What you'll do...

Position: Data Analyst III

Job Location: 702 SW 8th Street, Bentonville, AR 72716

Duties: Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working. Data Source Identification: Understands the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Data Quality Management: Promotes data quality awareness. Profiles, analyzes, and assesses data quality. Tests and validates data quality requirements under supervision of others. Executes operational Data Quality Management procedures under supervision of others. Conducts data cleansing activities to remove data quality defects, improves data quality, and eliminates unused data under supervision of others. Grants user access to data. Learns company and regulatory policies on data. Learns data governance processes, practices, policies, and guidelines. Data Visualization: Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Works with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customizes communication style based on stakeholder under guidance and leverages rational arguments. Guides and mentors’ junior associates on story types, structures, and techniques based on context. Exploratory Data Analysis: Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the identification and application of statistical techniques based on requirements. Applies suitable technique under direction from leadership. Assists in the planning, design and 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 analyzes data to identify patterns, trends, outliers, and correlations. Conducts statistical experiments (for example hypothesis tests, confidence intervals) and builds basic statistical models using packages like Statistical Analysis Systems (SAS). 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.

Minimum education and experience required: Bachelor’s degree or the equivalent in Computer Science, Information Technology, Engineering or a related field plus one (1) year of data analytics experience, or related experience OR three (3) years of data analytics experience, or related experience.   

Skills required: Must have experience with: designing and building analytical reports and dashboards using different BI tools such as PowerBI or Tableau; performing data analysis from multiple data sources using SQL and Python; defining and monitoring the KPI’s of the applications using data visualization techniques; identifying the patterns and trends in the data using SQL and Python and performing root cause analysis; building and interpreting the predictive models using Python and KNIME; manipulating data and providing recommendations to the stakeholders from large data sets using Alteryx, SQL, and SAS; collaborating with different stakeholders and ensuring the prioritization of the product backlog and the implementation; building data pipelines from multiple data sources to migrate data to a common data platform using Python and SQL;. maintaining the data integrity and accuracy across the product dashboards in PowerBI; and performing A/B testing to provide recommendations to improve the overall product performance. Employer will accept any amount of experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.