Role Description The Data Operations Analyst will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate will contribute to platform and automation improvements while working closely with Data Engineering to support data ingestion, pipelines, and data operations. - Support production data operations, including troubleshooting data issues, pipeline failures, and file delivery incidents. - Drive the design and implementation of end-to-end data quality frameworks to ensure accuracy, completeness, and reliability across data pipelines. - Build and maintain automated data validation and monitoring processes to proactively detect and resolve data issues. - Analyze data to identify trends, anomalies, and root causes, and drive improvements to systems and processes. - Design and optimize complex SQL queries, stored procedures, and views to support data analysis and operational workflows. - Oversee data reconciliation across systems, ensuring high data fidelity and alignment. - Support and troubleshoot data pipeline orchestration, including components built in C# and other backend technologies. - Assist in maintaining and enhancing applications used for data movement, transformation, and delivery. - Contribute to modernization efforts by helping transition legacy data workflows and file transfers. - Support deployment and release processes, including CI/CD pipelines and environment consistency. - Build and enhance monitoring and alerting frameworks to provide visibility into pipeline health, data quality, and operational performance. - Partner with stakeholders to prioritize and resolve high-impact data issues in a timely manner. - Collaborate with Data Engineering to support data ingestion, file processing, and pipeline operations. - Partner with Data Engineering teams to improve reliability, scalability, and performance of data workflows. Qualifications - Experience working with file-based data integrations (e.g., SFTP, flat files, EDI) and troubleshooting file delivery issues. - Strong experience with SQL (T-SQL) and Snowflake for querying, performance tuning, and troubleshooting is required. - Experience with Python for scripting, automation, and data workflows. - Strong proficiency in C#, with experience supporting or enhancing data-related applications used for orchestration, transformation, and file processing. - Experience with .NET Framework and/or .NET Core. - Ability to troubleshoot and support legacy systems while contributing to modernization efforts. - Familiarity with CI/CD pipelines (e.g., Azure DevOps) and deployment best practices. - Understanding software development lifecycle (SDLC), version control, and release processes. - Experience working with healthcare data and HIPAA compliance requirements. - Strong problem-solving skills with the ability to diagnose complex data and system issues. - Ability to collaborate across technical and business teams. - Experience mentoring team members and promoting data quality best practices. Requirements - A quiet, distraction-free environment to work from in your home. - A secure internet connection is required. - Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads. - The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. Benefits - We offer paid training and incentive plans. - Our medical, dental, vision, and life insurance benefits are available from the first day of employment. - We enjoy excellent work/life balance. - Our Employee Resource Groups build community and foster a culture of belonging and inclusion. - We match 401(k) contributions. - We offer career growth opportunities. - We celebrate 12 paid holidays and generous paid time off. Company Description For over 25 years, Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.

• Aggregate and reconcile data from multiple sources into a single, authoritative view. • Collaborate directly with the CEO and client-facing teams to translate analytical findings into strategic recommendations. • Design and maintain standardized reporting templates and dashboards that deliver consistent, clean intelligence to executives and clients across every engagement. • Own quality control on all data outputs. • Elevate the quality, consistency, and speed of client-facing work products, including decks, data summaries, and campaign status reports. • Work with the firm’s AI-powered reporting infrastructure, further enhancing data ingestion, normalization, and delivery across the project lifecycle. • Identify new opportunities for automation and champion their transformation through intelligent tooling. • Maintain data governance standards, naming conventions, and workflow documentation. • Utilize predictive analysis to surface trends and provide data-driven recommendations that allow the firm to act before problems occur.

• Support the implementation of CRS’s Responsible Data Policy and data protection practices across country programs, departments and business units. • Ensure regulatory compliance, embedding privacy principles into operations, and support the rollout of privacy management systems such as OneTrust. • Work closely with country teams, regional advisors, and global stakeholders to assess and mitigate data protection risks, and build capacity in responsible data stewardship. • Promote and support the adoption of privacy by design and default principles in project lifecycles and business processes. • Coordinate the planning, execution, and documentation of Privacy Impact Assessments (PIAs) for new and existing projects, systems, and partnerships.

• Help Midnite make smarter decisions through insight, analysis, and stakeholder partnership. • Sit at the centre of how we understand customer behaviour, retention, product performance, and commercial opportunity. • Work closely with Growth, Product, Commercial, and Trading teams to turn ambiguous business questions into clear analytical frameworks and actionable recommendations that influence real business outcomes. • Shape how analytics supports decision-making across the business.