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What you'll do...
Position:
Manager, Data Analytics
Job Location:
905 Customer Dr, Bentonville, AR 72716
Duties:
Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; partnering with external entities; developing contingency plans for data analysis; determining modeling based on business needs; identifying the need for use of advanced analysis methodologies; developing case theories across business areas; developing assessments of key risks; prioritizing and executing work streams for highly complex or significant allegations; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by consulting with internal organizations; developing insights based on data analysis on highly complex or significant matter; developing big data modeling to identify vulnerabilities; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designing statistical or heuristic models for applications involving multiple statistical techniques and stakeholders; coordinating with internal and external customers to build consistent and accurate strategies for using functional area metrics; developing statistical or segmentation models; identifying critical factors influencing project objectives; performing analyses utilizing advanced software and techniques; evaluating and interpreting results accurately; and presenting conclusions, deliverables, and recommendations to stakeholders to support the business. Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Develops business intelligence solutions with customers and other system areas by ensuring solution testing and validation; overseeing upgrades and release schedules for business intelligence and database products; managing production of scheduled regulatory reports; ensuring requirements are met to support implementations; managing the compliance reporting database to ensure accuracy and completeness of the data; ensuring development of system documentation; developing materials for state of the art user interfaces that enable business users to interpret trends and exceptions; and reviewing change implementation before and after production installations.
Minimum education and experience required:
4 years of experience in conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related experience; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field plus 2 years of experience in conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related experience.
Skills required: Must have experience with:
Data extraction and analysis with the development of queries by using SQL and Google Big Query language; Alteryx as a ETL tool (Extract, Transform and Load) and Power BI to transform, enrich and analyze big data; Audit planning, fieldwork and wrap up documentation by using Audit Board; Data extraction, transformation and loading by using Tableau Prep; Data analysis and extraction using SAP; Discovery Data and Data Enrichment by using tools such as SAP, Power BI, SQL, Alteryx, M, and DAX; Data cleaning and enrichment using M and DAX languages; Finance and Accounting including interpreting financial data and draw meaningful insights from it; Audit experience working with local and multinational markets; SOX controls, substantive, and analytical procedures; Risk Assessments and Control Environment Analysis experience with IIA standards. Employer will accept any amount of experience with the required skills.
Rate of pay:
$113,589 - $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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About 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+
Employees
Bentonville
Headquarters
$611B
Valuation
Reviews
2.7
10 reviews
Work-life balance
3.2
Compensation
2.1
Culture
2.3
Career
1.8
Management
1.9
35%
Recommend to a friend
Pros
Friendly and supportive coworkers
Flexible hours and scheduling
Good for part-time work
Cons
Low pay and poor compensation
Limited advancement and growth opportunities
Poor management practices and disorganization
Salary Ranges
29,572 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0 reports
$125,350
total per year
Base
-
Stock
-
Bonus
-
$106,548
$144,152
Interview experience
2 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Offer rate
100%
Experience
Positive 100%
Neutral 0%
Negative 0%
Interview process
1
Application Review
2
Hiring Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Round Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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