(USA) Senior, Data Analyst - Investigative Risk Operations Compliance Center (IROCC)
Walmart
What you'll do at
Position Summary...
The Senior Data Analyst will play a pivotal role in driving data-informed decisions and building analytical tools that support high-impact investigations and risk mitigation strategies across Global Governance.What you'll do...
The selected hire will work from our beautiful new home office in Bentonville, AR!
You’ll work with our attorneys, investigators and other partners to build practical tools that support Walmart Global Investigations.
Build dashboards or other tools relevant to the Investigations you have been assigned.
Work as part of a team - leading the analytical workstream on highly sensitive investigations.
Think proactively and build tools that help Walmart spot and mitigate potential risk.
Work with all areas of the business to find and ingest relevant data sets.
Collaborate with data stewards and other teams to gather and process security requests and ensure compliance with Walmart security policies.
What you’ll bring…
Solid SQL skills and experience with Google Big Query.
Ability to write in Python or have used commercially available ETL tools such as Alteryx, Tableau Prep or Dataiku.
The ability to create an easy-to-use and relevant tool using Tableau, Power BI or Looker.
A proven track record of partnering cross-functionally.
The ability to identify and champion opportunities to innovate and improve processes
Strong verbal and written communication skills and the ability to confidently interact with executive leaders.
Strong exploratory data analysis skills and the ability to make analytical, data driven recommendations and solutions.
Bonus points if you have…
Experience with investigations in a retail environment.
Experience with languages used to manipulate data and draw insights from large data sets (SQL, Python, etc.)
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full job description can be made available as part of the hiring process.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00-$155,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
