Manager, Data Analytics

WalmartBentonville, AR
Onsite

About The Position

This notice is being provided as a result of the filing of an Application for Permanent Alien Labor Certification. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210 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.

Requirements

  • 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.
  • 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 AuditBoard
  • 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

Responsibilities

  • Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects
  • Serves as a technical lead for analytics projects
  • Works with project teams and business partners to determine project goals
  • Partners with external entities
  • Develops contingency plans for data analysis
  • Determines modeling based on business needs
  • Identifies the need for use of advanced analysis methodologies
  • Develops case theories across business areas
  • Develops assessments of key risks
  • Prioritizes and executes work streams for highly complex or significant allegations
  • Directs the analysis of data
  • Gathers data and develops reports as needed
  • Utilizes business knowledge to ensure data supports project goals
  • Analyzes data based on identified variables
  • Reviews data results to ensure accuracy
  • Communicates results and insights to the project team and business partners
  • Presents data insights and recommendations to key stakeholders
  • Consults with internal organizations
  • Develops insights based on data analysis on highly complex or significant matter
  • Develops big data modeling to identify vulnerabilities
  • Applies analytical results to project goals
  • Identifies trends and key insights
  • Translates results into business actions
  • Provides data-based analysis and insights to drive investigative analytics strategy
  • Coordinates the development of complete datasets needed to support project-level models
  • Designs statistical or heuristic models for applications involving multiple statistical techniques and stakeholders
  • Coordinates with internal and external customers to build consistent and accurate strategies for using functional area metrics
  • Develops statistical or segmentation models
  • Identifies critical factors influencing project objectives
  • Performs analyses utilizing advanced software and techniques
  • Evaluates and interprets results accurately
  • Presents conclusions, deliverables, and recommendations to stakeholders to support the business
  • Coordinates, completes, and oversees job-related activities and assignments
  • Develops and maintains relationships with key stakeholders
  • Supports plans and initiatives to meet customer and business needs
  • Identifies and communicates goals and objectives
  • Builds accountability for and measures progress in achieving results
  • Identifies and addresses improvement opportunities
  • Demonstrates adaptability and promotes continuous learning
  • Develops business intelligence solutions with customers and other system areas
  • Ensures solution testing and validation
  • Oversees upgrades and release schedules for business intelligence and database products
  • Manages production of scheduled regulatory reports
  • Ensures requirements are met to support implementations
  • Manages the compliance reporting database to ensure accuracy and completeness of the data
  • Ensures development of system documentation
  • Develops materials for state of the art user interfaces that enable business users to interpret trends and exceptions
  • Reviews change implementation before and after production installations
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