Analytics Engineer

Job not on LinkedIn

🔥 10 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 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

• Independently ingest, cleanse, transform, and structure 1st party, 3rd party, and internal datasets to support analytical models and client deliverables. • Design and execute validation procedures to ensure data accuracy, consistency, and completeness while proactively identifying and resolving issues. • Execute and manage analytical workflows including data preparation, trade area setup, profiling, competitive analysis, and output generation with minimal supervision. • Develop and maintain repeatable processes for integrating multiple data sources into unified analytical datasets. • Follow established processes and document steps to ensure repeatability and consistency. • Investigate data anomalies, identify root causes, implement solutions, and escalate complex issues when necessary. • Partner with Data Science, Customer Success, and other stakeholders to support project execution and ensure alignment with client objectives.

🎯 Requirements

• Minimum of 3 years of experience in analytics, data processing, or related roles • Proficiency with Excel, Alteryx, SQL, or similar data tools • Strong attention to detail and organizational skills • Demonstrated ability to independently work with structured datasets and workflows • Willingness to learn and develop technical skills