Senior Data Analyst

About Solera

Solera is changing lives by guiding people to better health solutions that work. Solera’s value-based technology platform enables successful interventions that address the most prevalent and costly chronic conditions. Solera matches consumers to their best-fit solution within carefully curated networks of digital and community-based point solutions and drives superior engagement and outcomes by managing performance. Solera’s technology platform serves payers and employers by streamlining, integrating, and creating accountability in the point solution ecosystem.

About the Position

We are seeking a highly skilled and motivated Senior Data Analyst to join our Data Engineering team. The ideal candidate will possess a strong technical background, an independent mindset, and the ability to take the reins and run with assignments. This is a fully remote position, offering flexibility and the opportunity to work from anywhere in the United States.

What You’ll Do

• Data Analysis and SQL Expertise: Utilize your SQL experience to analyze complex datasets. 
• Mapping / Testing Specifications: Lead the development and documentation of mapping specifications based on large data files and test case scenarios for the testing phase. Ensure accuracy and consistency in data transformation processes.
• Healthcare Payor Data: Leverage your experience with healthcare payor data to drive insights and support data-driven decision-making.
• Client Interaction: Engage with clients to understand their needs, provide data insights, and communicate complex technical concepts in an accessible manner. Build and maintain strong client relationships.
• Independence and Initiative: Demonstrate a proactive approach to problem-solving. Take ownership of assignments, work independently, and deliver high-quality results with minimal supervision.
• Collaboration: Collaborate with cross-functional teams to support data-related projects. Partner with data engineers to contribute to the continuous improvement of our data practices.

What You’ll Need

• Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field is preferred.
• Minimum of 5 years of job-related SQL experience, preferably with Google BigQuery or SQL Server.
• Proficient in SQL and experienced with large data file analysis and transformation.
• Experience with healthcare payor data is essential.
• Proven ability to communicate effectively with clients and understand their data needs.
• Strong experience in leading and documenting mapping specifications and/or creating / automating test cases.
• Comfortable working in a fully remote environment, demonstrating self-motivation and discipline.

Where you are located 

• This is a remote position. Must be located in the United States.
• The Company may from time to time require you to travel temporarily to other locations in connection with the Company's business (5-10% travel)

Benefits

• Remote first culture
• Competitive salary
• Unlimited paid time off
• Paid pregnancy and parental leave
• Adoption assistance program
• Medical, dental and vision insurance
• 13 company holidays
• 401k + company match
• Free FitBit, Sworkit and Headspace (meditation & mindfulness app) account
• Casual and fun atmosphere

Disclaimer

The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time.

EEO

Solera Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Solera Health complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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