Your future role at a glanceLocation: Remote
Department: Healthcare Data Intelligence
Schedule: Full time
Salary: $68,450.00 - $95,416.00 per year
#LI-Remote #ADSI #internalops #growth
Life at Ascension: Where purpose meets opportunityAscension 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- Solicit, clarify and analyze customer requirements and develop comprehensive documentation, interfacing with the customer to ensure project objectives are achieved.
- Serve as a Subject Matter Expert (SME) for large, complex datasets (e.g., adjudicated claims), discovering, questioning, being curious about, and documenting various analytic scenarios within the data.
- Utilize BigQuery, SQL, Python or similar tools to perform deep-dive data analysis, data validation, and inform the design of standardized data products for end-users.
- Collaborate with technical partners on data ingestion and warehousing efforts to ensure necessary data attributes are acquired, focusing on data quality and analytical readiness.
- Collaborate with stakeholders to strategically create a data foundation for analytics, requiring a big-picture mindset and an openness to new approaches.
What minimum requirements you'll needEducation:
- 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- Strong proven ability for data profiling, researching, and interpreting complex, large-scale data, and a strong conceptual understanding of data warehousing principles, data modeling, and data marts, with 1-3 years of experience interpreting user stories and applying the appropriate technical solutions to deliver operational results preferred.
- Lead team conversations, confidently championing big-picture brainstorming, translating ideas into actionable, collaborative project roadmaps, including identifying milestones, deliverables and resource requirements.
- Strong English communication skills, comfortable speaking with and translating between technical and non-technical team members at all levels of the organization, along with experience with fully adjudicated Medical and Rx claims, Eligibility, PCP Attribution, Premium, Provider, and/or Supplemental data highly preferred. Medicare Advantage experience is a plus.
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.
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Responsibilities- Solicit, clarify and analyze customer requirements and develop comprehensive documentation, interfacing with the customer to ensure project objectives are achieved.
- Serve as a Subject Matter Expert (SME) for large, complex datasets (e.g., adjudicated claims), discovering, questioning, being curious about, and documenting various analytic scenarios within the data.
- Utilize BigQuery, SQL, Python or similar tools to perform deep-dive data analysis, data validation, and inform the design of standardized data products for end-users.
- Collaborate with technical partners on data ingestion and warehousing efforts to ensure necessary data attributes are acquired, focusing on data quality and analytical readiness.
- Collaborate with stakeholders to strategically create a data foundation for analytics, requiring a big-picture mindset and an openness to new approaches.
QualificationsEducation:
- 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.