Data Operations Quality Analyst

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.

Qualifications

Required

• Bachelor’s degree or equivalent.
• 3 years of experience in data analysis, with at least 2 years in a healthcare-related field (preferably payer).
• Strong knowledge of healthcare medical and pharmacy claims data, including formats, processing, and analytics.
• Experience executing and monitoring operational data pipelines in a production environment.
• Experience using ETL tools for execution (e.g., Airflow, dbt, Informatica, Talend, or similar).
• Proficiency in SQL with the ability to write queries for data validation and transformation.
• Experience developing test plans and use cases focused on business and data definitions.
• Strong analytical and problem-solving skills to tackle complex data challenges.
• Experience with data quality automation and validation processes.
• Familiarity with Agile methodologies and the data development lifecycle.
• Ability to manage multiple priorities in a fast-paced environment.
• Demonstrate oral/written communication and presentation skills to effectively communicate moderately complex present data findings.to business users and management
• Ability and eagerness to learn new tools and applications.
• Self-starter able to work independently on defined tasks and priorities, seek out guidance/assistance when issues arise, or objectives require clarification.
• Proficient in Microsoft Word and Excel.

Preferred

• Experience using DBT Cloud to execute and manage data pipelines, ensuring efficient data transformation and workflow automation.
• Experience with Talend for executing and managing ETL jobs, optimizing data workflows, and ensuring seamless data integration.
• Experience with Jupyter Notebooks for data exploration and analysis.

Guiding Principles: We want employees who are kind, talented, and committed, who live by our guiding principles and choose to work at MOBE because of these principles.

• Care about people. We only succeed in our mission because we take good care of our own with the same energy, empathy, and expertise we bring to the MOBE program.We honor who people are at work and outside of work.
• Attitude counts. Our people believe in a friendly, human approach to helping people with their health and enjoy a culture built on trust, positivity, and well-being.
• Do good together. As a mission-based organization, we need people who like to collaborate and are energized by doing good things.
• Believe in the power of human potential. We need people who want opportunities for personal growth and believe in making a difference in the health care space, person by person.
• Embrace new ideas. As a high-growth organization, we need people who have the energy and flexibility to innovate and evolve with our program.
• Apply learnings. We learn by doing, and we’re going to get better at helping people by being able to anticipate their needs. We need people who embrace continuous improvement and are dedicated to delivering results.
• Be relentless in the pursuit of awesome. MOBE offers a unique opportunity to help others lead more fulfilling, enjoyable lives. We need people who are ready to embrace this mission.

Benefits and Compensation

We offer a comprehensive benefits package including:

• Paid time off
• Medical/dental/vision insurance
• Life/disability insurance
• 401(K) match
• Tuition reimbursement
• Other benefits to eligible employees

The salary range for this position is: $85,000-$105,000 based on experience and qualifications.