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Senior Crime Data Analyst – Senior – Investigative Risk and Operational Compliance Center – Data Analyst
| Company | Walmart |
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| Location | Bentonville, AR, USA |
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| Salary | $80000 – $155000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior |
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Requirements
- Three or more years of experience as a crime analyst or similar.
- Knowledge of principles, practices, and methods of statistical and predictive analysis, geospatial, network and data compilation, tracking, analyses, and communication.
- Experience using Esri ArcGIS products to perform advanced geospatial analysis.
- Experience using Power BI or Tableau, relational databases, SQL, open-source crime statistics datasets, link and network analysis software, standard office software, statistical analysis software, and presentation software.
- Advanced research and analytical writing skills.
- Knowledge of data collection and processing uses and capabilities, and database management techniques.
- Ability to manage a high volume of tasks and competing priorities under tight deadlines.
Responsibilities
- Prepare maps, charts and graphics indicating trends and provide analysis and explanations for these trends, as well as other correlations and indicators.
- Research and compile data from various sources; develop analytical techniques and data-gathering processes; assemble, analyze, and interpret data; identify current and historical trends, patterns, and irregularities; develop and present findings and recommendations.
- Develop, design, and administer databases and data sets; determine requirements; track and report statistics; oversee the integration and migration of data between databases.
- Train end-users in the interpretation of analytical products, use of custom-built applications and dashboards, utilization of data collection instruments, and data management/quality control procedures.
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).
