What are the responsibilities and job description for the Data Operations Quality Analyst position at MOBE, LLC?
Company overview
MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.
MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.
Your role at MOBE
This is an exciting time at MOBE and we are growing fast. At MOBE, we have a lot of data: eligibility, medical and pharmacy claims, marketing campaign impressions, transcripts from participant interactions, etc.
As a Data Operations Quality Analyst, you will ensure the accuracy, consistency, and integrity of MOBE’s data pipelines. Partnering with business and technology teams to design, implement, and optimize data quality processes that support business operations and analytics. Your expertise in healthcare data, analytical mindset, and ability to collaborate will help shape the future of data-driven decision-making at MOBE.
Responsibilities
- Execute and monitor operational data pipelines to ensure seamless data flow across multiple systems.
- Identify, assess, and document data quality issues and their impact on business operations.
- Utilize ETL tools for execution of data processes, ensuring accuracy and consistency in data movement.
- Collaborate with business owners, analysts, developers, and technology teams to drive data quality improvements.
- Develop and implement automated quality checks to detect anomalies and prevent data inconsistencies.
- Work closely with data engineers, analysts and business intelligence teams to align pipeline execution with business needs.
- Effectively communicate data quality issues to technical and non-technical stakeholders.
- Determine root causes of data discrepancies and recommend long-term solutions.
- Participate in special projects that support our mission and business objectives.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
