Quality & Risk Data Analyst
Job Description
We are seeking a Quality & Risk Data Analyst who is comfortable working in a remote setting. On a day-to-day basis you will be the primary data analyst responsible for the end-to-end preparation, validation, and delivery of quality and risk related datasets. Typical daily activities include:
Logging into the SQL environment to run, debug, and optimize queries that extract and transform source data
Reconciling incoming data feeds and performing row-level and aggregate validation checks after scheduled data loads
Triaging and resolving data discrepancies by tracing issues back to source tables or upstream ETL processes and coordinating fixes with the SQL/development team
Building reproducible query logic and documented SQL scripts that implement business rules for HEDIS/quality measures and claims-derived metrics
Producing and publishing routine reports and data files (including uploads to vendor/portal systems) and verifying post-upload accuracy
Creating and maintaining clear technical documentation and runbooks for data processes, validation checks, and change control steps
Participating in peer reviews of SQL/query logic and version-controlled change submissions
Partnering proactively with quality, risk, and business stakeholders to translate metric definitions into testable logic, scope ad-hoc requests, and present findings with actionable recommendations
Performing ad-hoc analyses to investigate trends, root causes, and measure variances and producing concise summaries and visualizations for business audiences
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Must-haves Requirements:
Strong SQL skills
Comfortable logging into databases, writing complex queries, computing business logic, and manipulating data for analysis and reporting
Proven experience as a data analyst (preferably 5+ years overall experience)
Experience working with quality measures and metrics or claims/finance data
Demonstrated ability to validate data loads, perform QA checks, and troubleshoot data issues end-to-end
Strong technical writing and documentation skills (systems, procedures, runbooks) Preferred Requirements:
Experience with IBM AS/400 (iSeries) environments or familiarity with systems that interface to legacy claim platforms
Background with IPA/MSO medical management models
Familiarity with basic scripting or modern languages (e.g., Python, C#) is a plus but not required
We are seeking a Quality & Risk Data Analyst who is comfortable working in a remote setting. On a day-to-day basis you will be the primary data analyst responsible for the end-to-end preparation, validation, and delivery of quality and risk related datasets. Typical daily activities include:
Logging into the SQL environment to run, debug, and optimize queries that extract and transform source data
Reconciling incoming data feeds and performing row-level and aggregate validation checks after scheduled data loads
Triaging and resolving data discrepancies by tracing issues back to source tables or upstream ETL processes and coordinating fixes with the SQL/development team
Building reproducible query logic and documented SQL scripts that implement business rules for HEDIS/quality measures and claims-derived metrics
Producing and publishing routine reports and data files (including uploads to vendor/portal systems) and verifying post-upload accuracy
Creating and maintaining clear technical documentation and runbooks for data processes, validation checks, and change control steps
Participating in peer reviews of SQL/query logic and version-controlled change submissions
Partnering proactively with quality, risk, and business stakeholders to translate metric definitions into testable logic, scope ad-hoc requests, and present findings with actionable recommendations
Performing ad-hoc analyses to investigate trends, root causes, and measure variances and producing concise summaries and visualizations for business audiences
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Must-haves Requirements:
Strong SQL skills
Comfortable logging into databases, writing complex queries, computing business logic, and manipulating data for analysis and reporting
Proven experience as a data analyst (preferably 5+ years overall experience)
Experience working with quality measures and metrics or claims/finance data
Demonstrated ability to validate data loads, perform QA checks, and troubleshoot data issues end-to-end
Strong technical writing and documentation skills (systems, procedures, runbooks) Preferred Requirements:
Experience with IBM AS/400 (iSeries) environments or familiarity with systems that interface to legacy claim platforms
Background with IPA/MSO medical management models
Familiarity with basic scripting or modern languages (e.g., Python, C#) is a plus but not required