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Analytics Engineer - Remote

Posted Yesterday
Data Analysis
Full Time
Canada

Overview

As the Analytics Engineer at 7shifts, you will design and maintain product data pipelines, ensuring accurate analyses for our Sales, Partnerships, and Marketing teams. Your work will also guarantee reliable data to support workflows across various platforms.

In Short

  • Design, build, and optimize scalable data models using SQL, dbt, and cloud-based data warehouses.
  • Implement, manage, and optimize ELT workflows for business intelligence.
  • Ensure data accuracy and reliability through best practices in data validation.
  • Collaborate with teams to understand data needs and enable self-service analytics.
  • Maintain documentation for data models, pipelines, and processes.
  • Regularly analyze and refine data pipelines for efficiency.

Requirements

  • Experience with dbt, SQL, and Snowflake in a SaaS environment.
  • Proficiency in ETL/ELT pipeline development.
  • Strong skills in advanced Python and SQL techniques.
  • Experience with Salesforce data integration.
  • Familiarity with GitHub for version control.
  • Strong collaboration and communication skills.
  • Experience with cloud data warehousing.

Benefits

  • Opportunities for learning and growth in a fast-moving industry.
  • Engaging in meaningful work that makes a difference.
  • Recognition as one of the best workplaces in North America.
  • Flexible work arrangements including remote options.
  • Comprehensive health and wellness benefits.
  • Support for professional growth and development.
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7shifts

7shifts is a comprehensive team management software platform tailored for the restaurant industry, serving over 50,000 restaurants and 1 in 10 restaurant workers across North America. The company is dedicated to simplifying team management and enhancing performance within the restaurant sector, with a vision to elevate the collaborative achievements of restaurant teams. 7shifts fosters an inclusive work environment and is committed to professional growth, offering unique opportunities and challenges as it scales rapidly in the evolving restaurant-tech landscape.

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