About CoSourcing Partners
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Westmont, IL, US
Year founded
2011
Job description
Facets Data Analyst / SQL Developer
Location: Remote
Employment Type: W2 Only | Contract
We are seeking an experienced Facets Data Analyst / SQL Developer with deep technical expertise in the Facets data model and a proven track record of delivering custom Facets solutions in high-paced healthcare environments. The ideal candidate will possess exceptional SQL development skills, a deep understanding of Facets architecture, and hands-on experience with member portal integration and modernization initiatives.
This role requires an individual who can work collaboratively within cross-functional teams, communicate effectively with business stakeholders, and translate complex requirements into scalable, high-performance technical solutions.
Key Responsibilities:
Analyze, develop, and support custom extensions and enhancements within the Facets platform
Lead data mapping and integration efforts using Facets APIs for modernization of member portal platforms
Develop optimized SQL queries to extract, manipulate, and transform data from Facets databases
Leverage AWS services (SQS/SNS) via BOTO3 for seamless 3rd-party system integrations
Collaborate closely with business analysts and internal teams to define, refine, and deliver on project requirements
Ensure technical documentation and data models are up to date and align with enterprise standards
Contribute to Agile ceremonies and fast-paced delivery cycles
Required Skills & Experience:
10+ years of experience in Facets Data Analysis and Custom Development
Deep understanding of the Facets data model and its application in healthcare payer systems
Advanced SQL development experience, with a focus on performance tuning and ETL processes
Proficiency in .NET development, specifically within the context of Facets extensions
Experience integrating Facets with 3rd-party systems and APIs
Hands-on experience with AWS services (SQS, SNS) and scripting using BOTO3
Strong communication skills and ability to work collaboratively across technical and non-technical teams
Preferred Qualifications:
Prior experience in a Facets modernization or member portal integration project
Exposure to Agile/Scrum methodologies
Familiarity with HIPAA and healthcare compliance requirements
Note:
W2 candidates only. We are unable to consider C2C or third-party vendors for this position.
CoSourcing Partners is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable federal, state, or local laws.
We believe in creating a work environment where all employees feel valued, respected, and empowered to contribute to our success. Accommodations are available upon request for applicants with disabilities throughout the hiring process.
Join us and be part of a team that values diversity, equity, and inclusion.
cosourcingpartners.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a SQL Data Analyst?
A: To succeed as a SQL Data Analyst, key technical skills include proficiency in SQL programming languages, data modeling, and data visualization tools such as Tableau or Power BI. Additionally, strong analytical and problem-solving skills, as well as the ability to communicate complex data insights to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, a SQL Data Analyst can effectively extract insights from data, drive business decisions, and advance their career through opportunities in data science, business intelligence, or leadership roles.
Q: What is the career path for a SQL Data Analyst?
A: A SQL Data Analyst's typical career progression involves starting as a Junior Data Analyst, where they focus on data extraction, reporting, and basic analysis using SQL. As they gain experience, they can move into mid-level roles such as Data Analyst or Business Analyst, where they develop skills in data visualization, statistical modeling, and business acumen. Senior roles like Senior Data Analyst or Data Scientist often involve leading data-driven projects, mentoring junior analysts, and driving business strategy through advanced data analysis and machine learning techniques.
