Inspira Financial is your devoted health, wealth, retirement, and benefits administrator. We work with organizations and individuals to navigate paths towards a better future and turn everyday actions into life-changing impact. 

We believe that together, we have the power to enrich lives. We take on the incremental, the complex, and the time-consuming—providing solutions that strengthen and simplify the health and wealth journey.    
 
Inspira Financial is the brand name used for products and services provided by one or more of the Inspira Financial group of companies, including Inspira Financial Trust, LLC (formerly known as Millennium Trust Company, LLC) and Inspira Financial Health, Inc. (formerly known as PayFlex Systems USA, Inc.).  

Job Summary & Responsibilities:

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.

Ad hoc 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 escalate 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

Data Quality & Process Improvement:

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

Technical Skills:

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

Education & Experience:

2 -5 years experience in a reporting analyst role, ideally in a client-facing or multi-stakeholder environment in financial services or healthcare

Experience managing a high volume, varied requests across multiple stakeholder types

Bachelor’s Degree in Data Analytics, Information Systems, Statistics, Mathematics, Computer Science, Engineering, Data Science, or similar

Skills & Abilities:

Strong, production-quality SQL – experience with complex joins and query optimization

Proficiency in Python for data manipulation, automation, and analysis

Use request management tools to track intake, prioritization, status, SLAs and delivery history

Clear written and verbal communication

Ability to prioritize under deadline pressure

High attention to detail and built-in instinct to QA your own work

Familiarity with data warehouse environments (Snowflake, BigQuery)

Familiarity with AI-assisted coding or analytics tools, such as Claude Code, GitHub Copilot, or similar

Experience with Git Repo or similar

Experience with BI platforms (Tableau, Power BI, Looker)

Ability to collaborate with data engineering, data visualization, product, operations, compliance, or account management as appropriate

Exposure to account management, financial services, and/or healthcare