Manager, Data Analytics - Engineering & Platform

Walmart, Inc.

$91K — $126K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in GCP and BigQuery architecture
  • Strong skills in data modeling, especially dimensional and consumption-layer design
  • Experience in ETL/ELT pipeline development
  • Proficient in SQL and query performance optimization
  • Knowledge of cost optimization and resource management in BigQuery
  • Familiarity with cloud-native data engineering best practices

Responsibilities

  • Own and manage GCP/BigQuery infrastructure
  • Design, optimize, and govern the data platform
  • Ensure high-quality, reliable data assets are available to stakeholders
  • Collaborate with teams to define data standards and best practices
  • Drive continuous improvement in reporting and analytics
  • Identify gaps in reporting infrastructure and implement best practices
  • Train and support departments in self-service reporting

Benefits

  • Support for continuous learning and development
  • Opportunities to work with cross-functional teams
  • Access to advanced data analytics tools
  • Potential for career advancement in data management
  • Innovative work environment focused on data-driven decision-making
Full Job Description
Position Summary...
The Manager, Data Analytics supports the development and implementation of data-driven strategies to optimize business performance. Responsibilities include pricing, promotional strategies, market analysis, web analytics, and reporting, fostering cross-functional collaboration to drive insights and decision-making.

What you'll do...

We are seeking a Data Platform Lead to own and manage our GCP/BigQuery infrastructure, serving as the central point of accountability for all reporting and consumption datasets across the organization. This role is responsible for designing, optimizing, and governing our data platform to ensure high-quality, reliable, and performant data assets are available to stakeholders.

The ideal candidate brings strong analytical skills with meticulous attention to detail, ensuring data accuracy, consistency, and integrity across all downstream reporting. They will collaborate with cross-functional teams to define data standards, implement best practices for data modeling and pipeline development, and drive continuous improvement in how we surface insights to the business.

A deep understanding of BigQuery architecture, cost optimization, and data governance principles is essential for success in this role.

The Manager may identify gaps in reporting infrastructure, implement best practices, and introduce automation. Training and supporting other departments in self-service reporting and maintaining vendor relationships for analytics tools are also key responsibilities.

Cross-functional collaboration is essential, working with all business units to ensure alignment and integration of analytics initiatives. The Manager may present data and recommendations to senior leadership and stakeholders, ensuring data-driven decision-making across the organization.

Qualifications
  • GCP and BigQuery architecture expertise
  • Data modeling (dimensional and consumption-layer design)
  • ETL/ELT pipeline development
  • SQL and query performance optimization
  • Cost optimization and resource management in BigQuery
  • Cloud-native data engineering best practices


The pay range for this position is $91 900,00 - $126 390,00. Pay will be determined based on relevant experience.

L'échelle salariale pour ce poste est de 91 900,00 à 126 390,00. La rémunération sera déterminée en fonction de l'expérience pertinente.


Minimum Qualifications...

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

Age - 16 or older

Preferred Qualifications...

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

Primary Location...
1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada

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