Plein Air Agency
Overview
Join Plein Air Agency as a Marketing Data Analyst. Plein Air Agency is a leading marketing consultancy focusing on the restaurant and hospitality industry, providing solutions from Creative, Production, Media Strategy & Buying, Digital Content to Website and Mobile App development. The agency is fully remote.
Key Responsibilities
Develop, design, and maintain BI dashboards (Power BI, Tableau, or similar) to track campaign performance, customer behavior, and overall marketing effectiveness.
Build & 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.
Partner with Guest Engagement Marketing Manager to translate business questions into data analyses and actionable strategies.
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.
Requirements
Bachelor’s degree in Statistics or Computer Science; Master’s degree a plus.
4+ years of experience in marketing analytics, business intelligence, or related field.
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.).
Strong analytical thinking, attention to detail, and problem‑solving skills.
Ability to storyboard insights for clear and persuasive communication with stakeholders.
Self‑starter who takes ownership and executes independently.
Preferred Skills
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.
Other Information Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Information Technology | Industries: Advertising Services
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Key Responsibilities
Develop, design, and maintain BI dashboards (Power BI, Tableau, or similar) to track campaign performance, customer behavior, and overall marketing effectiveness.
Build & 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.
Partner with Guest Engagement Marketing Manager to translate business questions into data analyses and actionable strategies.
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.
Requirements
Bachelor’s degree in Statistics or Computer Science; Master’s degree a plus.
4+ years of experience in marketing analytics, business intelligence, or related field.
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.).
Strong analytical thinking, attention to detail, and problem‑solving skills.
Ability to storyboard insights for clear and persuasive communication with stakeholders.
Self‑starter who takes ownership and executes independently.
Preferred Skills
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.
Other Information Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Information Technology | Industries: Advertising Services
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