Responsibilities
- Engage business teams to understand business challenges, define analytics questions and apply analysis techniques to generate data deliverables including interactive reports and dashboards.
- Work closely with Data Engineering and Analytics Teams to deliver on key analytics projects. This will include data provisioning, exploratory data analysis, data visualization and in some instances, machine learning and statistical modeling.
- Champion the analytics process from business understanding, data understanding, data preparation, data modeling, evaluation, and deployment;
lead by example and by training business stakeholders with varying technical and non-technical backgrounds.
- Design, enable and maintain trustee reporting, executive scorecards and cross-functional tactical reports on the Plans enterprise analytics platform.
- Drive the adoption self-service analytics through the analytics platform for operational reporting across multiple departments including Finance Accounting, Participant Services, Eligibility, Claims and Pension departments.
- Explore external industry data to source pertinent data required for modeling purposes.
- Continuously advance your skills in par with the industry and those of others on the team through discussions, work assignments, training and mentoring.
Qualifications :
- Minimum 10-15 years in a quantitative data analytics role with emphasis on data preparation, analysis and presentation
- Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Economics, Advanced Analytics or other related fields as well as equivalent work experience.
- Experience working with databases, SQL and at least one programming language such as Python, along with statistical and mathematical algorithms to help build models.
Desired Skills :
- Previous work experience in the Healthcare industry
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