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Role Summary

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.

Essential Job Functions

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

Qualifications and Technical Competencies

• 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

Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

Base Salary Range: $135,000 - $185,000. This represents the presently-anticipated low and high end of the Company's base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

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