Senior Data Analytics Engineer — Remote BI & Insights Leader

Harbor Freight Tools

Calabasas (CA)

On-site

USD 99,000 - 148,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental & Vision
Life Insurance
Disability Insurance
401k plan
Paid time off

Job summary

Harbor Freight Tools is seeking a Senior Data Analytics Engineer to design, build, and support the data infrastructure that turns large datasets into enterprise reporting and analytic solutions. The role emphasizes strong organizational skills and the ability to manage a diverse workload in a fast-paced environment.

You will analyze data to uncover patterns for customer insights and business performance, collaborate with partners to ensure proper data collection, and design self-service BI

Responsibilities

  • Analyze large data sets to extract patterns for customer insight, optimized performance, enhanced engagement, improved retention, increased revenue and decreased cost.
  • Collaborate with business partners to ensure collection and analysis of appropriate data and metrics for process improvements and profit.
  • Work with executives to formulate hypotheses and design research to improve key performance indicators.
  • Design architecture and data integrity constraints with data infrastructure engineers to meet business needs.
  • Identify requirements, design, deploy, and support self-service BI reports and cubes for discovery and information-sharing.
  • Design, develop, implement, manage and monitor BI dashboards.
  • Apply data modeling, ETL architecture, and report design for department initiatives with detailed data-flow diagrams and diagrams as needed.

Job description

Harbor Freight Tools is seeking a Senior Data Analytics Engineer to design, build, and support the data infrastructure that turns large datasets into enterprise reporting and analytic solutions. The role emphasizes strong organizational skills and the ability to manage a diverse workload in a fast-paced environment.

You will analyze data to uncover patterns for customer insights and business performance, collaborate with partners to ensure proper data collection, and design self-service BI

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