The Senior Strategic Data Analyst is responsible for the promotion and enablement of a data-driven culture within Healthfirst Operations.
Understand the health insurance industry and identify opportunities for the use of technology and analytics to improve efficiency within the department and across the organization.
Play an integral role in pursuing department initiatives by leveraging analytics to provide insights that support key decisions and successful outcomes.
Leverage leading analytical tools to generate insights that facilitate key decisions by department Leadership.
Develop repeatable analytics aimed at department and Executive Leadership that provide insights into the health and performance of the department.
Leverage available data to develop preventative and detective controls to ensure timeliness, accuracy, and completeness of business processes.
Contribute to the design and architecture of data models and dashboards used to retain and present key information to the business.
Identify downstream impacts of changes and enhancements to current analyses, models, and algorithms.
Assist with the development and execution of highly complex algorithms and statistical predictive models from large sets of data.
Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
Inference data to make recommendations and decisions.
Develop repeatable ETL processes from source systems to the analytics sandbox, ensuring integrity, completeness, and accuracy of data is maintained.
Perform statistical analysis to quantify the limitations of models.
Develop and improve upon metrics that evaluate department performance.
Think critically about the business and how the work is performed.
Identify opportunities to improve the status quo, inject data into the decision-making process, and support progress with facts.
Serve as a trusted contact for internal department members or other departments.
Work with the business to define methodologies that directly address their concerns and present results or deliverables to the business.
Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines.
Support and report account receivables sub-ledger aging and collections.
Review, analyze and create detailed documentation reports to support department processes.
Anticipate and solve strategic and high-risk business problems with broad impact on the business area.
Requirements
Bachelor’s degree from an accredited institution or equivalent work experience
Proficiency of scripting and programming skills
Experience using MS Office suite, including Microsoft Access, Excel, and Word
Expertise in utilizing data analysis and query tools such as SQL
Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms
Experience with applied statistics skills, such as distributions, statistical testing, regression, etc.
Ability to successfully run queries from a data warehouse
Expertise innovating and implementing audit techniques
Master’s degree from an accredited institution (Preferred)
Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration (Preferred)
Experience with analytical programming techniques such as Python and R (Preferred)
Experience with AWS and analytical solutions available on the platform (Redshift, Glue, Sage Maker, etc.) (Preferred)
Experience with data visualization tools such as Tableau (Preferred)
Familiarity with programming in JavaScript, D3.js (Preferred)
Familiarity with big data technologies, such as Hadoop, MapReduce, and AWS Kinesis (Preferred)
Experience developing innovative solutions to complex problems (Preferred)
Advanced problem-solving skills and the ability to make critical, independent decisions within area of responsibility (Preferred)
Excellent communication skills (Preferred)
Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline (Preferred)
Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form (Preferred)
Experience prioritizing a heavy workload in a fast paced environment (Preferred)
Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods and optimization (Preferred)
Knowledge of health care industry, products, systems, business strategies and products (Preferred).
Benefits
medical, dental and vision coverage
incentive and recognition programs
life insurance
401k contributions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisSQLETL processesstatistical analysisPythonRJavaScriptD3.jsHadoopmachine learning algorithms
Bachelor's degreeMaster's degreedegree in Mathematicsdegree in Computer Sciencedegree in Data Sciencesdegree in Engineeringdegree in Business Analyticsdegree in Informatics