Senior Advisor Application Designer Healthcare Analytics Business Intelligence (Remote)

Join a dynamic team that leverages cutting-edge technologies to enhance the health and well-being of individuals and communities, particularly those most vulnerable. This role allows you to make a meaningful impact while working in a supportive environment that values flexibility, growth, and career development.

About The Role

As an Advisor Application Designer specializing in SQL Server, Oracle, and Business Intelligence, you will play a key role in utilizing technology to help clients improve healthcare outcomes. This position is ideal for individuals passionate about data and technology, combining technical expertise with a mission to address some of healthcare’s most significant challenges.

Key Responsibilities

• Support analytics, report design, and data integration processes vital to Data Analytics services.
• Collaborate with clients to develop critical reports, perform research, and design data specifications.
• Create mapping documents and implement feedback from stakeholders, team leaders, clients, and vendors.
• Provide suggestions on improving current operational processes and practices.
• Work closely with analysts and engineers to deploy solutions in both batch and real-time environments while tracking model performance.
• Build complex datasets and workflows from multiple sources using SQL, Python, Spark, and SSRS.
• Present findings to both technical and non-technical audiences, making data accessible to all.
• Engage with key business stakeholders to discuss opportunities for business growth and improvements.
• Champion the use of analytics across the organization, driving innovation and adoption.
• Support the design, development, and testing of machine learning (ML) models to enhance healthcare outcomes.

Qualifications & Skills

• 9+ years of experience with SQL Server and MS-SQL scripting, along with expertise in Oracle, MongoDB, and Vertica DB.
• Experience working with medical, institutional, and pharmacy claim data (HEDIS, ECQM, First Data Bank).
• Proven track record in supporting complex data science projects from concept to production.
• Proficiency in data visualization tools (e.g., Tableau, Databricks) for sharing insights.
• Hands-on experience in the healthcare industry, working in SQL, Python, R, and SAS environments, particularly within cloud platforms (AWS or Azure).
• 3+ years of industry experience in Data Science or Machine Learning, developing ML models with tangible business impacts.
• Experience working with AWS cloud services, including EC2, S3, RDS, and Redshift.

Additional Skills

• Degree in Computer Science, Statistics, Informatics, or another quantitative field.
• Strong communication and leadership skills, with experience leading meetings with diverse stakeholders (clients, product teams, and data teams).
• Experience using Databricks solutions within cloud environments (AWS or Azure).
• Ability to enhance reporting and analysis solutions, leveraging complex data sources from various systems.

What To Expect

• Fully remote opportunity, available to candidates based in the U.S.
• Occasional travel opportunities (up to 10%).
• Flexible schedule required to meet business needs, with a focus on Eastern Time Zone availability.
• Video participation required during interviews and the first week of orientation.

Compensation & Benefits

Salary for this role is based on geographic location, experience, and qualifications. Employees in full-time positions are eligible for a flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. Additionally, leadership and technical development programs are available to help you grow your skills and advance your career.

We are committed to fostering a diverse, equitable, and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, or disability.

Employment Type: Full-Time