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Reporting Analyst; Remote
Remote / Online - Candidates ideally in
Oak Lawn, Cook County, Illinois, 60453, USA
Listed on 2026-10-04
Oak Lawn, Cook County, Illinois, 60453, USA
Listing for:
Inspira Financial Trust, LLC
Remote/Work from Home
position Listed on 2026-10-04
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Reporting Analyst will deliver accurate, timely, and actionable reporting that supports business decisions and client outcomes. This role partners with internal and external stakeholders to translate business questions into clear analysis, manage a high volume of varied reporting requests, and ensure outputs are accurate, well-documented, and fit for business use. The ideal candidate is energized by solving diverse data problems, communicates proactively, treats data quality and privacy as non-negotiable, and brings a service-oriented mindset to supporting stakeholders and teammates.
Adhoc reporting
- Respond to ad hoc data requests from stakeholders, translating business questions into clean, accurate analysis with appropriate context
- Receive, triage, and fulfill the ad hoc requests within established SLA targets
- Maintain a request queue, communicate status proactively, and flag capacity conflicts during peak periods
- Identify recurring ad hoc requests and identify candidates for automation or standard report development
- Handle sensitive data, including PHI and/or PII, in accordance with company policies, privacy standards, and applicable regulatory requirements
- Perform data validation, reconciliation, and quality checks to ensure outputs are accurate, complete, and fit for business use.
- Monitor re-run rates and analyze root causes; partner with the data visualization team to close self service reporting gaps that drive ad hoc volume
- Document report specifications, data dictionaries, and business logic for all standard and recurring outputs
- Contribute to data catalog initiatives
- Write production-quality SQL to extract, transform, and validate data from multiple sources
- Use Python for data wrangling, automation of recurring processes, statistical analysis, and lightweight tooling
- Maintain a personal queue of both ad hoc and recurring work, managing competing priorities transparently and proactively
- Document your work - queries, logic, and outputs - so your analyses are reproducible and your teammates aren't starting from scratch
- Build and maintain a library of parameterized report templates to reduce per-request development time
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