招聘

Online Senior Decision Analyst – Experimentation
STORE SUPPORT CENTER, ATLANTA - 9090
·
On-site
·
Full-time
·
1mo ago
必备技能
Python
SQL
GCP
Tableau
Project Management
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
As a Senior Analyst on the Online Experimentation Team, you will help cross-functional stakeholders examine new ideas by formulating hypotheses and designing experiments to test those hypotheses - translating problem statements into experiment requirements, allowing them to accurately quantify the impact of their features. You will monitor and evaluate experiment results to measure impact and inform future strategies. You will continuously stay up to date with industry trends and best practices in experimentation and personalization.
Key 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 Big Query, 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.
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:
- Expand descriptive and prescriptive analysis for experimentation: Enhance data capture for experiments. Conduct in-depth analyses to identify patterns and trends. Apply advanced statistical methods to recommend actionable insights that clarify impacts and resolve discrepancies. Set standards and guidelines for process and analysis.
- Effective Storytelling with Data: Create visualizations and compelling narratives for complex situations and trends; tailoring explanations to a variety of audiences.
- ML & AI for experimentation: Automate and enable more intuitive data querying and analysis. Explore various tools to enhance team capabilities. Develop scalable frameworks to detect recurring patterns across experiments.
- Effective Communication & Collaboration: Comfortable with collaborating with team members and cross-functional partners.
- Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience
- 6+ years of experience in 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
- Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools
- Working knowledge of Microsoft Excel and Power Point
- Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
- Produce deep, statistical analysis in service of predictive insights
- Ability to partner with requesting organizations to build KPI frameworks
- Ability to code in Python, R, SQL, Jupyter Notebook, Vertex
AI 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.
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
Minimum Leadership Experience:
- No previous leadership experience
Preferred Leadership Experience:
- No previous leadership experience
Certifications:
- None
Competencies:
- Action Oriented
- Collaborates
- Drives Engagement
- Communicates Effectively
- Customer Focus
- Drives Results
- Manages Conflict
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关于The Home Depot

The Home Depot
PublicThe Home Depot, Inc., often referred to as Home Depot, is an American multinational home improvement retail corporation which sells tools, construction products, appliances, and services including fuel and transportation rentals.
10,001+
员工数
Atlanta
总部位置
$408B
企业估值
评价
3.5
10条评价
工作生活平衡
2.8
薪酬
2.5
企业文化
3.7
职业发展
2.9
管理层
3.0
65%
推荐给朋友
优点
Good coworkers and team atmosphere
Excellent health benefits
Learning opportunities and training programs
缺点
Long hours and busy periods
Low pay and compensation issues
Poor management and communication
薪资范围
3个数据点
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Associate Data Scientist
0份报告
$113,282
年薪总额
基本工资
-
股票
-
奖金
-
$96,290
$130,274
面试经验
5次面试
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 40%
负面 60%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Background Check
5
Offer
常见问题
Behavioral/STAR
Customer Service Scenarios
Past Experience
Culture Fit
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