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Amity Foundation

Data Analyst - IT

Full-TimePosted on 10/28/2026
$65k - $75k/yr
Junior, Mid
Bachelor's
Los Angeles, CA, USA
In PersonOnsite in Los Angeles; occasional local travel.
Data & AnalyticsData Engineering, Business Intelligence

About the job

Requirements
  • At least 2 years of experience or related work, and/or a bachelor's degree in a technical or other applicable discipline.
  • Proven experience as a Data Analyst or in a similar role, with a track record of delivering data-driven insights.
  • Proven experience with data visualization tools such as Tableau, Power BI, or similar non-Excel software.
  • Proven experience in ETL development, including proficiency with ETL tools such as Apache NiFi or Python.
  • Understanding of data governance principles, data security, and compliance regulations.
  • Ability to adapt to evolving data technologies and industry best practices.
  • Ability to adjust or move objects up to 50 pounds in all directions; remain stationary for prolonged periods; perform repetitive wrist, hand, or finger motions; move between work yards daily; walk on hard or uneven surfaces; communicate verbally and in writing; use close, distance, color, peripheral, and depth vision; and occasionally climb, bend, stretch, reach, or stoop.
  • Ability to change direction as priorities shift and adapt to changing circumstances.
  • Ability to cope with occasionally difficult or temperamental students and faculty and with mental and emotional stress related to the position.
  • Ability to work indoors and occasionally outdoors in precipitation, snow, and wind, and to work in an incarcerated setting with noise levels that may be loud and temperatures that vary seasonally.
  • Ability to travel locally occasionally and operate motor vehicles.
Responsibilities
  • Design and implement ETL processes to extract data from diverse sources, transform it into a usable format, and load it into databases or data warehouses.
  • Collaborate with data engineers to optimize ETL pipelines for scalability, reliability, and performance.
  • Monitor and troubleshoot ETL processes to ensure data quality and consistency.
  • Automate ETL workflows to streamline data integration and reduce manual intervention.
  • Create interactive dashboards, reports, and data visualizations using Power BI or other relevant software.
  • Connect Power BI to databases, APIs, and online services.
  • Transform raw data into meaningful insights, trends, and actionable information.
  • Collaborate with stakeholders to understand reporting needs and provide tailored Power BI reporting.
  • Implement and enforce data governance practices, including data quality standards, data lineage, and metadata management.
  • Ensure compliance with data security and privacy regulations, including access controls and encryption.
  • Establish data retention policies and manage data archiving and purging processes.
  • Provide data-driven strategies that enhance operational efficiency and drive improvements.
  • Document ETL processes, API endpoints, and Power BI reports for knowledge sharing and troubleshooting.
  • Collaborate with the department Data Manager to provide training and support to end users and stakeholders on data access, API usage, and Power BI reporting.
  • Stay updated on industry trends, tools, and techniques in data analysis and visualization.
  • Identify opportunities for process improvement and automation to enhance data analysis efficiency.
  • Perform other related duties as assigned.
Desired Qualifications
  • Programming skills, including knowledge of scripting languages such as Python or PowerShell for automation.
  • Expertise in API development and management, with knowledge of RESTful API design principles.
  • Demonstrated experience with one or more of the following modern data management concepts: data lakes, nonrelational databases (NoSQL), cloud hosting (AWS), serverless storage, or automated database recovery.
  • Project management.

About the company

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