Sr Analyst, Marketing Experimentation & Personalization

Home Depot; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Senior Analyst in Marketing Experimentation & Personalization, where you will design and implement experiments that drive marketing initiatives. This role offers the opportunity to leverage advanced analytics and analytical tools to create impactful strategies. You will work collaboratively with cross-functional teams, using your expertise in data analysis and visualization to provide actionable insights. If you are passionate about data-driven decision-making and thrive in a fast-paced environment, this is the perfect opportunity for you to make a significant impact in the marketing domain.

Qualifications

• 6+ years of experience in data mining, statistical analysis, and marketing analytics.
• Expertise in Python, R, SQL, and data visualization tools like Tableau.

Responsibilities

• Analyze large volumes of data using various analytical tools and languages.
• Collaborate with stakeholders to deliver high-quality analytics solutions.

Skills

Data Analysis

Statistical Analysis

Marketing Analytics

Critical Thinking

Communication Skills

Project Management

Education

Bachelor's degree in a related field

Master's degree in a quantitative field

Tools

Python

R

SQL

Adobe Analytics

Tableau

SAS

GCP BigQuery

Jupyter Notebook

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

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.

Key Responsibilities:

1. 65% - Data Analytics - 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.
2. 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
3. 5% - Project Management & Support - Supports end users, solve problems and troubleshoots numerous issues.
4. 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
5. 5% - Technical Exploration & Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.

Direct Manager/Direct Reports:

• This position reports to the Manager
• This position has 0 direct reports

Travel Requirements:

• No travel required.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• 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.
• Demonstrated expertise on how to translate analysis into effective presentations.
• Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems.
• 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 apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python and similar tools.
• Working knowledge of Microsoft Excel and Power Point
• Ability to partner with requesting organizations to build KPI frameworks.
• 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.
• Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problem solving.
• Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
• Superior interpersonal skills and ability to collaborate actively and work in a team environment.
• Ability to quickly learn and adapt to new technologies, tools, and techniques.

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:

• 5

Preferred Years of Work Experience:

• 6

Competencies:

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict