Job Information
Healthfirst Sr. Workforce Effectiveness Data Analyst in Remote, Indiana
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 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 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; present results or deliverables to the business and provide support with confidence.
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 by investigating problems, detecting patterns and recommending solutions
Communicate new knowledge and insights gained from analysis of big data
Transfer knowledge and concepts to the team that is implementing the actual system
Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Inform, influence, support, and execute business and product decisions.
Additional duties as assigned
Minimum Qualifications:
Bachelors 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
Preferred Qualifications:
Masters degree from an accredited institution
Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration
Experience with analytical programming techniques such as Python and R
Experience with AWS and analytical solutions available on the platform (Redshift, Glue, Sage Maker, etc.)
Experience with data visualization tools such as Tableau
Familiarity with programming in JavaScript, D3.js
Familiarity with big data technologies, such as Hadoop, MapReduce, and AWS Kinesis
Experience developing innovative solutions to complex problems
Advanced problem solving skills and the ability to make critical, independent decisions within area of responsibility
Excellent communication skills
Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline
Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form
Experience prioritizing a heavy workload in a fast paced environment
Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods and optimization
Knowledge of health care industry, products, systems, business strategies and products
Compliance & Regulatory Responsibilities: NA
License/Certification: NA
WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.