Data Analyst II

Walmart

1mo ago

Job
Full-time
Junior Level
Data
Business, Operations & Strategy
Bentonville

AI generated summary

You need a Bachelor's or Master's in a related field or 2 years of relevant experience, plus proficiency in data tools like SQL, Python, or Tableau, preferably in retail or eCommerce.
You will analyze data, identify sources, ensure data quality, visualize insights, perform exploratory analysis, and support business cases while collaborating with teams and stakeholders.

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

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. 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. 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. Leadership Expectations Respect for the Individual: Demonstrates and encourages respect for others; drives a positive associate and customer/member experience for all; embraces differences in people, cultures, ideas, and experiences; supports workplaces where associated feel seen and connected through a culture of belonging, so all associates thrive and perform; contributes to an environment allowing everyone to bring their best selves to work. Respect for the Individual: Demonstrates engagement and commitment to the team, developing others through feedback, coaching, mentoring, and developmental opportunities; and recognizes others’ contributions and accomplishments. Respect for the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively to achieve objectives; communicates with impact and listens attentively to a range of audiences; and demonstrates energy and positivity for own work. Acts with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us. Acts with Integrity: Follows the law, our code of conduct and company policies, and encourages others to do the same; supports an environment where associates feel comfortable sharing concerns; reinforces our culture of non-retaliation; listens to concerns raised by associates and takes action; acts with accountability for achieving results in a way that is consistent with our values. Acts with Integrity: Is consistently humble, self-aware, honest, and transparent. Service to the Customer/Member: Delivers results while putting the customer/member first and applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members. Service to the Customer/Member: Adopts a broad perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans. Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions; supports innovation and intelligent risk-taking; and exhibits resilience in the face of setbacks. Strive for Excellence: Implements and supports continuous improvements and willingly embraces new digital tools and ways of working.

FAQs

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.

What are the minimum qualifications required for this role?

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.

Are there any preferred qualifications for the Data Analyst II position?

Yes, preferred qualifications include a Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or a related field, relevant industry experience (such as retail, merchandising, healthcare, or eCommerce), and successful completion of assessments in data analysis and Business Intelligence tools like SQL, Python, Spark, Scala, R, Power BI, or Tableau.

What types of health benefits do we offer?

We offer medical, vision, and dental coverage as part of our health benefits.

What paid time off (PTO) benefits are available?

Employees receive PTO that can be used for vacation, sick leave, holidays, or other purposes, including various types of paid leave such as parental leave, family care leave, and bereavement leave.

Is there an educational benefit program available?

Yes, Walmart offers Live Better U, a Walmart-paid education benefit program that covers tuition, books, and fees for programs ranging from high school completion to bachelor's degrees.

What is the performance-based compensation structure?

Additional compensation includes annual or quarterly performance bonuses.

Where is the primary location for this job?

The primary location for this position is 311 North Walton Boulevard, Bentonville, AR 72716, United States of America.

What types of tools and software knowledge are required for this role?

The role requires knowledge of data visualization tools such as Python, R libraries, Tableau, and Power BI, as well as familiarity with database technologies like SQL and NoSQL.

Are there opportunities for career development within this position?

Yes, there are opportunities for mentorship, coaching, and developmental opportunities to help grow your career.

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.