Summary:

The Child Mind Institute is actively seeking an individual specializing in healthcare datasets, possessing an understanding of healthcare operations, to become an integral part of our dynamic team. The role will involve structuring and rationalizing data collection for the purpose of creating meaningful insights for the clinical practice. As a healthcare database analyst, you will be responsible for collecting, analyzing and interpreting healthcare data to provide insights and support decision-making processes within the clinical practice. This is crucial to enhance our capacity to meet evolving business requirements.

Reporting to the Chief Information Officer, this is an exempt, full-time, hybrid position located at our NYC headquarters. We offer a competitive salary and benefits.

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

The Child Mind Institute is proud to be named a company! Our competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our .

Child Mind Institute is committed to creating an inclusive culture where all employees feel welcomed and valued.

Responsibilities:

• Data Collection: Gather and compile healthcare data from various sources, such as electronic health records (EHRs), claims databases, surveys, and other relevant sources.
• Data Analysis: Use statistical methods and data analysis techniques to identify patterns, trends, and correlations within the healthcare data. Apply data mining and predictive modeling techniques to extract meaningful insights.
• Data Interpretation: Analyze and interpret the results of data analysis to provide actionable recommendations to healthcare providers, administrators, and other stakeholders. Present findings in a clear and concise manner, using visualizations (dashboards) and reports.
• Performance Evaluation: Assess the performance of healthcare programs, interventions, and initiatives by analyzing relevant data. Identify areas for improvement and provide recommendations to enhance healthcare outcomes and efficiency.
• Quality Assurance: Ensure the accuracy, integrity, and reliability of healthcare data by implementing data quality control measures. Identify and resolve data inconsistencies or errors.
• Compliance and Privacy: Adhere to legal and ethical standards related to healthcare data privacy and security. Ensure compliance with relevant regulations, such as the Health Insurance Portability and Accountability Act (HIPAA).
• Collaboration: Collaborate with healthcare professionals, researchers, and other stakeholders to understand their data needs, gather business requirements, and provide analytical support. Work as part of a multidisciplinary team to address complex healthcare challenges.
• Continuous Learning: Stay abreast of advancements in healthcare analytics, data science, and healthcare policies.
• Communication: Effectively communicate complex data analysis concepts and findings to both technical and non-technical audiences. Collaborate with stakeholders to ensure data-driven decision-making.
• Designs, builds and maintains interoperability/interface connections between an EMR system and other applications (including NextGen, SAGE Intacct, Workforce Adaptive, Salesforce, Monday.com, Microsoft Systems, etc.).
• Other duties as assigned.

Qualifications:

• 3 years of electronic health record (NextGen preferred) and database experience (Microsoft SQL preferred).
• Knowledge of clinical workflows, including proficiency in CPT and ICD-10 coding systems.
• Experience with HL7 v2 or FHIR standards.
• Experience with interoperability middleware software (e.g. Mulesoft) and experience with SMART API implementation.
• Strong analytical and problem-solving abilities for process optimization.
• Exceptional clinical business requirements gathering and analysis skills.
• Advanced expertise in statistics, analytic techniques, and predictive modeling.
• Understanding of organizational data flow and its impact on decision-making.
• Familiarity with data governance and stewardship best practices.
• Project Management and Change Management experience.
• Excellent written and verbal communication skills.
• Education or experience with SQL, MS Power Automate, Crystal Reports and Data Visualization.
• Experience with Business Intelligence tools and analytic platforms preferred.
• Bachelor's degree required, CIS, MIS, IS, CS, or relevant field.

Special Considerations:

Please upload your CV during the application process.

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

The Child Mind Institute is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.