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# Analytics Engineer

- **Company:** KALIBRATE L.L.C.
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Validation, Data Cleansing, Data Integration, Data Transformation, SQL Databases, Data Processing, Alteryx
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=496a2177833c601f

## About the Role

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

## Description

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.

Core Responsibilities

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

Success Metrics

 * Data quality and accuracy
 * Timely completion of project deliverables
 * Reduction of data issues and rework
 * Adherence to project timelines and scope
 * Contribution to process improvements and efficiency gains


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