Analytics Engineer: Build Trusted Data Foundations

Vantage Oleochemicals, Inc; Chicago (IL); On-site; USD 135,000 - 185,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid holidays

PTO

Job summary

Perform Properties is seeking an Analytics Engineer in Chicago to turn raw, multi-source data into trusted, well-modelled datasets used by Investments, Portfolio, Operations and Finance. The role sits between Data Engineering and Analytics, owning the transformation layer for reporting, BI, and AI across the business.

This hands-on position reports to the VP of Data & Analytics and is office-based five days a week.

Qualifications

• 5+ years building data models and pipelines in analytics/BI roles.
• Advanced SQL and DBT or similar transformation tooling used.
• Experience with modern data warehouses (Databricks, Snowflake, BigQuery, Redshift).
• Experience with cloud infrastructure (Azure, AWS, or GCP).
• Experience with cloud-hosted data visualization tools.
• Strong requirements gathering and stakeholder management.

Responsibilities

• Build data transformation layers delivering 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

Data modeling

Stakeholder management

Analytical thinking

Self-driven

Education

Bachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education

Tools

Databricks

Snowflake

BigQuery

Redshift

Azure

Tableau

Power BI

Git

CI/CD

Airflow

Azure Data Factory

Job description

Perform Properties is seeking an Analytics Engineer in Chicago to turn raw, multi-source data into trusted, well-modelled datasets used by Investments, Portfolio, Operations and Finance. The role sits between Data Engineering and Analytics, owning the transformation layer for reporting, BI, and AI across the business.

This hands-on position reports to the VP of Data & Analytics and is office-based five days a week.