Data Innovation Analyst-Intermediate

Independent Health•Buffalo, NY

1d•$70,000 - $85,000•Hybrid

About The Position

The Data Innovation Analyst-Intermediate will be at the forefront of transforming data into actionable insights for Independent Health. The analyst will develop and maintain innovative data-driven solutions to enhance quality of care, address health disparities, reduce costs, optimize clinical operations, improve coding accuracy, and refine member segmentation. The Analyst will work closely with cross-functional teams. They will drive the adoption of new technologies and uncover innovative ways to leverage data for organizational success. The analyst will possess a strong foundation in data analysis, a keen interest in healthcare, and a desire to explore the potential of emerging technologies like AI and machine learning.

Requirements

Bachelor’s degree in a quantitative/research discipline required. Master’s degree preferred. An additional four (4) years of experience will be considered in lieu of degree.
Three (3) years of analytics experience required.
Proficient in SQL and Python required.
Knowledge of descriptive statistical techniques.
Ability to translate customer requirements into reports/analyses and frame questions that create value for the business partners.
Ability to present and communicate outputs and statistical analysis that meets the needs of and is easily understood by the business partners.
Ability to work with minimal supervision.
Excellent problem-solving, interpersonal, analytical, and critical thinking skills.
Ability to innovate and enhance existing solutions.
Proven examples of displaying the IH values: Passionate, Caring, Respectful, Trustworthy, Collaborative and Accountable.

Nice To Haves

Experience in a managed health care environment preferred.
Knowledge of Independent Health EDW, Health Rules, Beacon, and Power data structures preferred.
Fundamental knowledge of the following areas is preferred: data mining concepts; AI and machine learning frameworks (such as TensorFlow, PyTorch or Keras); machine learning algorithms, neural networks, and deep learning techniques; LLM and NLP concepts.
Knowledge of industry analytical concepts, courses or certification preferred.
Knowledge of healthcare concepts and healthcare data, for example CPT, HCPCS, DRG, ICD-10/ICD-9 Code, etc.
Experience integrating data into reports with at least one of the less-common data sources, unstructured or cloud-based data, which are inclusive of but not limited to ADT data, SNOWMED data, HL7 resources, LOINC coded base data, immunization data, JSON files, etc.
Knowledge of reporting tools, for example Excel, Milliman – MedInsight, Business Objects, Qlik, etc.

Responsibilities

Develop and implement data-driven solutions to address key business challenges. This will include creating and maintaining reports, dashboards, and analytical models that provide actionable insights to improve operational efficiency, enhance decision-making, and achieve strategic objectives.
Identify opportunities to streamline data processes and automate tasks to increase efficiency and productivity.
Develop data processes, reports, dashboards, charts, visualization, or analyses to streamline business process.
Present output in user friendly manner.
Provide summary of results and work independently and with others to develop recommendations when applicable.
Deliver work according to department SOP.
Bring new ideas and enhancements to existing projects and reports.
Review and validate data and findings prior to releasing report to Q/A analyst and customer to ensure accuracy.
Identify and implement ways to improve/streamline existing processes using new technologies.
Understand and utilize all primary and supplemental data sources within Independent Health.
Work with other Informatics teams to establish data lineages and relationships as they pertain to assigned reports.
Stay current with data technologies and industry trends by continuously learning about new data tools and techniques to enhance analytical capabilities to support department goals or corporate strategic goals.