Data Operations Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Operations Analyst in United States.

This role sits at the intersection of data, operations, and business analysis, supporting complex healthcare data initiatives that drive accuracy, efficiency, and better decision-making across the organization. You will work closely with technical and non-technical teams to translate business requirements into structured data workflows and reliable reporting solutions. The position plays a key role in ensuring data integrity across systems, optimizing data pipelines, and supporting continuous improvement of operational processes. You will contribute to data validation, troubleshooting, and root cause analysis while helping teams interpret and act on data insights. Working in a highly collaborative, remote-first environment, you will engage with modern data platforms such as Databricks and Azure. This is a hands-on analytical role ideal for someone who enjoys solving data problems and improving how data is used across the business.

Accountabilities

* Collaborate with business stakeholders to gather, document, and translate data and reporting requirements into structured workflows.

* Work cross-functionally with Product, Engineering, Analytics, and Client Delivery teams to improve data processes and systems.

* Use SQL and related tools to support reporting, dashboards, and data extraction for decision-making.

* Ensure data accuracy, consistency, and integrity through validation, reconciliation, and quality assurance checks.

* Perform file testing and data verification during implementations to ensure compliance with specifications.

* Conduct root cause analysis on data issues and support the implementation of long-term process improvements.

* Troubleshoot data and application issues, documenting findings and recommending corrective actions.

* Support and optimize data workflows and pipelines within platforms such as Databricks and Azure DevOps.

* Contribute to automation and process optimization initiatives to improve operational efficiency.

* Maintain clear documentation of data processes, definitions, and workflows for stakeholders and teams.

Requirements

* Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, or a related field (or equivalent experience).

* 2+ years of experience in data operations, data analysis, or business systems analysis roles.

* Hands-on experience with SQL and cloud-based data environments such as Databricks and Azure.

* Understanding of ETL/ELT pipelines, data warehousing concepts, and data integration processes.

* Experience with data validation, data quality assurance, and ensuring system-wide data consistency.

* Strong ability to gather, document, and translate business and technical requirements.

* Proficiency in Excel, including pivot tables, VLOOKUPs, and advanced formulas.

* Experience with data visualization tools such as Tableau, Power BI, or Looker is a plus.

* Strong analytical, problem-solving, and organizational skills with high attention to detail.

* Excellent communication skills with the ability to bridge technical and non-technical audiences.

* Familiarity with Python, APIs, or Azure DevOps is a plus.

* Experience in healthcare or regulated data environments is an added advantage.

Benefits

* Fully remote work environment with provided equipment.

* Comprehensive health coverage including medical, dental, and vision insurance.

* HSA, FSA, and DCFSA spending account options.

* 401(k) plan with company match and immediate vesting.

* Generous paid time off including vacation, sick leave, and holidays.

* Paid maternity and paternity leave support.

* Employee Assistance Program offering counseling and support services.

* Pet insurance and employee discount programs.

* Community involvement opportunities, including paid volunteer time.

* Inclusive, flexible, and collaborative remote work culture focused on impact and innovation.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.