About the position
The Senior Analyst, Marketing Experimentation & Personalization helps in designing and implementing experiments, analyzing results, making recommendations based on findings, developing personalization strategies, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. This newly formed team is seeking expert individual contributors in experimentation and marketing analytics to drive our marketing and personalization initiatives. The ideal candidate will be skilled in advanced analytics and analytical tools and languages such as Python, R, SQL, Adobe Analytics, and Tableau. They will also possess expertise in Applied Statistics, Data Science, Marketing analytics & Experimentation principles.
Responsibilities
- Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
- Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
- Supports end users, solve problems and troubleshoots numerous issues.
- Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
- Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.
Requirements
- Must be 18 years of age or older.
- Must be legally permitted to work in the United States.
- Bachelor's degree in a field of study related to the job.
- 5 years of experience in data mining, statistical analysis, auditing, and/or forecasting.
Nice-to-haves
- Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience.
- 6+ years of experience in data mining, statistical analysis, auditing, and/or forecasting.
- Demonstrated expertise on data analysis and data visualization.
- Experience in Marketing/media analytics and experience running marketing experiments.
- Experience with experimentation and web analytics tools like Adobe Analytics, Adobe Target etc.
- Expertise in experimental design and causal inference.
- Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML.
- Ability to visualize data using Tableau.
- Experience managing multiple projects and working in a fast-paced environment.
- Strong written and verbal communications skills.
- Ability to persuade, inform, and influence others based on findings.
