What you'll do...

Position: Senior Data Analyst

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Data Source Identification: Supports understanding of priority order of requirements/service level agreements; identifies suitable source for data that is fit for purpose; performs initial data quality checks on extracted data. Data Strategy: Understands/articulates/applies principles of defined strategy to routine business problems involving a single function. Understanding Business Context: Provides recommendations to business stakeholders to solve complex business issues; develops business cases for projects with a projected return on investment/cost savings; translates business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact; serves as interpreter/conduit to connect business needs w/tangible solutions/results; identifies/recommends business insights. Tech. Problem Formulation: Translates/co-owns business problems within one's discipline to data related/mathematical solutions; identifies appropriate methods/tools to be leveraged; shares use cases and gives examples to demonstrate how method would solve business problem. Data Visualization: Generates graphical representations of data and model outcomes; designs data representation for multiple data sets; works w/User Experience designers and User Interface engineers to build front end applications; presents to/influences team and business audience using data visualization frameworks and conveys clear messages through business and stakeholder understanding; guides/mentors junior associates on story types, structures, and techniques based on context. Data Quality Management: Promotes/educates on data quality awareness; profiles/analyzes/assesses data quality; tests/validates data quality requirements; measures/monitors data quality; delivers against data quality service level agreements; manages operational Data Quality Management procedures; manages data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data; determines user accessibility and removes or restricts user access; interprets company/regulatory policies on data; educates on data governance processes, practices, policies, and guidelines. Exploratory Data Analysis: Collects/tabulates data and evaluates results to determine accuracy, validity, and applicability; supports identification and application of statistical techniques; applies suitable technique under direction from leadership; assists in planning/design/implementation of exploratory data analysis research projects; understands existing statistical models and identifies and recommends statistical models based on hypothesis; uses advanced Knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations; conducts statistical analysis and builds basic statistical models using relevant packages/software suites.

Minimum education and experience required: Master's degree or the equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR Bachelor's degree or the equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field plus 2 years of experience in data analysis, data science, statistics, or related experience.

Skills required: Must have experience with: Data analysis and visualization using BI tools and making dashboards (Power BI, Qlik-Sense, Tableau, and Excel); Data collection and cleaning using data management tools (SQL, Alteryx, VBA, Python, and R); Data analysis and statistical modeling using Python and R; Optimization and Linear Programming for Supply Chain Efficiency; Advanced Excel and VBA; Microsoft Project, Communication and Collaboration with Cross-Functional Teams; Predictive Modeling and Machine Learning Techniques like TensorFlow, PyTorch, and XGBoost; ETL Process Management using Microsoft SQL server, Python, and Google BigQuery; Ad-hoc Analysis and Data Validation. Employer will accept any amount of experience with the required skills.

Rate of pay: $94,557.00 - 155,000.00/year