What you'll do...
Position: Manager, Data Analytics
Job Location: 811 Excellence 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. 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. Implements compliance reporting strategy by identifying customer and operational needs and developing customized reports to reflect reporting requirements; providing guidance and direction on best practice reporting methods; developing internal reports to monitor obligations, risk mitigation plans, procedures, and long term strategy; identifying performance standards, measuring progress, and adjusting performance accordingly to meet set standards; reviewing and prioritizing report requests; reviewing new reporting concepts and determining business impact; analyzing project requests, developing solutions and providing implementation recommendations; leading cross functional teams responsible for implementing solutions; communicating projects, current reports, and strategy to stakeholders; reviewing third party or industry reporting systems and solutions for implementation options; and working with internal teams to test and implement new reporting technology.
Minimum education and experience required: Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field plus 2 years of experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related experience.
Skills Required: Must have experience with: Data analysis and process building using Python and R (Pandas, NumPy, and data visualization libraries); Designing and maintaining artificial intelligence pipelines for model deployment and monitoring; Cloud-based DBMS (e.g., Google BigQuery) for large-scale data analytics; Communicating technical insights to business stakeholders through data storytelling; Designing dashboards and reports with Power BI and interactive applications using Streamlit; Building and evaluating machine learning models (classification, regression, clustering, and deep learning); Project management methodologies - Agile/Scrum practices for analytics projects; Statistical modeling and hypothesis testing for business insights; Data pipeline design and ETL (Extract, Transform, Load) processes, including using Dataiku; Interpreting financial statements (income statement, balance sheet, and cash flow); Market research and deriving actionable business insights from qualitative resources and third-party providers. Employer will accept any amount of experience with the required skills.
Rate of pay: $94,557.00 - 155,000.00 /year
