(USA) Senior, Data Analyst

Walmart•Bentonville, AR

2d•Onsite

About The Position

Walmart is seeking a Senior Data Analyst to leverage advanced data analysis, modeling, and visualization techniques to support business decision-making. This role requires expertise in identifying and extracting relevant data, ensuring data quality, and translating complex business requirements into actionable insights. The successful candidate will collaborate across functions to develop data-driven solutions that enhance operational efficiency and strategic initiatives. Proficiency in SQL, Tableau, and statistical methods is essential to deliver clear, impactful reports and recommendations that align with Walmart’s business objectives and data governance standards. The Spark Driver Experience Data Analytics team delivers actionable insights to support Walmart LMD by leveraging advanced data management, analysis, and visualization techniques. Utilizing tools such as SQL, Python, and Tableau, the team ensures data quality and develops comprehensive reports and dashboards. Collaborating with stakeholders, they translate complex data into clear business solutions that drive informed strategies and continuous improvement. This team plays a vital role in optimizing processes and supporting data-driven decisions aligned with Walmart’s operational goals, contributing to enhanced business outcomes and an improved driver experience.

Requirements

Extensive experience in data analysis, including proficiency with SQL and ETL processes to extract, transform, and load data efficiently.
Strong knowledge of business intelligence tools such as Tableau for advanced data visualization and dashboard creation.
Expertise in statistical methods and exploratory data analysis to identify trends, patterns, and actionable insights.
Understanding of data quality management, data governance, and enterprise data architecture principles.
Ability to translate complex business requirements into data-driven solutions aligned with organizational strategy.
Proven skills in managing large datasets and applying big data analytics to support business decision-making.
Effective communication skills to present data insights clearly to stakeholders and influence business outcomes.
Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field.
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years' experience in data analysis, data science, statistics, or related field.

Nice To Haves

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)

Responsibilities

Identify and source relevant data from multiple business domains, ensuring alignment with data quality standards and business requirements.
Perform data extraction, cleansing, and validation to maintain high data integrity for analysis.
Develop and apply statistical models and exploratory data analysis techniques to uncover trends, patterns, and insights.
Translate complex business problems into data-driven solutions using appropriate analytical methods and tools.
Design and deliver clear, impactful data visualizations and dashboards to support decision-making.
Collaborate with stakeholders to interpret data insights and recommend actionable business strategies.
Monitor and manage data quality, accessibility, and governance in accordance with enterprise standards.