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How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Springdale, AR is $48.41, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $54.86 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Springdale, AR? The most popular types of Data Analytics jobs in Springdale, AR are:
What job categories do people searching Data Analytics jobs in Springdale, AR look for? The top searched job categories for Data Analytics jobs in Springdale, AR are:
What cities near Springdale, AR are hiring for Data Analytics jobs? Cities near Springdale, AR with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Springdale, AR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,703 per year, or $48.4 per hour.

Director, Data Analytics - Global Marketplace

Walmart

Rogers, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,376 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers

Job description

Position Summary... What you'll do...

ABOUT THE ROLE 

Walmart's global marketplace business operates across multiple international markets, connecting millions of third-party sellers with customers around the world. This role leads the data analytics function that makes that business measurable, scalable, and trusted — owning the data infrastructure, reporting frameworks, and analytical standards that commercial and operational teams depend on to make decisions and drive growth. 

This is a senior leadership role for someone who is equally effective setting direction with executive stakeholders and driving technical execution with their team. A core priority for this position is leading global data standardization efforts — establishing consistent metric definitions, unified data models, and shared business logic that scale as the program grows and evolves across markets. 

WHAT YOU'LL OWN 

Global Data Standardization & Governance 
  • Lead the design and enforcement of unified data standards including consistent metric definitions, dimension structures, and business logic across all markets. 
  • Drive alignment with enterprise analytics and data engineering teams to ensure marketplace data integrates cleanly with broader organizational frameworks. 
  • Own data governance practices for the marketplace data domain, including data quality standards, access controls, and documentation. 
  • Serve as the primary point of accountability for data relationships across partner teams, acting as the escalation point for quality issues and coverage gaps. 

 
Analytics Strategy & Stakeholder Engagement 
  • Translate complex, multi-market business requirements into a structured analytics roadmap with clear priorities and measurable outcomes. 
  • Partner with senior leaders across commercial, financial, and operational functions to deliver timely, trusted analytics that inform strategy and execution. 
  • Build and present business cases for analytics investments, articulating return on investment and measurable business impact. 
  • Proactively surface gaps in data coverage or analytical capability and drive remediation before they become blockers. 

Data Engineering & Infrastructure Oversight 
  • Oversee the health, reliability, and evolution of a large-scale pipeline ecosystem spanning sales, logistics, traffic, assortment, and seller data across multiple markets. 
  • Guide architecture decisions around unified consumption layers, data migrations, and pipeline consolidation in BigQuery. 
  • Ensure new program or market data integrates cleanly into existing unified data models without creating redundant or parallel structures. 

Self-Serve BI & Reporting Governance 
  • Own the Looker reporting ecosystem - including Explores, dashboards, and the data dictionary — ensuring quality and accessibility for business users across functions. 
  • Champion self-serve analytics by designing reporting frameworks that reduce ad-hoc bottlenecks and empower business teams to access trusted data independently. 
  • Set and maintain standards for how metrics are defined, calculated, and presented across all dashboards and business reviews. 

Team Leadership & Development 
  • Lead and develop a cross-functional analytics team spanning data engineering, business intelligence, and reporting. 
  • Establish clear ownership, accountability, and growth paths for each team member through meaningful coaching, feedback, and mentorship. 
  • Foster an inclusive, high-performing team environment where associates feel supported, challenged, and set up to do their best work. 

WHAT YOU'LL BRING 

Required Experience & Skills 
  • 7+ years in data analytics, data engineering, or business intelligence, with at least 3 years in a senior leadership role. 
  • Deep proficiency in SQL and BigQuery, with strong working knowledge of Python and data pipeline architecture. 
  • Hands-on experience with Looker or a comparable enterprise BI platform, including building and governing data models and dashboards at scale. 
  • Demonstrated experience leading data standardization or governance initiatives across multiple business functions or geographies. 
  • Track record of translating complex business requirements into scalable analytics solutions with clear, measurable impact. 
  • Strong executive communication skills, with the ability to influence cross-functional partners and present confidently to senior leadership. 

Preferred Experience 
  • Prior experience in global or international e-commerce marketplace analytics. 
  • Familiarity with cross-border commerce, seller lifecycle data, or logistics analytics. 
  • Experience working across US and international data systems simultaneously. 
  • Exposure to competitive intelligence or demand signal data sources. 

OUR VALUES 

We build with integrity, serve our customers and partners first, and hold ourselves to a high standard of data quality and ethical use. We believe in developing talent, maintaining open and honest communication, and creating an environment where every team member can do their best work. We lead with humility, invest in growth, and recognize that great analytics teams are built on trust as much as technical skill. 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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), Supervisory experience Primary Location... 1601 SE 10th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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