Manager II, Advanced Analytics

What you'll do...

Position: Manager II, Advanced Analytics

Job Location: 640 W. California Avenue, Sunnyvale, CA 94086

Duties: Partner with the Product Analytics Management, Product Manager, and engineering teams to accurately track and analyze existing and new product initiatives.

Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, and impact sizing to influence decision-making. Define and monitor KPIs to measure product performance and monitoring product health.

Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured. Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau and Splunk to monitor product performance. Leverage SQL to query and process large amounts of clickstream and transactions data from different databases such as BigQuery, Google cloud, and SQL/Hive to identify opportunities.

Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team. Design and execute A/B tests to identify and quantify the impact of new product features as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, etc.). Provide data-driven insights and deliver recommendations that address opportunities for product improvements. Leverage advanced analytics solutions to identify product and business opportunities at scale. This position does not supervise employees.

Minimum education and experience required: Master's degree or equivalent in Business, Finance, Accounting, Statistics, or related field; OR Bachelor's degree or equivalent in Business, Finance, Accounting, Statistics, or related field and 2 years of experience in data analytics or related field.

Skills required: Experience coding in scripting programming language Python to access data platforms, analyze and visualize data, and build data pipelines.

Experience building predictive models (including regression, decision trees, and clustering) using SQL and Python.

Experience using SQL to query, retrieve, process, and analyze large amounts of clickstream and transaction data from BigQuery, Google cloud, and SQL/Hive. Experience designing, monitoring, and analyzing A/B testing with statistical calculations (including t-test and power analysis) using Python.

Experience creating effective reporting and dashboards by applying data visualization tools including Tableau, Splunk, and Looker to monitor product performance. Employer will accept any amount of experience with the required skills.

Salary Range: $138,911/year to $202,000/year. Additional compensation includes annual or quarterly performance incentives.

  Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.

Benefits: 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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.com.

Wal-Mart is an Equal Opportunity Employer.

#LI-DNI #LI-DNP