招聘
What you'll do...
Position:
Senior Data Analyst
Job Location:
2101 SE Simple Savings Dr, Bentonville, AR 72712
Duties:
Analyzes and interprets information for one or more initiative work streams to improve business efficiency by using various analytical methodologies; developing creative solutions within business areas that reduce cost and/or meet business goals; using judgment to assign what activities must be done; and ensuring data accuracy. Develops and directs one or more work streams of a cross-functional project to achieve desired results by ensuring understanding of scope of work; organizing timelines and deliverables; facilitating meetings involving project teams to analyze, plan, and implement project initiatives; taking corrective action; and reporting results and deliverables to supervisors and stakeholders. Collaborates cross-functionally on assignments with internal and external stakeholders to understand the results of data analyses and research by communicating results and findings. Develops tools that support decision making and business cases by summarizing needed information; determining what information must be reported; ensuring customer needs are met; and analyzing an initiative's impact to the business. Assumes duties of Project Manager III, Innovation in the absence of the Project Manager III, Innovation by attending meetings; working directly with the project team members on specific projects and analyses; performing analyses; providing directional advice and guidance related to defined logistical issues; and determining which issues should be elevated to a higher priority.
Minimum education and experience required:
Bachelor’s degree or the equivalent in Computer Science, Information Technology, Engineering or a related filed plus 2 years of data analytics experience or related experience.
Skills Required:
Must have experience with: Data Querying using SQL through large datasets and Optimizing queries / processes; Designing and implementing dashboards with Tableau and Power BI; Database Management Systems and data warehouses; Coding in Python Language; Exploratory data analysis with Data Cleaning and Preparation; Microsoft Excel or similar tool; Creating / maintaining scheduled jobs and scripts and using tools like Tableau Prep for ETL routines; Implementing technical documentation to facilitate maintenance and knowledge sharing; Ensuring Data Governance / Data Quality; Understanding requirements, collaborating with different teams, and communicating data insights for stakeholders and non-technical audiences with varying levels of technical expertise; Descriptive analysis as part of Data mining to summarize data and uncover patterns / trends; and Maintaining existing reports, dashboards, or other tools by providing technical support, performing root cause analysis, and implementing corrective actions as needed. Employer will accept any amount of experience with the required skills.
Rate of pay:
$90,000 - $180,000/year
Wal-Mart is an Equal Opportunity Employer.
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
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关于Walmart

Walmart
PublicWalmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries. It is headquartered in Bentonville, Arkansas.
10,001+
员工数
Bentonville
总部位置
$611B
企业估 值
评价
2.7
10条评价
工作生活平衡
3.2
薪酬
2.1
企业文化
2.3
职业发展
1.8
管理层
1.9
35%
推荐给朋友
优点
Friendly and supportive coworkers
Flexible hours and scheduling
Good for part-time work
缺点
Low pay and poor compensation
Limited advancement and growth opportunities
Poor management practices and disorganization
薪资范围
29,572个数据点
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0份报告
$125,350
年薪总额
基本工资
-
股票
-
奖金
-
$106,548
$144,152
面试经验
2次面试
难度
3.5
/ 5
时长
21-35周
录用率
100%
体验
正面 100%
中性 0%
负面 0%
面试流程
1
Application Review
2
Hiring Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Round Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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