Plein Air Agency is looking for a Marketing Data Analyst to turn raw data into insights that drive growth by digging into large datasets, automating workflows, and building models that guide smarter marketing decisions.
Requirements
- Proven experience building and maintaining BI dashboards and data visualizations.
- Strong knowledge of SQL and data querying.
- Exposure to cloud data warehouses (Snowflake, BigQuery, Redshift).
- Excellent understanding of lifecycle marketing metrics (CAC, LTV, retention, churn, attribution, etc.).
- Proficiency in Python for data analysis, modeling, and automation.
- Experience in A/B testing, predictive modeling, and advanced statistical methods.
- Familiarity with CRM, CDP, or digital marketing platforms.
Responsibilities
- Develop, design, and maintain BI dashboards (Power BI, Tableau, or similar) to track campaign performance, customer behavior, and overall marketing effectiveness.
- Build and present storyboards and data visualizations that clearly communicate insights and recommendations to business stakeholders.
- Conduct in-depth marketing analytics across acquisition, retention, loyalty, and campaign performance.
- Apply statistical methods and modeling techniques to measure ROI, customer lifetime value, attribution, and incremental impact.
- Roll up your sleeves to perform hands-on data work—pulling, cleaning, transforming, and analyzing datasets.
- Write SQL/Python scripts for advanced analytics, automation, or data manipulation.
- Proactively identify new ways to leverage data for improved targeting, personalization, and campaign optimization.
Other
- 4+ years of experience in marketing analytics, business intelligence, or related field.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Ability to storyboard insights for clear and persuasive communication with stakeholders.
- Comfortable in a hands-on role—self-starter who takes ownership and executes independently.
- Partner with Guest Engagement Marketing Manager to translate business questions into data analyses and actionable strategies.
