Director, CenterWell Marketing Data Science & Analytics

New

JobgetherHealthcare analytics

Based in United StatesFull-TimeDirector

SalaryCompetitive annual base salary of $189,400–$260,500; eligibility for a bonus incentive plan based on company and/or individual performance.

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Job Details

Experience: At least 6 years of relevant professional experience; at least 5 years of leadership experience
Required Skills: SQLData MiningQlikViewData management

Master’s degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, or a related field.
At least 6 years of relevant professional experience.
At least 5 years of leadership experience, including guiding individual contributors and leading complex analytical initiatives.
Demonstrated ability to use large structured and unstructured data sets to generate tactical and strategic business insights.
Experience developing, validating, and applying statistical forecasting models and analytical tools.
Ability to interpret complex analytical results and communicate insights to analytical and non-analytical audiences, including executives.
Strong written and verbal communication skills and ability to translate technical concepts into business recommendations.
Strong business judgment, strategic thinking, and problem-solving capabilities.
Healthcare or managed care experience is preferred.
A PhD in a quantitative or related discipline is preferred.
Experience with SAS, QlikView, SQL, PL/SQL, MATLAB, or comparable statistical and analytics technologies is preferred.
Experience with data management, data mining, data manipulation, and advanced analytics is preferred.

Lead data science and analytics initiatives supporting strategic and tactical business objectives.
Transform structured and unstructured data into insights, analytical solutions, and business recommendations.
Develop and organize data sets for analysis, reporting, forecasting, and strategic decisions.
Create reports, projections, statistical models, analytical tools, and executive presentations.
Develop and validate statistical forecasting models and analytical methodologies.
Translate analytical findings into actionable recommendations for technical teams, business partners, and executives.
Set functional priorities and contribute to long-term analytics direction.
Lead implementation of programs, analytical capabilities, and large-scale initiatives.
Manage, mentor, and develop data science and analytics professionals.
Partner with cross-functional stakeholders to identify opportunities and improve organizational performance.

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