Sr Analyst, Marketing Experimentation & Personalization (Remote)

About the Role

Key Responsibilities

• Analyze large volumes of data and leverage data analytics tools to create dashboards, reports, and ad-hoc requests using tools such as GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
• Collaborate with other decision analysts to explore new data sources, cleanse, validate, and test data.
• Support end users by solving problems and troubleshooting issues related to analytics and data.
• Work with stakeholders, business partners, developers, and analysts to deliver high-quality analytics solutions.
• Develop additional technical competencies and subject matter expertise, including system and procedure enhancements.
• Manage requests and roadmaps for insights across online merchandising, marketing, and ELT organizations.
• Produce deep statistical analyses to generate predictive insights.
• Partner with requesting organizations to build KPI frameworks.
• Visualize data effectively using Tableau and other tools.
• Translate complex analyses into clear, actionable insights for business clients and decision-makers.

Requirements

• Must be 18 years of age or older and legally permitted to work in the United States.
• Experience in data mining, statistical analysis, auditing, and/or forecasting (minimum 5 years).
• Expertise in data analysis and data visualization.
• Ability to translate analysis into effective presentations.
• Proficiency with database applications, analytical tools, and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle.
• Working knowledge of Microsoft Excel and PowerPoint.
• Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI, and AutoML.
• Experience visualizing data using Tableau.
• Strong written and verbal communication skills.
• Ability to manage multiple projects in a fast-paced environment.
• Critical thinking skills to evaluate solutions and foresee implications.
• Ability to quickly learn and adapt to new technologies, tools, and techniques.

Nice to Have

• Master's degree in Statistics, Analytics, Computer Science, or related field.
• 6+ years of experience in data analysis, data mining, statistical analysis, or forecasting.
• Demonstrated expertise in translating analysis into presentations and insights.
• Experience with VertexAI and AutoML.
• Experience managing insights requests for marketing and online merchandising teams.

Qualifications

• Bachelor's degree in a related field (required).
• Master's degree in a related field (preferred).

Benefits & Perks

• Not specified in the description.