Senior Decision Analytics Strategist

The Home Depot

United States

On-site

USD 110,000 - 165,000

Full time

14 days+

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Job summary

The Home Depot is seeking a Senior Decision Analyst to translate complex data into strategic insights across Merchandising, Finance, Operations, Supply Chain, Online and IT. You will design analytics, dashboards, and reporting tools, and translate business questions into actionable insights.

The role requires collaborating with cross-functional partners to deliver high quality analytical solutions that influence key decisions.

Qualifications

Minimum age of 18.
Must be legally permitted to work in the United States.
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
Ability to apply experience in SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools
Working knowledge of Microsoft Excel and Power Point
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 problems 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.

Responsibilities

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.
10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
5% - Project Management & Support - Supports end users, solve problems and troubleshoots numerous issues.
15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
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.