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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
Qualifications
• 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
