Senior Analytics Engineer

Job not on LinkedIn

🔥 10 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Kalibrate

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Kalibrate is a company that provides advanced location intelligence and fuel pricing solutions to help businesses make data-driven decisions. Their platform, Kalibrate Location Intelligence 2. 0, offers insights into market strategies, site selection, and customer behavior, enabling organizations to optimize their location strategies across various industries such as retail, fuel, and convenience. Kalibrate also offers consulting services to enhance customer acquisition, maximize profits through fuel pricing optimization, and conduct market insights analyses. They are trusted by leading global brands to facilitate strategic growth and operations through robust data and AI-driven methodologies.

📋 Description

• Serve as a subject matter expert for analytics engineering processes, tools, and best practices while providing guidance to junior team members. • Lead preparation, validation, and integration of complex 1st party, 3rd party, and internal datasets to support advanced analytical solutions. • Establish and enforce quality standards to ensure analytical outputs are accurate, reproducible, and aligned with client requirements. • Coach Associate and Analytics Engineers through technical reviews, workflow guidance, and skills development. • Drive automation, standardization, and continuous improvement initiatives to improve scalability and operational efficiency. • Lead technical execution for complex client engagements, coordinate across teams, and proactively manage delivery risks. • Collaborate closely with Data Science, Customer Success, and Product teams to align analytical execution with business objectives and client expectations

🎯 Requirements

• 6–10 years of experience in analytics, data engineering, consulting, or related fields • Advanced proficiency with technical analytical tools (e.g., Alteryx, Python, etc.) • Strong understanding of model prerequisites and analytical workflows • Proven experience leading complex technical projects • Excellent communication and stakeholder management skills • Experience mentoring junior technical staff