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# Associate, Analytics Engineer

- **Company:** Perform Properties
- **Location:** Melrose Park, IL, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Transformation, Data Visualization, Data Warehousing, Dimensional Modeling, Power BI, Software Tools, SQL Databases, Tableau (Software), Azure Data Factory, Snowflake, Git, Data Layers, Information Technology, Data Analytics, Amazon Redshift, Databricks
- **Published:** August 23, 2026
- **Apply:** https://www.disabledperson.com/jobs/74478508-associate-analytics-engineer

## About the Role

* 5+ years building data models and pipelines in an analytics engineering, data engineering and/or BI engineering role
 * Advanced proficiency in SQL and DBT (or a comparable transformation and testing framework)
 * Demonstrable success working with modern data warehouses (Databricks, Snowflake, BigQuery, RedShift)
 * Experience with cloud infrastructure (Azure, AWS, or GCP)
 * Experience with cloud-hosted data visualization tooling
 * Working knowledge of dimensional modelling, curated / medallion-layer design, Git and CI/CD for analytics
 * Demonstrable ability to translate business questions into durable data models with agreed metric definitions
 * Strong requirements-gathering and stakeholder-management skills

Nice-to-haves

 * Advanced proficiency in Azure Platform as a Service
 * Proficiency in common data engineering tools (Apache Airflow, Azure Data Factory)
 * Advanced proficiency in common visualization tools (Tableau, PowerBI)
 * Bachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education

## Description

Our Analytics Engineer turns raw, multi-source data into trusted, well-modelled datasets that the whole business can use. Sitting between Data Engineering and Analytics, this role owns the transformation layer: the models, tests, and documentation that feed reporting, BI, and AI across Investments, Portfolio, Operations and Finance. This is a hands-on, high-leverage role, building the curated, source-of-truth foundation that lets Perform automate reporting, cut the coordination tax between systems, and shorten the time-to-Insight for decision-makers.

This role reports to the Vice President, Data & Analytics and is based in the office, 5 days a week., * Build data transformation layers that deliver clean, unambiguous, stakeholder-ready information to our data warehouse

 * Shift measurement decisions from ad-hoc queries and BI toolstoflexible silver and gold data layers
 * Enable recurring, exploratory, and self-service reporting capabilities, driving stakeholders to make faster, better-informed decisions in their daily work
 * Ensure data quality via documented lineage, automated checks, and clear definitions, making our results trustworthy by default
 * Support data governance & stakeholder engagement, encouraging accuracy in interpretation
 * Model the successful use of AI as a capability, leveraging data model outputs via MCPs, and balancing AI tooling efficiencies with domain expertise


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