The Reporting Analyst will deliver accurate, timely, and actionable reporting to support business decisions and client outcomes. Responsibilities include managing ad hoc data requests, ensuring data quality, and automating recurring reporting processes.
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
Qualifications
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
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