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Sobre este puesto de EDW AI Analyst en Easterseals Southern California

Easterseals Southern California · Presencial · US-CA-Irvine

Easterseals Southern California transforms lives every day. For over a century, Easterseals has championed inclusion and independence—delivering essential services like early childhood programs, autism services, employment and independent living support to more than 29,000 people each year. Through advocacy and education, we break barriers and create opportunities for the one-in-four Americans with disabilities. 

Under general direction, Enterprise Data Warehouse (EDW) AI Analyst 1 plays an essential role in bridging the gap between advanced artificial intelligence technologies and the organization’s business applications, operational dashboards, data analytics, and reporting initiatives.  This position requires a unique blend of skills, combining expertise in AI, Machine Learning, Python programming with a solid understanding of business requirement documentation and user story creation necessary for dashboard development. In all responsibilities, the position demonstrates a strong commitment to ESSC’s mission and values by supporting a high‑quality, person‑centered service environment.

Hiring Salary Range: $78,000.00k - $97,000.00k / yr.

OVERVIEW OF POSITION:

Under general direction, Enterprise Data Warehouse (EDW) AI Analyst 1 plays an essential role in bridging the gap between advanced artificial intelligence technologies and the organization’s business applications, operational dashboards, data analytics, and reporting initiatives.  This position requires a unique blend of skills, combining expertise in AI, Machine Learning, Python programming with a solid understanding of business requirement documentation and user story creation necessary for dashboard development. In all responsibilities, the position demonstrates a strong commitment to ESSC’s mission and values by supporting a high‑quality, person‑centered service environment.

ESSENTIAL FUNCTIONS:

  • Supports the development, testing, and operationalization of AI-driven notebooks, data pipelines, and data models that enhance processes and deliver maximum insight to dashboards.
  • Documents and maintain specifications for data models, data sources, transformation processes, and stakeholder requirements necessary for operationalizing AI-driven features.
  • Partners with service line and business unit stakeholders to understand AI, ML, and data modeling with regard to reporting needs, providing insights, and resolving issues accessing data models or using dashboards.
  • Analyzes and translates business requirements into data models within the EDW framework.
  • Supports the development and optimization of ETL processes, ensuring maximum data integrity through
  • AI-based validation and cleansing techniques.
  • Contributes to data governance efforts by helping develop and enforce policies, standards, and best practices for AI usage for the Data Team.
  • Performs other duties as assigned.

EDUCATION:

  • Bachelor's degree in a quantitative discipline (Artificial Intelligence, Computer Science, Information Systems, Data Science or related field)
  • Professional certification in Artificial Intelligence or Data Science is preferred.

EXPERIENCE:

  • 2+ years of relevant experience as a data analyst, focusing on AI, machine learning, data science, or related technologies.
  • Project experience and/or coursework in using Python for data analysis, data processing, machine learning, designing and developing data models, and familiarity with Pyspark libraries, AI tools, frameworks, such as PyTorch, Scikit-learn,  or similar.
  • Introductory experience with Microsoft Power Bi or other Business Intelligence framework is desirable
  • Experience with Microsoft Fabric (or other cloud platforms, e.g. Databricks, Snowflake, AWS) is preferred.
  • Experience in a healthcare environment or non-profit environments is preferred.

KNOWLEDGE, SKILLS, ABILITIES:

  • Proficiency in Python notebook creation, utilizing libraries for data mining, and data modeling best practices.
  • Understanding of ETL processes and hands on experience with data extraction, transformation, and loading tools.
  • Ability to work with structured and unstructured data using Python and/or SQL and other industry-standard data modeling tools.
  • Good foundation in cloud data warehousing concepts and business intelligence methodologies.
  • Excellent communication, collaborative mindset, and stakeholder interaction skills.
  • Understanding of data governance policies and procedures.
  • Demonstrated proficiency in Microsoft Office Applications.
  • Ability to interpret and apply policies, procedures, and regulations.
  • Consistent demonstration of good judgment, discretion, professionalism and customer service.
  • Ability to travel locally as needed; must maintain a driving record in compliance with Transportation Safety Standards and possess valid auto insurance and vehicle registration.

PHYSICAL REQUIREMENTS IN ACCORDANCE WITH ADA:

  • Carrying/Lifting:

Occasional / 0-30 lbs.

  • Standing:

Occasional / Up to 3 hours per day.

  • Sitting:

Constant / Up to 8 hours per day.

  • Walking:

Occasional/ Up to 3 hours per day.

  • Travel:

Local to Southern California.

  • Repetitive Motion/Activity:

Keyboard activity, telephone use, writing.

  • Visual Acuity:

Ability to view computer monitor and read printed materials.

  • Environmental Exposure:

None 

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