Senior Data Analyst
New York - Remote, United States
Applications have closed
Progyny, Inc.
Learn how Progyny's benefits for life's milestones provide for superior clinical outcomes, savings & member experiences.Thank you for considering Progyny!
Data is the lifeblood of healthcare, and Progyny as a company depends on the accurate, timely, and secure management of data to achieve our company mission at the highest level. This role will be directly responsible for supporting Progyny’s efforts to provide an enhanced member experience and better insights to Progyny stakeholders. This role will also be expected to help challenge and mature analytical approaches at Progyny; as such, a successful candidate should be motivated by a desire to help shape their environment, not simply follow the established status quo.
Success in this role is measured by the following:
Development of analytical reports and insights.
Design of A/B experiments and subsequent experimental result communication.
Ability to leverage your knowledge of various business intelligence and statistical approaches to help the team make decisions.
Working “without a net”: navigating past ambiguity through the application of your judgment and experience
Ability to find pragmatic options to tactical vs. strategic implementation dilemmas
What you'll do...
Working with stakeholders to design, implement, and communicate clearly analytical results to technical and non-technical stakeholders.
Generate streamlined re-useable reports for use internally as well as externally.
Conduct exploratory analyses that identify areas of opportunity and challenge for the Progyny member and employee experience.
Support the development of experiments and subsequent statistical analyses and develop documentation of those results.
About you...
Must have:
Strong communication skills
Experience working with a business intelligence or reporting tool.
Expertise in identifying and conducting statistical analyses. Should understand basic assumptions for a variety of analyses and how those assumptions are checked.
7+ years of consistent, professional SQL development experience
4+ years of Python development experience specifically working with Pandas or Polars
Must have at least 1 of these:
Experience working with graph data models and databases.
Experience working with Machine Learning and AI teams.
Working experience with the FHIR data model.
Please note: Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.
About Progyny:
Progyny (Nasdaq: PGNY) is a global leader in women’s health and family building solutions, trusted by the nation’s leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians.
Our benefits solution empowers patients with concierge support, coaching, education, and digital tools; provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women’s health benefits.
Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com.
Our perks:
Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents’ Employee Affiliation Group
Menopause and midlife care
Health, dental, vision and life insurance options for employees and family
Free in-person, virtual and text-based mental health and wellness support
Paid time off, including vacation, sick leave, personal days and summer flex time
Company equity
Bonus program
401(k) plan with company match
Access to on-demand legal and financial advice
Learning and development programs to help you grow professionally and a mentorship program
Company social events to include annual volunteer day and donation matching
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $165,000 - $175,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity.
Progyny is proud to be an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law.
If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to apply@progyny.com.
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Tags: A/B testing Business Intelligence Machine Learning Pandas Python SQL Statistics
Perks/benefits: 401(k) matching Career development Equity / stock options Fertility benefits Health care Insurance Parental leave Pet friendly Salary bonus Snacks / Drinks Team events Wellness
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