend large datasets from web analytics platform, BI database, CRM, and marketing automation platforms
- Develop actionable insights beyond dashboards on user journeys, segmentation, friction points, trends, and projections to inform strategy
- Build compelling visualizations: design, develop, and maintain dashboards and reports in Tableau, Looker Studio, Adobe Analytics, and similar tools
- Fuel experimentation & personalization: partner with A/B testing and personalization teams to formulate hypotheses, design measurement frameworks, and conduct post-test analysis
- Apply AI: evaluate internal AI tools to increase velocity, timeliness, and quality of insights
- Model & forecast: develop and run statistical models to forecast key web metrics, predict user behavior, and identify key drivers of success
- Champion data-driven culture: act as consultant and advocate for data literacy within marketing, proactively share insights and help stakeholders ask the right questions
Requirements
- 8+ years experience working in a large B2B, D2C, SaaS, or enterprise cloud company
- 5+ years of experience in a data analytics role, preferably within marketing, web analytics, or product analytics
- Deep, hands-on experience with at least one enterprise-level web analytics platform (e.g., Adobe Analytics, Google Analytics 4) in a very high web traffic environment
- Experience with A/B/n testing methodologies and statistical significance
- Experience with data warehouses like BigQuery, Snowflake or similar
- Proficiency in SQL for querying complex, large-scale datasets
- Knowledge of statistical programming languages, such as Python or R is a plus
- Familiarity with analyzing data from CRM (e.g., Salesforce) and Marketing Automation (e.g., Marketo) platforms to create a full-funnel view
- Proven expertise in creating impactful dashboards and data visualizations using tools like Tableau, Looker Studio
- Exceptional communication and storytelling skills, with the ability to translate analytical findings into clear, concise, and actionable recommendations
- Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience is preferred
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