Data Analyst

Remote • Posted 13 hours ago • Updated 23 minutes ago
Full Time
Remote
USD $72,283.20 - 100,759.30 per year
Fitment

Dice Job Match Score™

✨ Finding the perfect fit...

Job Details

Skills

  • Military
  • FSA
  • Life Insurance
  • Professional Development
  • Online Learning
  • Management
  • Legal
  • Insurance
  • Information Technology
  • Computer Science
  • Data Analysis
  • Health Care
  • Regulatory Compliance
  • Auditing
  • Electronic Commerce
  • Law
  • English
  • Spanish
  • Fraud
  • Banking
  • Finance
  • Recruiting
  • Applicant Tracking System
  • Data Modeling
  • Analytics
  • Reporting
  • Snow Flake Schema
  • Dashboard
  • Business Intelligence
  • Tableau
  • Microsoft Power BI
  • Machine Learning (ML)
  • Artificial Intelligence
  • Predictive Modelling
  • Regression Analysis
  • Forecasting
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • API
  • Amazon S3
  • Amazon DynamoDB
  • Extract
  • Transform
  • Load
  • ELT
  • Data Integration
  • Workflow

Summary

Your future role at a glance

Location: Remote

Department/Specialty: Dispensary of Hope

Schedule: Full Time | Days | Monday-Friday

Salary: $72,283.20-$100,759.30

Life at Ascension: Where purpose meets opportunity

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you'll find an inclusive and supportive environment where your contributions truly matter.

Benefits that help you thrive

  • Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
  • Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance
  • Time to recharge: pro-rated paid time off (PTO) and holidays
  • Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning
  • Emotional well-being: Employee Assistance Program , counseling and peer support, spiritual care and stress management resources
  • Family support: parental leave, adoption assistance and family benefits
  • Other benefits: optional legal and pet insurance, transportation savings and more

Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process.

How you'll make an impact in this role

  • Strong understanding of data modeling for analytics and reporting (e.g., building star/snowflake schemas, optimizing datasets for BI tools). Experience building scalable and optimized data models for large and complex datasets
  • Experience designing and maintaining dashboards using BI tools (e.g., Tableau, Amazon QuickSight, Power BI)
  • Experience with AI and Machine Learning tools and platforms (e.g., Google Cloud Platform/BigQuery, Azure AI Services, predictive modeling techniques such as regression, classification, or forecasting)
  • Experience working in cloud environments (e.g., AWS, Azure, or Google Cloud). Experience with AWS services such as Lambda, API Gateway, S3, and DynamoDB
  • Experience designing and maintaining data pipelines (ETL/ELT) and data integration workflows
What minimum requirements you'll need

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
What additional preferences we're seeking

  • Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field
  • Experience working in healthcare or regulated environments (e.g., DSCSA compliance, audit-ready reporting)
  • Experience with eCommerce data and integrations (e.g., BigCommerce or similar platforms)


Equal employment opportunity employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

Fraud prevention notice

Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.

E-Verify statement

Employer participates in the Electronic Employment Verification Program. Please click here for more information.

Responsibilities

  • Strong understanding of data modeling for analytics and reporting (e.g., building star/snowflake schemas, optimizing datasets for BI tools). Experience building scalable and optimized data models for large and complex datasets
  • Experience designing and maintaining dashboards using BI tools (e.g., Tableau, Amazon QuickSight, Power BI)
  • Experience with AI and Machine Learning tools and platforms (e.g., Google Cloud Platform/BigQuery, Azure AI Services, predictive modeling techniques such as regression, classification, or forecasting)
  • Experience working in cloud environments (e.g., AWS, Azure, or Google Cloud). Experience with AWS services such as Lambda, API Gateway, S3, and DynamoDB
  • Experience designing and maintaining data pipelines (ETL/ELT) and data integration workflows

Qualifications

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10513367
  • Position Id: 24aa62000300dd41a1100c2ce10c21f7
  • Posted 13 hours ago
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