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Senior, Data Analyst - Data Ventures - job 5 of 6

Position Summary...What you'll do...Job SummaryAs a Senior Data Analyst , you will take ownership of project delivery and responsibilities playing a prominent technical role to help build data centric insights and product features. You will work closely with product stakeholders and deliver outstanding business outcomes. Provide leadership with constant updates and align with directions and expectation .About the TeamWe are responsible for the development of Walmart's strategic Data Ventures product line to revolutionize the retail industry. Harnessing the power of data science, we at Walmart Data Ventures build applications that empower brands to fuel smarter decision making with access to rich customer insights to better serve customers. Our team builds highly scalable, cloud-native platforms & applications with resiliency at its core. Our platform has very diverse capabilities - from highly optimized real time algorithms to integrations with data foundation systems. Our tech stack is Azure SQL, CosmosDB , Big Query, PowerBI , Tableau, Spark, React Native, React.js, Angular, .Net C# microservices, Kafka, Azure, CI/CD pipelines and much more.Must have the following to be considered : SQL , Python, R, Looker, PowerBI , SQL, NoSQL, Big Data and Cloud technologies like GCP BQ.What You'll Do:• Translate complex business requirements into clear, concise data analysis plans and develop appropriate methodologies to address business needs.• Analyze large and complex datasets to identify insights and opportunities that drive business value, use data to propose solutions.• Effectively communicate insights and recommendations to business stakeholders through visualizations, presentations, and other storytelling methods.• Develop and maintain a deep understanding of the retail industry, including the knowledge of retail operations (sales, inventory, etc.), customer data and behavior, supply chain management, as well as e-commerce (website and app traffic analysis).• Partner with product managers, data scientists, data engineers, data stewards, as well as internal data source teams to ensure that data analysis work is properly scoped, planned, and executed.• Ensure the quality, governance, and standards of data by developing and implementing data management policies and procedures.• Understand business value and relevance of data and help build data enabled insights; Work on Strategy for data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.What You'll Bring:• Passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.• Strong technical skills in SQL, Python, R , or other programming languages commonly used in data analysis.• Awareness of software engineering principles, ability to develop and deploy appropriate analytic code.• Well-versed experience in visualization tools and best practices like Looker, PowerBI etc.• Experience working with large datasets, finding insights, and telling stories using data.• Comprehensive knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.• Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.• (Strongly preferred) Prior experience working in the retail data setsAbout Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in the office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.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 $80,000.00-$155,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum 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 2 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. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.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, 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)Primary Location...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
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What You Should Know About Senior, Data Analyst - Data Ventures, Walmart

Are you a data wizard ready to take on a pivotal role at Walmart Data Ventures as a Senior Data Analyst? Located in the beautiful Gravette, AR, you will have the opportunity to dive deep into complex datasets and transform them into actionable insights that drive business success. In this engaging position, you will not only analyze vast amounts of information but also communicate your findings effectively to a wide range of stakeholders, ensuring that all teams are aligned and moving toward a shared goal. Collaboration is key, as you will partner closely with product managers, data scientists, and engineers, ensuring that data-driven strategies shape decision-making processes across the organization. Your technical expertise will be put to good use, utilizing tools like SQL, Python, R, and advanced visualization software such as PowerBI and Looker. Furthermore, the environment at Walmart promotes a hybrid work model that enhances flexibility and strengthens teamwork. Embrace this chance to share your passion for problem-solving and deepen your understanding of the retail landscape in a dynamic and innovative setting. Let’s work together to revolutionize retail through data-backed insights that help not only Walmart but also its customers thrive. Join us at Walmart Data Ventures where your expertise will directly impact how we serve millions of customers every day, making their lives better, one data point at a time!

Frequently Asked Questions (FAQs) for Senior, Data Analyst - Data Ventures Role at Walmart
What are the primary responsibilities of a Senior Data Analyst at Walmart Data Ventures?

As a Senior Data Analyst at Walmart Data Ventures, your primary responsibilities include translating complex business requirements into effective data analysis plans, analyzing large datasets to extract insights, and communicating those insights through visualizations and presentations. You will also partner with various stakeholders to ensure data quality, governance, and appropriate methodology are applied in analysis tasks.

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What qualifications does Walmart Data Ventures look for in a Senior Data Analyst?

Walmart Data Ventures seeks candidates with a strong educational background, such as a Bachelor's or Master's degree in fields like Business, Statistics, or Computer Science, along with relevant experience in data analysis or data science. Proficiency in SQL, Python, and visualization tools like PowerBI is essential to succeed in this role.

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How does Walmart Data Ventures utilize data analysis to benefit its operations?

At Walmart Data Ventures, data analysis plays a crucial role in understanding customer behavior, optimizing inventory management, and enhancing the overall retail experience. By leveraging data insights, the organization can make informed decisions that lead to better service offerings and operational efficiencies.

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What tools and technologies will I work with as a Senior Data Analyst at Walmart Data Ventures?

As a Senior Data Analyst at Walmart Data Ventures, you will work with a wide range of tools and technologies, including SQL for database queries, Python and R for data manipulation, and visualization tools like PowerBI and Looker to create impactful presentations and dashboards that inform business strategy.

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Is prior retail experience necessary for the Senior Data Analyst position at Walmart Data Ventures?

While prior experience in the retail industry is strongly preferred for the Senior Data Analyst position at Walmart Data Ventures, it is not an absolute requirement. However, a solid understanding of retail operations and customer data analytics will certainly help you thrive in this role as you navigate the complexities of retail data.

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Common Interview Questions for Senior, Data Analyst - Data Ventures
Can you describe a complex data analysis project you worked on and the impact it had?

When answering this question, choose a specific project where your analysis led to measurable results. Discuss the problem you were addressing, the methodologies you employed, the findings you uncovered, and the actionable steps taken based on your insights.

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Which data visualization tools do you prefer and why?

Highlight your experience with tools like PowerBI, Looker, and Tableau. Explain why you prefer these based on their features, ease of use, and the type of data storytelling you can achieve with them, providing examples of how you have used them in past projects.

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How do you ensure data quality and governance in your analysis?

Discuss your approach to data governance, including establishing data management policies and conducting regular quality checks. Provide examples of tools or processes you've implemented to maintain data integrity in previous roles.

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Explain a time you had to communicate a complex technical concept to a non-technical audience.

Choose an example where you successfully simplified technical data for stakeholders. Use this to demonstrate your communication skills and ability to tailor your message to your audience's level of understanding.

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What strategies do you use to prioritize multiple data analysis projects?

Discuss your organizational skills and how you assess the urgency and impact of each project. Mention tools or methods, such as task management software or prioritization matrices, that aid you in effectively managing your workload.

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What programming languages are you proficient in, and how have you applied them in your work?

Mention your proficiency in SQL, Python, and R, and provide specific instances where you’ve used these languages to solve problems, perform analyses, or automate tasks in previous positions.

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How do you stay updated with the latest trends in data analytics and technologies?

Share how you pursue continuous learning through online courses, webinars, and industry publications. Mention any specific resources or communities you are part of that keep you informed about the advancements in data analytics.

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Describe your experience with both SQL and NoSQL databases.

Discuss the types of databases you have worked with, emphasize the importance of understanding when to use SQL versus NoSQL, and provide examples of projects where you utilized these databases for data storage and retrieval.

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What is your approach to analyzing large and complex datasets?

Outline your process, starting from data collection and cleaning, followed by exploratory data analysis, modeling, and visualization. Highlight specific tools or techniques you use at each stage.

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Why do you want to work for Walmart Data Ventures as a Senior Data Analyst?

Articulate your enthusiasm for the company's mission to leverage data for retail innovation. Mention how the role aligns with your skills and career aspirations, showcasing your knowledge about Walmart's values and commitment to serving customers.

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November 30, 2024

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