Position Summary...

What you'll do...

POSITION:                    Senior Manager II, Category Marketing Analytics

LOCATION:                   San Bruno, CA or Hoboken, NJ

TEAM SUMMARY:

At Walmart, we help people save money so they can live better. As the world's largest retailer, we achieve this mission with the help of some of the brightest minds in technology, merchandising, marketing, supply chain, talent and more. We are reimagining the intersection of digital and physical shopping to help achieve that mission. The Senior Manager II, Category Marketing Analytics will lead marketing analysis for product categories for all the Omni business. Marketing Analytics team helps drive business strategy by synthesizing data and performance metrics into actionable insights across product categories, customer segments, marketing channels and sales channels.  The team sits within Customer Insights & Analytics (CIA) team, a customer-focused, action-biased, data-driven team chartered with driving business by understanding customer behavior using advanced analytics. Marketing Analytics is a high-performance team that is scaling up to help accelerate Walmart’s aggressive growth both for online eCommerce and offline brick & mortar Stores. This is a high-impact and high-visibility role within the organization with expectations to deliver immediate results. The complexity of this role requires one to develop actionable insights from copious amounts of competitive, conversion, and behavioral data from proprietary and third-party data.

ROLE:

As the Senior Manager II, Category Marketing Analytics, you will provide business insights to drive measurable performance of Marketing within all of Walmart’s product categories. You will partner closely with the Marketing Analytics’ Data science, Measurement and Experimentation teams on measurement & optimization methods and on developing and utilize existing models and tools to establish interdependencies between product categories, and will collaborate with key parts of Marketing (Performance Marketing, Category Marketing, Brand Marketing, Data Engineering) to develop relevant and timely insights which inform marketing strategy and enable data-driven decision making. Given the size and scale of the Marketing at Walmart investment this position will be highly visible and have an opportunity to make a significant impact across the entire organization.

RESPONSIBILITIES:

• Provides consulting expertise and acts as a subject matter expert to senior functional leadership (e.g., SVPs & EVPs) to understand overall goals/functional objectives, decipher key business challenges, identify tactics to anticipate and mitigate business challenges/issues and develop potential success criteria while using advanced analytics, expert story telling skills with data and excellent slide building skills.

• Build customer views to understand the impact of Marketing on customers across all stages of the buying lifecycle including New User Acquisition, Engagement/Retention, and Reactivation.

• Utilize and integrate CSI (Customer Spend Index) measurement to quantify the longer-term impact of key HVAs (High Value Action) relating to product category trial and cross shopping behavior to help prioritize performance marketing budget.

• Be an SME on advanced marketing measurement methods (MMM, MTA) as central decision support tools for Marketing teams.

• Use Walmart’s vast 1st Party and 3rd Party data to analyze customer behavior, build compelling customer segments and activate audience targets to drive business performance across channels.

• Proactively maintains existing relationships and develops new relationships with external business partners and vendors

• Focuses limited resources and efforts on items that have maximum impact to the business.

MINIMUM QUALIFICATIONS: 

• Bachelor’s degree in Engineering, Business, Finance, Accounting, Statistics of related filed and 5 years’ experience in data analytics or related field

• Expert at SQL and Excel - ability to manipulate large quantities of data to drive business decisions is a must.

• Knowledge of machine learning and AI techniques to build and implement models that optimize marketing performance.

• Knowledge of statistical concepts and Test/Control methodologies (A/B and multivariate testing)

• Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.

• Expert level understanding of Microsoft Office especially Excel and PowerPoint

• Strong problem solving, analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes.

• A self-starter with a sense of ownership and accountability

• Seasoned manager with strong EQ, able to guide and motivate junior team-members to delivery exceptional work

• Strong organizational skills with a demonstrated ability to manage multiple priorities and lead complex projects with a high degree of ambiguity.

• Polished communication skills with ability to clearly convey complex data and information across a broad landscape of clientele.

PREFERRED QUALIFICATIONS:

• 6+ years of experience in Marketing Analytics, Digital Analytics, or eCommerce Analytics with experience working with marketers to maximize marketing contribution to business performance goals.

• 5+ years of experience leading cross functional teams and influencing partner teams

• MBA or Master’s Degree in Mathematics, Statistics, Computer Science, Engineering or related field

• Category marketing analytics experience in a retail and/or eCommerce environment

• Experience using R and/or Python to manipulate data, build models and draw insights from large data sets

• Working knowledge of Digital Marketing Channels (at least CPC Paid Search and Programmatic Display).  Preference will be given to candidates with experience optimizing paid media channels through advanced Marketing and Ad Technology (i.e. Marin, Kenshoo, Google DoubleClick & Adwords, etc.)

• Experience using an enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)

• Experience and a working understanding of different marketing attribution methodologies (rule-based attribution, multi-touch attribution, Media Mix Models)

• Experience building and applying customer segmentation, cohort models and personas to actionable results

• You have a passion for working in a fast-paced agile environment

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. careers.walmart.com 

At Walmart, we offer competitive pay as well as performance-based incentive 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 at https://bit.ly/3iOOb1J .

The annual salary range for this position is $144,000.00-$216,000.00

Additional compensation includes annual or quarterly performance incentives.

Additional compensation for certain positions may also include:

- Regional Pay Zone (RPZ) (based on location)

- Stock equity incentives

Minimum Qualifications...

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

Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years'
experience in data analytics or related field.

Preferred Qualifications...

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

Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R)

Masters: Business Administration, Masters: Information Systems, Masters: Statistics

Primary Location...

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America