Data Operations Analyst III

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Come help us execute on mission-critical projects in the role of Data Operations Analyst. In this job you’ll be a key contributor as we establish new efficiencies and automations, facilitating our success in a rapidly-changing environment. You’ll be responsible for the intake, processing, and analytics of external data files that drive far-reaching business metrics, enrollment, and revenue.

Your goal in this role will be to develop and manage a system for efficient and effective data processing and warehousing that helps the department scale. This is a collaborative role, working with several internal departments as well as client stakeholders, so we’re looking for a people-person who can effectively converse with partners and clients on our data needs, while effectively tracking details, assuring data integrity, and gaining insights from data. Passion, motivation, and the ability to drive efficiency will take you far as well! 

Enjoy a great variety, challenge and learning opportunity as you manage a mix of responsibilities that involve data analysis, ETL, automation, data visualization, client interaction, and much more!

Responsibilities

• Implement the ingestion of a wide variety of medical data feeds through our ETL 

• Medical/provider claims data
• Pharmacy benefit management/pharmacy claims
• Wellness programs and biometric data
• Eligibility and census data

• Create new monitoring tools and data visualizations for our inbound file feeds
• Ensure data integrity and unlock key insights, using our vast data sets
• Monitor and triage critical alerts to enforce business rules and ensure data integrity for all downstream systems
• Develop automation scripts using Python or R to gain efficiencies in existing processes
• Engage with partners, clients, and benefit management vendors to obtain pertinent data files
• Work with technical and non-technical client stakeholders to explain data concepts and enforce data requirements
• Establish strong relationships with partners and clients with a goal of standardizing data file templates
• Partner with Teladoc Health’s client-facing teams to establish and maintain required data source feeds
• Provide leadership and mentorship to other Data Ops Analysts
• Collaborate with Product, Reporting, Clinical, Engineering, and other Operational teams on developing data-driven solutions

Candidate Profile

• 4+ years’ experience with data processing and analytics
• Strong SQL skills (Redshift, PostgreSQL, MySQL, MSSQL)
• Strong communications, project management, and organizational skills
• Some experience with Python or similar scripting
• Data warehousing and ETL experience
• Data visualization or similar BI experience 
• Experience developing and maintaining operational processes
• A Bachelor’s Degree in Computer Science, Information Systems or a related field (MS preferred)

Additional desired qualifications:

• Experience in the healthcare industry
• Experience working with medical or pharmacy claims data