[Remote] Marketing Analyst at Republic Services

United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing, Waste ManagementIndustries

Requirements

Proficiency in SQL, Python, and working with cloud data platforms such as Snowflake
Experience with data visualization tools, particularly Power BI
Knowledge of customer experience measurement methodologies and metrics
Demonstrated experience with machine learning algorithms, particularly k-means clustering, classification models, and sentiment analysis techniques
Minimum of 4 years of business marketing experience

Responsibilities

Develop and maintain executive dashboards that effectively visualize key customer experience metrics in a clear, actionable format
Create compelling data visualizations that tell meaningful stories about customer behavior and experiences
Prepare executive-level reporting packages that highlight key customer metrics, trends, and insights
Design and implement visualization techniques that effectively communicate complex customer data patterns
Develop customer segmentation models using k-means clustering and other unsupervised learning techniques to identify distinct customer groups
Build predictive models for customer churn analysis to identify at-risk customers and recommend retention strategies
Conduct sentiment analysis on customer feedback data to quantify customer satisfaction and identify improvement opportunities
Apply machine learning algorithms to analyze customer journey data across multiple channels
Calculate and analyze customer lifetime value using predictive modeling techniques
Collaborate with cross-functional teams to translate business questions into visual insights and data science projects
Monitor developments in data visualization and customer analytics to identify potential improvements
Document and maintain the company's customer reporting methodologies and analytics models
Optimize existing visualization and data science workflows to increase efficiency and streamline reporting processes

Skills

Key technologies and capabilities for this role

data visualizationexecutive dashboardscustomer segmentationk-means clusteringchurn predictionsentiment analysismachine learningpredictive modelingcustomer lifetime value