Statistical Analyst, CHOICE

Statistical Analyst, CHOICE

About CHOICE:

Created in 1998, VNSNY CHOICE is the managed care affiliate of the VNSNY and shares its mission of compassion and care for the poor, the chronically ill and elderly. Our guiding principle is to help the most vulnerable among us live safely and independently for as long as possible in their own homes and communities. VNSNY CHOICE has 700 employees, including 227 care management staff. On any given day, VNSNY CHOICE coordinates care for more than 34,000 members through its array of Medicare and Medicaid health plans, including Medicaid Long Term Care, Medicare Advantage, and a HIV/Special Needs Plan.

About Our Team:

The Business Intelligence and Analytics Team provides advanced analytical support across all VNSNY CHOICE health plans. We leverage big data in a fast-paced environment to support strategic decisions for the company. Meaningful, appropriate use of data is central to the success of our organization. We are looking for an ambitious Statistical Analyst to join our expanding team.

You Are:
Looking for an opportunity to leverage your training in statistics and work alongside clinical, operational, and business stakeholders by developing and testing hypotheses to solve a wide variety of business challenges. You are savvy in applying statistical modeling, data science, and experimental designs to complex problems and seek to engage in new challenges. You are an intellectually curious, logical thinker and can learn new programming languages, computing applications and data sources with limited support.

Requirements:

• Bachelor’s degree in bio/statistics, epidemiology, mathematics, computer science, social sciences or a related field required. Master’s degree with concentration in statistics preferred. Progressive experience performing increasingly complex data analysis and interpretation, preferably in a health care setting – specifically post-acute, long-term, or managed care
• Programming experience with at least one statistical package (e.g. R, SAS, Stata) with demonstrated ability to learn and wield multiple tools
• Strong analytical and quantitative statistical skills
• Effective in communicating results of complex data analysis to a non-technical audience; excellent oral, written and interpersonal communication skills
• Ability to translate business needs into relevant data-driven deliverables and analyses
• Experience executing analyses in a timely, rigorous and reproducible manner
• Ability to manage multiple projects independently, sometimes on tight deadlines
• It pains you to include Microsoft Office as a skill on your resume (it is 2018, after all)

Nice to Have or Willing to Learn:

• Experience with relational databases and programming experience in SQL or PLSQL
• Understanding of supervised and unsupervised data mining and predictive modeling techniques
• Experience with claims data
• Experience in quasi-experimental methods such as propensity score matching or instrumental variable analysis
• Experience with natural language processing
• Programming experience (e.g. Java, Python, C++)