Analytics Engineer: Build Trusted Data for Insight & AI

Perform Properties; Chicago (IL); On-site; USD 135,000 - 185,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid holidays & PTO

Job summary

Perform Properties in Chicago seeks an Analytics Engineer to turn raw, multi-source data into trusted datasets, bridging Data Engineering and Analytics. This role owns the transformation layer: models, tests, and documentation that feed reporting, BI, and AI across Investments, Portfolio, Operations and Finance.

It is a hands-on, high-leverage role at the office, five days a week. Reporting to the Vice President, Data & Analytics, you will build the curated, source-of-truth foundation that lets

Qualifications

• 5+ years building data models and pipelines in analytics/BI roles.
• SQL and DBT proficient.
• Experience with Databricks, Snowflake, BigQuery or Redshift.
• Cloud infrastructure (Azure/AWS/GCP).
• Experience with cloud data viz tools.
• Knowledge of dimensional modeling and medallion-layer design.
• Strong requirements-gathering and stakeholder management.
• Bachelor's degree in CS, Mathematics, Analytics or related field.

Responsibilities

• Build data transformation layers that deliver clean, unambiguous, stakeholder-ready information to our data warehouse.
• Shift measurement decisions from ad-hoc queries and BI tools to flexible 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.

Skills

5+ years data modeling

SQL & DBT

Data warehousing

Cloud infrastructure

Data visualization

Dimensional modeling

Requirements gathering

Bachelor's degree

Education

Bachelor's Degree in CS/Math/Analytics

Tools

DBT

Databricks

Snowflake

BigQuery

Redshift

Azure

AWS

GCP

Tableau

Power BI

Airflow

Azure Data Factory

Job description

Perform Properties in Chicago seeks an Analytics Engineer to turn raw, multi-source data into trusted datasets, bridging Data Engineering and Analytics. This role owns the transformation layer: models, tests, and documentation that feed reporting, BI, and AI across Investments, Portfolio, Operations and Finance.

It is a hands-on, high-leverage role at the office, five days a week. Reporting to the Vice President, Data & Analytics, you will build the curated, source-of-truth foundation that lets