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Senior, Data Analyst - Data Ventures - job 1 of 4

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

Join Walmart Data Ventures as a Senior Data Analyst in Cave Springs, AR, where your analytical skills will shine! In this pivotal role, you'll lead project delivery, diving deep into complex datasets to uncover insights and drive business value. Your collaboration with product stakeholders will be crucial, ensuring that every analysis meets their needs and results in outstanding outcomes. You'll have the opportunity to work with an array of cutting-edge technologies, including Azure SQL, Big Query, and PowerBI, all while leveraging your expertise in SQL, Python, and R. As part of our team, you'll also contribute to the development of innovative data-centric products that are set to revolutionize the retail industry. Whether you’re visualizing data for presentations or ensuring data governance, you'll find a supportive environment that encourages growth and teamwork. With a focus on problem-solving and critical thinking, your day-to-day will involve translating complex requirements into actionable insights, partnering with a talented group of data professionals excited to innovate and redefine how retail utilizes data. And let’s not forget the flexible hybrid work culture that ensures you can balance both office collaboration and personal time. So if you’re passionate about using data in exciting ways, this is your chance to make an impact with Walmart Data Ventures!

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

As a Senior Data Analyst at Walmart Data Ventures, you will lead project initiatives by translating complex business requirements into clear data analysis plans. You'll analyze large datasets to identify valuable insights and communicate these effectively to stakeholders using various storytelling methods, including visualizations and presentations. Collaborating closely with product managers and data scientists will be key to ensuring data analysis is scoped and executed correctly, while also maintaining data quality standards.

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What qualifications are needed for the Senior Data Analyst role at Walmart?

To be considered for the Senior Data Analyst position at Walmart, you should have at least a Bachelor's degree in a relevant field such as Business, Statistics, or Computer Science, coupled with experience in data analysis. Alternatively, a Master's degree or significant experience in a data-centric role will also be accepted. Additionally, strong technical proficiency in SQL, Python, and data visualization tools like PowerBI is essential.

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What technologies do Senior Data Analysts at Walmart Data Ventures work with?

Senior Data Analysts at Walmart Data Ventures engage with a diverse tech stack that includes Azure SQL, CosmosDB, Big Query, PowerBI, Tableau, and various cloud technologies. Familiarity with Big Data tools, NoSQL databases, and programming languages such as Python and R is also crucial in delivering insights that drive our business solutions.

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What skills are crucial for success as a Senior Data Analyst in this role?

To excel as a Senior Data Analyst at Walmart Data Ventures, you should possess strong analytical skills, critical thinking, and problem-solving abilities. Excellent communication skills are essential for conveying complex data insights to non-technical stakeholders. Furthermore, experience with data visualization tools, a deep understanding of retail operations, and the ability to work collaboratively within a team are vital for achieving business objectives.

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What is the work culture like for a Senior Data Analyst at Walmart Data Ventures?

At Walmart Data Ventures, the work culture emphasizes flexibility and collaboration. The hybrid work model allows data analysts to work both onsite and remotely, promoting a balanced approach to personal and professional lives. Employees are encouraged to innovate and collaborate in an environment where their contributions significantly impact the retail industry. Regular updates and open communication with leadership further enhance this positive work atmosphere.

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Common Interview Questions for Senior, Data Analyst - Data Ventures
How do you approach analyzing complex datasets?

When analyzing complex datasets, I start by cleansing and organizing the data to ensure its integrity. I then define the key business questions that need to be answered and apply descriptive and inferential statistical techniques. Using visualization tools, I can identify trends and insights more efficiently before presenting my findings through compelling visual storytelling.

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Can you explain your experience with SQL and its application in data analysis?

Certainly! I have extensive experience using SQL for querying large datasets, performing data manipulation, and creating complex joins to synthesize information. In previous roles, I utilized SQL to generate reports and insights that influenced business decisions, ensuring data accuracy and relevance in my analyses.

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Describe a time you communicated complex data findings to a non-technical audience.

In my last position, I presented quarterly sales data to the marketing team. To ensure clarity, I utilized visuals and charts that succinctly highlighted key insights while avoiding technical jargon. This approach facilitated better understanding and engagement, allowing the marketing team to align their strategies based on data-driven insights.

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What experience do you have with visualization tools like PowerBI or Looker?

I have hands-on experience with PowerBI, using it to create interactive dashboards that streamline data visualization processes. For instance, I developed a comprehensive sales performance dashboard that allowed stakeholders to track KPIs in real-time, which improved decision-making efficiency. I am also familiar with Looker for its capabilities in exploring and visualizing complex datasets.

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How do you ensure data quality and integrity in your analyses?

Ensuring data quality and integrity starts with establishing clear data governance practices, including validation checks, error handling procedures, and regular audits. In previous roles, I implemented automated checks to detect data anomalies and worked collaboratively with data engineers to resolve issues, maintaining high standards of quality throughout the analysis process.

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What methods do you use for problem-solving in data analysis?

My approach to problem-solving in data analysis involves systematically breaking down the problem into manageable parts, utilizing both qualitative and quantitative analysis techniques. I often use statistical models to understand relationships within the data, and when necessary, I tap into brainstorming sessions with team members to explore innovative solutions.

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How familiar are you with cloud technologies and big data tools?

I have a solid foundation in cloud technologies like Google Cloud Platform and Azure, particularly with tools such as Big Query and Azure SQL. My experience extends to working with big data frameworks like Spark, which I’ve applied in projects involving large-scale data processing and analytics, enhancing performance and scalability.

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Can you discuss a data project where you led the analysis from start to finish?

In a notable project, I led an analysis on customer purchasing behavior to better inform inventory management decisions. From defining objectives with stakeholders to gathering data, analyzing trends, and presenting findings, I handled the entire process. The insights generated were pivotal, resulting in a more targeted inventory strategy that reduced costs substantially.

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What steps do you take to stay updated on industry trends in data analytics?

To stay updated on industry trends, I regularly read peer-reviewed journals, subscribe to reputable analytics blogs, and participate in webinars and conferences. Additionally, engaging with a community of data professionals through networking helps me learn best practices and emerging tools that can enhance my analytical capabilities.

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

I'm excited about the opportunity to work at Walmart Data Ventures because it aligns perfectly with my passion for leveraging data to drive business transformation. The innovative projects and cloud-native technologies used here excite me, and I believe my analytical skills and prior experience can contribute significantly to enhancing retail insights and decision-making.

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Full-time, hybrid
DATE POSTED
December 11, 2024

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