Analytics Engineer, Associate

ielfreight; Cincinnati (OH); On-site; USD 70,000 - 100,000; Full time

Job summary

Integrity is seeking an Associate Analytics Engineer to support data model development, testing, and analytics solutions that empower BI and operational decisions. You will collaborate with data architects, engineers, analysts, and business partners to translate complex data into reliable insights.

The role covers data integration, transformation, modeling, validation, and reporting using Fivetran, Snowflake, dbt Cloud, Power BI, and Microsoft Fabric.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• 1-3 years of analytics engineering or related experience.
• Strong SQL skills with complex queries across datasets.
• Understanding of data transformation, modeling, and warehousing concepts.
• Familiarity with cloud-based data platforms and BI tools.
• Basic knowledge of relational structures, dimensional modeling, and data validation.
• Understanding of data quality practices and testing.

Responsibilities

• Develop, maintain, test, and enhance data models and transformations for BI and analytics.
• Build dbt models across staging, intermediate, and mart layers with testing and data quality.
• Write and optimize SQL in Snowflake for reliable data processing.
• Assist in optimizing Snowflake queries and warehouse utilization.
• Support data integration with Fivetran and monitor synchronization.
• Develop and maintain Power BI semantic models, dashboards, and reports.
• Collaborate with stakeholders to translate requirements into reliable data models and metrics.
• Validate transformed data against sources and documentation data lineage.
• Participate in code reviews, GitHub workflows, and Agile development practices.

Skills

SQL

Data modeling

ETL/ELT

Cloud platforms

dbt Cloud

Snowflake

Power BI

Fivetran

GitHub

Dashboards

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Informatics

Tools

dbt Cloud

Snowflake

Power BI

Microsoft Fabric

Fivetran

GitHub

Job description

As the Associate Analytics Engineer at Integrity, you are responsible for supporting the development, maintenance, testing, and improvement of data models and analytics solutions that drive business intelligence and operational decision-making. Working with data architects, engineers, analysts, and business partners, this role transforms complex data into reliable, actionable insights.

The position supports data integration, transformation, modeling, validation, and reporting using tools such as Fivetran, Snowflake, dbt Cloud, Power BI, and Microsoft Fabric. It partners with Finance, Accounting, Sales, Operations, and Technology to develop scalable analytics solutions, resolve data issues, and improve processes.

This position reports to the Data Analytics Manager.

Core Responsibilities

Data Modeling & Transformation

Develop, maintain, test, and enhance data models and transformation processes to support business intelligence, analytics, and reporting needs.

Build and maintain dbt models across staging, intermediate, and mart layers, incorporating appropriate testing, documentation, and data quality standards.

Write, optimize, and maintain SQL queries and data transformations within Snowflake to support accurate, reliable, and efficient data processing.

Assist in optimizing Snowflake queries, incremental models, and warehouse utilization to improve performance and manage costs.

Data Integration & Pipeline Support

Support data integration processes using Fivetran, including monitoring synchronization, configuring tables and columns, troubleshooting missing data, and assisting with historical re-synchronization.

Monitor data transformation processes and pipeline performance, troubleshoot failures, and assist in resolving synchronization, performance, and data quality issues.

Support data refresh processes and orchestration using Power BI, Microsoft Fabric, and other applicable technologies.

Business Intelligence & Analytics

Assist in developing and maintaining Power BI semantic models, dashboards, and reports using dimensional modeling, DAX measures, and appropriate data security practices.

Support the development and maintenance of trusted business metrics related to load profitability, accounts receivable, accounts payable, commissions, carrier payments, and other operational and financial activities.

Collaborate with business stakeholders to understand reporting and analytics requirements and translate those needs into reliable data models, standardized metrics, and analytics solutions.

Data Quality & Validation

Validate transformed data against source systems and accounting records to identify discrepancies, investigate root causes, and assist with implementing appropriate corrections.

Perform data quality testing and reconciliation to support the accuracy, completeness, and consistency of business information.

Create and maintain technical documentation for data models, transformation logic, metric definitions, data lineage, and troubleshooting procedures.

Collaboration & Development Practices

Collaborate with data architects, engineers, analysts, and cross-functional business partners to support consistent, scalable, and maintainable analytics solutions.

Participate in code reviews, version control, and collaborative development processes using GitHub and established development standards.

Participate in Agile development activities, project planning, testing, and implementation of new analytics solutions.

Process Improvement & Professional Development

Identify opportunities to automate manual processes, improve data reliability, enhance reporting consistency, and increase overall data accessibility.

Recommend improvements to existing data models, transformation processes, and analytics workflows to support operational efficiency.

Develop technical expertise across IEL's analytics engineering platforms and progressively assume responsibility for more complex assignments.

Perform other duties as assigned.

Knowledge, Skills, & Experience

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Informatics, or a related quantitative field, or an equivalent combination of education and relevant experience.
• 1-3 years of relevant experience in analytics engineering, data engineering, data analytics, business intelligence, or a related technical discipline.
• Strong foundational SQL knowledge, including experience querying relational databases, developing queries, and working with complex datasets.
• Understanding of data transformation, data modeling, and data warehousing concepts, including ETL/ELT processes.
• Familiarity with cloud-based data platforms and business intelligence tools.
• Basic understanding of relational database structures, dimensional modeling, and data validation principles.
• Understanding of data quality practices, including testing, re