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PP
Perform Properties LLC
Associate, Analytics Engineer
Career Insights for Data Scientist
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Based on California data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$138,705 / year median in California
+8% projected growth
Job Description
Associate, Analytics Engineer Perform Properties LLC Santa Monica, CA Job Details Full-time $135,000
- $185,000 a year 7 hours ago Benefits Paid holidays Health insurance Paid time off Retirement plan Qualifications Data model design Commercial use (data warehousing systems) Cloud analytics services Data visualization software proficiency Data Integration (Data management) Requirements specification Requirements design Cloud data warehouses Business intelligence report generation Git Schema design SQL Requirements analysis Continuous integration Query management Data visualization projects Project stakeholder communication Stakeholder relationship building Data analytics technologies Dimensional modeling Stakeholder management Full Job Description Please review the Job Applicant Privacy Notice.
- vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, we oversee approximately 30 million square feet of properties across the U.S. Our culture is built on our OneTeam foundation
- a shared commitment to collaboration, innovation, and knowledge sharing across roles, teams, and time zones. Guided by this foundation, our OneTeam Core Values define how we show up every day: Act with Intention Make It Happen Raise the Bar Stay Curious Win as One Join a team where performance and partnership go hand in hand.
- Role Summary Our Analytics Engineer turns raw, multi-source data into trusted, well-modelled datasets that the whole business can use.
- 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.