Senior, Data Analyst, Global Marketplace & eCommerce Compliance (GMEC), Monitoring and Reporting

(USA) AR BENTONVILLE Home Office Main Home Office Building

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Walmart

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Posted 2 months ago

Position Summary...

What you'll do...

Senior, Data Analyst, Global Marketplace & eCommerce Compliance (GMEC), Monitoring and Reporting

*The location for this role is Bentonville AR*

Walmart is the largest retail corporation in the world and the Global Marketplace & eCommerce Compliance team is disrupting and revolutionizing the establishment by being more data driven in their analysis and integrating Machine Learning algorithms to get a more comprehensive understanding of details missed by humans. We extend our reach to 4000 stores across US for testing and deploying sophisticated models of all kinds for every facet or step during the retail supply chain lifecycle. The sophistication afforded by machine learning algorithms allows for more segmentation, which allows for more detailed and descriptive insights. In attempting this, we are also reshaping the attitude of the business towards adopting and trusting AI to be most impactful based on the amount of historical data and investment required.

There is a wide gamut of challenges, and the obstacles are numerous to shift the thinking between solving for customers’ needs in physical stores versus e-commerce. The challenge of employing ML techniques in retail at such a wide scale, across varied categories of items, presents a great opportunity for creative solutions.

GMEC Monitoring and Reporting team reviews large volumes of data and provides insights to define and develop risk controls, policies, and risk management programs. The Senior, Data Analyst, Global Marketplace & eCommerce Compliance (GMEC), Monitoring and Reporting role will work closely with operations, program management, product, and technology (engineering and data science) teams to protect our global marketplaces from various risks (e.g. seller, item, intellectual property, and fraud). The Senior, Data Analyst, role is responsible for providing insights to help define, enforce and promote policies, programs and products as part of Global Marketplace & eCommerce Compliance.

The goals of this team are to generate tangible insights from data collected across multiple channels and to use algorithms and models that can process and learn from these huge datasets to make actionable predictions and recommendations.

What you’ll do….

Develop analytical frameworks and turn complex data sets into clear insights
Build Alert-based monitoring and reporting to inform GMEC, Compliance and policy decisions
Build and tune machine learning prototypes and models to detect seller and item risks
Write scripts to track operational performance and drive process improvements
Run database queries and deep dive analysis on anomalous events and recommend fixes
Generate reports and presentations for business stakeholders and leadership
Maintain code, scripts, cron jobs, and data within cloud environment and EBS data lake
Generate reports and create presentations for key stakeholders, including Compliance and Executive leadership team
Design and build reports, scorecards to support all GMEC functions
Generate insights, trends, and actionable recommendations to support Operations, Product and Walmart’s e-commerce marketplace teams

What you’ll bring….

Experience coding and developing in Python, R, or other object-oriented languages
Experience in Tableau (preferred), Looker, or other visualization tools
Experience performing quantitative analysis and provide insights
Experience in Expert SQL, Excel skills; Experience with Hadoop, BigQuery, Hive, Spark, Kafka, Microsoft Azure, MapReduce, Apache Pig, AWS
Ability to synthesize and communicate complex analysis and concepts in clear manner
Experience working in a Compliance, Risk Management, or eCommerce environment
Knowledge in predictive modeling
Knowledge in Monitoring and Reporting processes

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Benefits & Perks

Beyond competitive pay, 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. 

Who We Are

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life. https://careers.walmart.com/

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $80,000.00-$155,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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 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 computer science, engineering, business administration, or related area and 4 years’ experience in back-end platform or highly complex B2B/C products or experience in roles requiring data-driven decision making and quantitative analysis skills (including deep knowledge of Excel, SQL, or statistics), 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)