> Markdown version of [/jobs/ext/3735877-mgr-data-analytics-132-200-00-160-300-00](https://www.wearedevelopers.com/jobs/ext/3735877-mgr-data-analytics-132-200-00-160-300-00). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mgr., Data & Analytics ($132,200.00 - $160,300.00) - **Company:** IRVINE CO LLC - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $132,200.0 - $160,300.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Architecture, Data Integrity, Document-Oriented Databases, Salesforce.Com, SQL Databases, Tableau (Software), Snowflake, Data Analytics - **Published:** October 14, 2026 - **Apply:** https://careers.irvinecompany.com/talentcommunity/apply/1440219400/?locale=en_US ## About the Role * Advanced proficiency in business and financial concepts, as well as data architecture principles preferred * Proficient with Salesforce, Snowflake * Data modeling experience is a plus * Excellent written and verbal communication Preferred Education: * Bachelor's Degree (or equivalent experience) in Business, Engineering, or related quantitative field * Graduate degree, data science certification, or real estate industry experience a plus Preferred Years of Relevant Work Experience: * 5+ years of experience in a data or financial analyst role Additional Requirements: * Advanced proficiency in SQL and/or Tableau is required * Advanced proficiency in Excel or Google Sheets required ## Description The Manager, Data & Analytics (D&A) role is responsible for owning the development and delivery of data products and services to business stakeholders. This role will manage the delivery of advanced D&A solutions across departments, collaborating closely with business and Innovation Technology partners / stakeholders., * Own and manage a growing portfolio of data products and product roadmap * Deliver evergreen data programs to drive division level business results and support long term planning * Drive departmental improvements by streamlining processes and implementing best practices * Design and document data flows, reporting requirements, use cases, and metrics definitions * Identify and define Key Performance Indicators (KPIs), ensuring accuracy and data integrity * Lead advanced data analytics and governance training and adoption across departments