Job Description

Locations

• USA - California – Irvine

Salary

Skills Required

• automated data pipelinesintermediate
• Power BIintermediate
• database‑centric applicationsintermediate
• Snowflakeintermediate
• data governance principlesintermediate

Required Qualifications

• Bachelor's Degree in related field and 5 years of experience or equivalent work experience based on Edwards criteria (experience, 5 years)
• Bachelor's Degree in related field and 5 years of experience or equivalent work experience based on Edwards criteria (experience, 5 years)

Preferred Qualifications

• Bachelor's Degree in related field and 7 years of experience or equivalent work experience based on Edwards criteria OR (experience, 7 years)
• Master's Degree or equivalent in related field and 5 years of experience or equivalent work experience based on Edwards criteria. (experience, 5 years)
• Bachelor's Degree in related field and 7 years of experience or equivalent work experience based on Edwards criteria OR (experience, 7 years)
• Master's Degree or equivalent in related field and 5 years of experience or equivalent work experience based on Edwards criteria. (experience, 5 years)
• Technical Skills (experience)
• Strong SQL skills and experience building automated data pipelines, including ETL/ELT development, Dataflow Gen2, and ingestion from enterprise systems such as PPM. (experience)
• Proficiency in Power BI, including semantic modeling, DAX, star schema design, and applying row‑level security (RLS). (experience)
• Ability to design, maintain, and enhance scalable data models, dashboards, and analytics solutions across disparate data sources. (experience)
• Familiarity with database‑centric applications and integrating data from multiple operational systems. (experience)
• Hands-on experience with Snowflake (experience)
• Strong SQL skills and experience building automated data pipelines, including ETL/ELT development, Dataflow Gen2, and ingestion from enterprise systems such as PPM. (experience)
• Proficiency in Power BI, including semantic modeling, DAX, star schema design, and applying row‑level security (RLS). (experience)
• Ability to design, maintain, and enhance scalable data models, dashboards, and analytics solutions across disparate data sources. (experience)
• Familiarity with database‑centric applications and integrating data from multiple operational systems. (experience)
• Hands-on experience with Snowflake (experience)
• Analytics & Problem Solving (experience)
• Ability to develop, analyze, and validate analytical or statistical models to support business decision‑making. (experience)
• Strong analytical thinking with the ability to translate business questions into data requirements, data models, and reporting solutions. (experience)
• Ability to develop, analyze, and validate analytical or statistical models to support business decision‑making. (experience)
• Strong analytical thinking with the ability to translate business questions into data requirements, data models, and reporting solutions. (experience)
• Business & Communication Skills (experience)
• Strong project management capabilities, including documenting data flows, business processes, and analytical requirements. (experience)
• Excellent written and verbal communication skills, with the ability to clearly present complex findings to stakeholders and leaders across the organization. (experience)
• Strong interpersonal and stakeholder management skills with the ability to influence, partner cross‑functionally, and drive achievement of objectives. (experience)
• Strong project management capabilities, including documenting data flows, business processes, and analytical requirements. (experience)
• Excellent written and verbal communication skills, with the ability to clearly present complex findings to stakeholders and leaders across the organization. (experience)
• Strong interpersonal and stakeholder management skills with the ability to influence, partner cross‑functionally, and drive achievement of objectives. (experience)
• Data Governance & Quality (experience)
• Knowledge of data governance principles, including stewardship, data quality monitoring, standardization, and issue resolution. (experience)
• Understanding of master data management concepts including domain/entity definitions, golden records (single source of truth), data matching, and data enrichment. (degree)
• Commitment to maintaining data integrity through structured validation, adherence to processes, and continuous quality improvement. (experience)
• Knowledge of data governance principles, including stewardship, data quality monitoring, standardization, and issue resolution. (experience)
• Understanding of master data management concepts including domain/entity definitions, golden records (single source of truth), data matching, and data enrichment. (degree)
• Commitment to maintaining data integrity through structured validation, adherence to processes, and continuous quality improvement. (experience)
• Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California (CA) the base pay range for this position is $92,000 to $130,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. (experience)

Responsibilities

• Manage the complete data pipeline, from data intake, validation, mining, modeling, visualization, and reporting to end-user BI tools (e.g., Power BI).
• Partner with team to develop new analyses; collaborate with and influence stakeholders/leadership through fact-based analyses, drive change, and develop solutions, with continued enhancements.
• Design, develop, deploy, maintain, and enhance star-schema and semantic data models to support dashboards, reporting, and advanced analytics.
• Work with PPM tool to support and identify incremental tables for reporting. Update ingestion to include new tables, update semantic model, update reports as requested by stakeholders.
• Effective communication and listening skills to understand stakeholder needs and effectively problem solve to deliver and communicate complex analytical findings clearly and concisely.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Build and maintain automated ETL processes to ensure consistent, scalable, and high-quality data delivery.
• Partner with stakeholders to monitor and improve data quality through structured validation, governance, and standardization activities.
• Manage the complete data pipeline, from data intake, validation, mining, modeling, visualization, and reporting to end-user BI tools (e.g., Power BI).
• Partner with team to develop new analyses; collaborate with and influence stakeholders/leadership through fact-based analyses, drive change, and develop solutions, with continued enhancements.
• Design, develop, deploy, maintain, and enhance star-schema and semantic data models to support dashboards, reporting, and advanced analytics.
• Work with PPM tool to support and identify incremental tables for reporting. Update ingestion to include new tables, update semantic model, update reports as requested by stakeholders.
• Effective communication and listening skills to understand stakeholder needs and effectively problem solve to deliver and communicate complex analytical findings clearly and concisely.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Build and maintain automated ETL processes to ensure consistent, scalable, and high-quality data delivery.
• Partner with stakeholders to monitor and improve data quality through structured validation, governance, and standardization activities.

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