Data Analyst II

Walmart

1mo ago

Job
Full-time
Junior Level
Data
Bentonville

AI generated summary

You need a relevant bachelor's degree or 2 years' experience in data analysis, plus skills in SQL, Python, or BI tools; industry experience in retail or eCommerce is a plus.
You will support improvement projects, manage stakeholders, analyze data quality, develop models, and create visualizations while ensuring compliance with company policies and best practices.

Requirements

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field
Option 2: 2 years' experience in data analysis, data science, statistics, or related field
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

Supports continuous improvement projects and change management initiatives through stakeholder management, strong initiative, and critical thinking. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To Support the development of business cases and recommendations. Drive delivery of project activity and tasks assigned by others. Support process updates and changes. Support, under guidance, in solving business issues.
Data Source Identification: Requires knowledge of Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To Understand the appropriate data set required to develop simple models by developing initial drafts. Support the identification of the most suitable source for data Maintains awareness of data quality.
Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To Identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes.
Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance, and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context.
Data Quality Management: Requires knowledge of Data quality management techniques and standards; Business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To Promote data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements under supervision of others. Execute operational Data Quality Management procedures under supervision of others. Conduct data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data under supervision of others. Grant user access to data. Learn company and regulatory policies on data. Learn data governance processes, practices, policies, and guidelines.
Exploratory Data Analysis: Requires knowledge of relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; Statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping); Research analysis standards and activities; Documentation procedures such as drafting, editing, Bibliography format; Relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends. To Support identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Support data collection and evaluation. Explore data using simple tools. Execute existing statistical models and explain how they relate to a client's situation. Analyze data and computes descriptive statistics that identify trends, outliers, and correlations.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

FAQs

What are the main responsibilities of the Data Analyst II position?

The Data Analyst II is responsible for supporting continuous improvement projects, stakeholder management, implementing business solutions, data source identification, data visualization, data quality management, and exploratory data analysis.

What qualifications are required for this position?

The minimum qualifications include either a Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field, or 2 years of experience in data analysis, data science, statistics, or a related field.

What are the preferred qualifications for this role?

Preferred qualifications include a Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or a related field, related industry experience (such as retail or eCommerce), and proficiency in data analysis and Business Intelligence tools and scripting languages like SQL, Python, Spark, Scala, R, Power BI, or Tableau.

What is the salary range for the Data Analyst II position?

The annual salary range for this position is $70,000.00 to $130,000.00.

Are there performance bonuses associated with this role?

Yes, additional compensation includes annual or quarterly performance bonuses.

What benefits are offered to employees in this position?

Benefits include medical, vision, and dental coverage, a 401(k) plan, company-paid life insurance, paid time off, short-term and long-term disability, and a Walmart-paid education benefit program, among others.

Does this position involve teamwork or collaboration?

Yes, the Data Analyst II works collaboratively with team members and business partners to achieve objectives and build strong relationships.

Is there a focus on data quality management in this role?

Yes, the Data Analyst II is responsible for promoting data quality awareness, profiling and assessing data quality, and conducting data cleansing activities.

What tools will I be using in this position?

The role requires knowledge of various data visualization tools and languages, including but not limited to Python, R, Tableau, Power BI, SQL, and Excel.

What support and development opportunities are available for associates?

The position includes mentoring and developmental opportunities, with a focus on feedback and coaching to help associates grow their skills.

Walmart

https://www.walmart.com/

Retail & Consumer Goods

Industry

10,001+

Employees

1962

Founded Year

Mission & Purpose

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands (Sam's Club, Bonobos, Moosejaw and many more!), you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023. This is that place where your passions meet purpose. Join our family and build a career you’re proud of.