Open Position: Data Analyst – Hartford, CT


Position Title: Data Analyst

Position Type: Permanent

Department: Analytics / Marketing

Experience: 0-2 years

Location: Hartford, CT United States

Qualification: Bachelors / Masters degree in Statistics, Math, Economics or other mathematical sciences or MBA

Job Description: As a Statistician you will provide statistical and predictive modeling, data and statistical analyses, and related statistical reporting to various business areas in support of short and long-term decision making for a large health services company.

Key Responsibilities:

  • Duties shall include project definition, data extraction and gathering, writing and editing reports, creating graphs, charts and tables, preparing summary data for presentations, and presenting findings to management.
  • Develop solutions using statistical procedure which aims at identifying key drivers of growth and profitability of a global insurance portfolio
  • Should be a good team player and work as a part of team
  • Manages projects, timelines, and deliverables according to the specified project management methodology
  • Update and maintain a centralized repository of standardized project documentation
  • Ensure project plans are updated and communicated as appropriate
  • Ensure status reports are maintained and distributed as defined by the project plan
  • Update documentation necessary to manage deliverables and timelines
  • Self Motivated and result oriented individuals, effective team players with eagerness to accept increased responsibility. Outgoing and assertive personality
  • Understanding of current and future organizational requirements

Technical /Personal Competencies Required:   

  • Good communication skills
  • Strong technical skills and problem solving ability. Proficient in SAS, SAS Enterprise Miner and other statistical software packages is desirable
  • Excellent analytic capability with advanced statistics application knowledge (multivariate and discriminant analysis, CHAID, genetic algorithms, multiple and logistic regression) along with a familiarity with optimization techniques including linear and nonlinear programming.

Contact Information: