Analytics Engineer (US)

Kalibrate • Dallas, TX

1d • Remote

About The Position

The Analytics Engineer is responsible for independently preparing, validating, and transforming data used in client-facing analytical solutions. This role owns the execution of standard analytical workflows, ensures data quality and readiness, and partners across teams to deliver high-quality analytical outputs. The Analytics Engineer applies technical expertise to solve data challenges, improve processes, and contribute to successful project delivery.

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

Nice To Haves

• Develop deeper expertise in analytical engineering methodologies, independently manage increasingly complex projects, contribute to process improvements, and build technical leadership capabilities

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed