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Walmart Canada · 2 months ago

Senior Manager, Advanced Analytics

Sunnyvale, CA

Full-time

Onsite

Mid, Senior Level

$90K/yr - $180K/yr

4+ years exp

Walmart Inc. is a leading retail company in the eCommerce sector, and they are seeking a Senior Manager for their Advanced Analytics team. This role involves leveraging data to enhance customer experiences and collaborating with various teams to drive product initiatives and performance metrics.

DeliveryRetailShopping

Responsibilities

Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, 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, 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, Splunk to monitor product performance

Leverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as BigQuery or 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 feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App)

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 using regression, clustering, classification, gradient boosting, etc. techniques

Qualification

Data AnalyticsSQLData VisualizationPythonRStatistical AnalysisA/B TestingKPI MonitoringRegression TechniquesClustering TechniquesClassification TechniquesGradient BoostingSoft Skills

Required

Bachelor's degree in Business Administration, Computer Science, Engineering, Communications, or related field

3-5 years experience in analytics

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

Have at least 3 years of experience in small to mid-size analytics teams

Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

Interest in growing into an analytics management role in the future

Related industry experience (for example, retail, merchandising, healthcare, eCommerce)

Experience using Python OR R for analytics or data management

Certificate in business analytics, data mining, or statistical analysis

Statistical programming languages (for example, SAS, R)

Masters: Business Administration

Masters: Information Systems

Masters: Statistics