Manager II, Advanced Analytics – Media Experimenta…

What you’ll do at

Position Summary…

What you’ll do…
At Sam’s Club, we are member obsessed. We look to add value to the Sam’s Club membership, and we partner with suppliers to bring unique and exciting values to our members. The Sam’s Club Member Access Platform (MAP), the retail media network arm, is the nexus of the Supplier -Marketer- Merchant partnership and is responsible for delivering our suppliers (advertisers) impactful omnichannel advertising member experiences that are married with closed-loop measurement.

The Measurement, Insights and Data Strategy (MINDS) team is a newly formed data and analytics function within the MAP organization, responsible for providing campaign performance measurement and audience insights for marketing effectiveness and optimization, while leading innovation and monetization initiatives through media experimentation and data strategy. The team fuels MAP’s winning formula – easy to buy, easy to sell, easy to operate to drive accelerated growth for both supplier brands and Sam’s Club – by taking full advantage of the unique strength in omni-channel and 100% traceable member journey data, curated SKU assortment and personalized experience, with growing member reach.

MAP’s Manager II, Advanced Analytics, Media Experimentation and Insights will have the exciting opportunity to be part of a brand-new analytics team that will shape MAP’s data innovation strategy. This role will focus on implementing the best-in-class experimentation, and iterative test and learn with the focus on monetization. This role will also be responsible for inflight campaign measurement and optimization to improve media effectiveness for our supplier campaigns. This role will collaborate with internal cross-functional partners from Sales, Marketing, Operations, Product and Engineering, and Site Analytics to explore and develop measurement and advanced analytics solutions. This role will report to the Director of Media Experimentation and Monetization.

You’ll make an impact by…

  • Actively contribute as a valuable member to the Media Experimentation and Monetization team, a key function of the Measurement, Insights and Data Strategy org.
  • Drives cross-functional collaboration with other support functions by partnering with all functional areas required to connect to data, perform analyses or present results.
  • Conducts research with business sponsors to generate new testable hypotheses.
  • Conducts statistical power analyses using baseline metrics from historical data, expected impact from past learnings or expert opinion, and population size for qualifying audience to determine minimum sample size required to conduct a feasible test to get statistically significant results.
  • Analyzes experiment results using advanced statistical techniques such as normality tests, t-test for normally distributed data, non-parametric tests for non-normal data, and difference in difference regression for biased tests.
  • Uses causal inference techniques such as synthetic control matching to find statistically identical treatment and control groups using pre period covariate balancing methods.
  • Leverage existing measurement tools and dashboards to glean inflight optimization insights and recommend optimization for improving campaign effectiveness.
  • Refines business plans and budget scenarios by integrating advanced analytics and data science solutions into decision-making process.
  • Derives insights for driving business decisions by taming huge data sets by applying advanced data manipulation techniques using big data tools such as Hive, Pyspark and Big Query, and parallel computing packages such as Dask and Spark.
  • Participate, and support analytics consultation projects by providing expert advice in experimental design, learning agenda, success metrics, and requirements for testing of new product feature roll-out, new ad partnership, new data adoption, campaign and audience test & learn.
  • Contribute to the development of advanced analytics solutions leveraging machine learning techniques to deliver predictive and prescriptive models that enhance marketing effectiveness, sales attribution and audience targeting, such as MTA, MMM, propensity, look-alike, uplift models, CLTV, etc.

You’ll sweep us off our feet if you…

  • Bachelors or Masters degree in Statistics, Data Analytics, Digital Marketing, Machine Learning, Mathematics, Computer Science or related field
  • 5+ years of experience in retail media, digital media, marketing measurement, experimentation and site/ search analytics
  • Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques
  • Well versed in ad-tech and mar-tech industry with extensive experience in econometric modeling, digital multi-touch attribution, experimental A/B testing, predictive modeling and able to advise when and how to best leverage those approaches
  • Experience building and working with clean room and working with 3rd party partners such as LiveRamp and/or Habu
  • Outstanding analytical and communication skills; develop presentation slides and narratives
  • Keep pace with rapidly changing digital advertising space with working knowledge in display, search, programmatic, video, CTV, Social commerce, shoppable ads, etc., channels with audience targeting and campaign measurement experience plus
  • Comfortable with ambiguity and thrive in an environment with rapid change
  • Curious, collaborative and enjoys working on complex problems

Core Competencies: Retail media analytics, experimental design, causal studies, monetization, measurement frameworks, data visualization, clean room technology, data marketplace, SQL, Python, R, Spark SQL, MLlib, Tableau, Excel and Powerpoint, display, programmatic, paid-search, social commerce, CTV, video, incrementality measurement, sponsored product advertising, integrated marketing (digital and traditional) analytics, multi-touch attribution, consulting

At Sam’s Club, 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 $120,000.00-$180,000.00

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 2 years’ experience in data analytics or related field OR 4 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

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

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

About Sam’s Club

Sam Walton opened the first Sam’s Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam’s Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam’s Club helps make saving simple for families and small business owners.

Sam’s Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Sam’s Club 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, abilities, ideas and opinions- while being inclusive of all people.

“At Walmart, you have the support you need at any given moment no matter the circumstance.” – Shelby, Project Analyst

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