Senior Analytics Specialist

Schedule: Mon-Fri 9am-5pm (this is a hybrid position with in-office work at Cambridge, MA)   Salary: $150-$170k depending on experience   Reporting to the Chief Analytics & Performance Officer, the Senior Analytics Specialist will play a critical role in the effort to increase the number of data-informed decisions and drive a positive cultural shift throughout the organization. The Senior Analytics Specialist will deliver crucial insights and drive business performance while working with stakeholders across all levels, including the Senior Management Team.

• Initiates and manages analytic strategies for the organization, including the identification of ways to maximize the impact of data on client outcomes and business performance
• Delivers insights related to successful performance in financial, strategic, clinical, workforce, and other business-related domains
• Works with IT and the Analytics & Performance Team to ensure the quality of Vinfen's data assets
• Assists in the procurement of relevant data assets to drive benchmarking, performance monitoring, ROI, and value calculation
• Leads the design, development, and delivery of complex business, health care, and human services related analytical projects
• Performs exploratory data analysis to identify insights and trends
• Informs the design and evaluation of key performance indicators across the organization
• Produces analytic and reporting products for a wide audience across the organization
• Promotes data literacy and data-informed decision making through communication of analytic outputs to non-technical stakeholders
• Works collaboratively with analysts, finance, and other adjacent stakeholders to improve the organization's analytic capabilities and maintain a positive, data-informed culture
• Performs other duties as assigned.

Why Vinfen?

We are committed to you! We offer great training, great benefits, career growth and job security!

• Medical, Dental and Vision Insurance for employees working 30 hours or more
• 15 days of Vacation, 12 Paid Holidays, 10 Sick Days and 3 Personal Days per year (for employees scheduled for 20 hours or more)
• Education Assistance and Tuition Remission Programs as well as innovative Student Loan Payment Programs. Employment with Vinfen counts toward your Public Student Loan Forgiveness eligibility
• Professional Development programs including year-round online training courses and opportunities to earn CEUs
• Retirement savings programs, including a fully funded, employer-sponsored retirement plan and an employee-funded 403 (b) plan
• Company paid Life, Accidental Death & Dismemberment and Long-Term Disability Insurance
• Voluntary Term, Whole Life, Accident and Critical Care Insurance
• Flexible Spending Reimbursement Accounts (Health and Dependent care)
• $500 -- $1,000+ Employee Referral Bonuses with no annual cap!
• Other generous benefits including discounted memberships, access to wellness programs and more!

About Us

Established in 1977, Vinfen is a nonprofit, health and human services organization and a leading provider of community-based services to individuals with mental health conditions, intellectual and developmental disabilities, brain injuries, and behavioral health challenges. Our services and advocacy promote the recovery, resiliency, habilitation, and self-determination of the people we serve. Vinfen's 3,200 dedicated employees are experienced, highly-trained professionals who provide a full range of supportive living, health, educational, and clinical services in 318 programs throughout Massachusetts and Connecticut. For more information about Vinfen, please visit www.vinfen.org/careers

Vinfen is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.   keywords: SQL, statistical analysis, Python, R, predictive modeling, non-profit Qualifications A Bachelor's Degree in a related field is required. Master's degree strongly preferred.

• Proficiency in SQL and at least one statistical or scripting language (preferably Python or R)
• Experience in predictive modeling and machine learning preferred
• Experience working with large dataset, including claims data
• Understanding of human services and/or health care, including quality measures
• Experience with Power BI or other data visualization tool preferred
• Excellent communication skills and experience engaging directly with all levels of an organization