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Nayya

Senior Data Analyst

Nayya, New York, New York, us, 10261


About Nayya

At Nayya, we believe there’s a better way to choose benefits. A more transparent, less confusing way for employees to control their health and financial potential. Powered by billions of data points and machine learning, our benefits experience platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, qualifying life events, and in the moments that matter all year round. This is one of the most stressful and challenging situations consumers face – and we see that as an opportunity to build an innovative response that can help millions of Americans possess the control and understanding they deserve.

Overview

We are looking for a Senior Data Analyst to join our growing data team. A successful candidate in this role will work closely with our product and data engineering teams to help build a best in class data strategy that drives our leading benefits guidance products. Specifically, the candidate will contribute to the build and implementation of data-centric strategies and models, with a heavy emphasis on healthcare claims related analysis, for key commercial partnerships.

Responsibilities

Use data analytics expertise to build models and strategies that generate actionable opportunities aligned to our partners’ business objectivesWork closely with cross-functional teams to identify and prioritize data analytics needs that drive growth and innovation in product developmentAnalyze data to spot trends and provide insights that can be used to better understand, improve, and predict product opportunitiesLeverage data warehouse to perform healthcare claims analytics to identify product opportunities for a specific partnerProvide written reports that summarize the data approach and provide conclusions and actionable recommendationsIdentify opportunities to enhance and further automate current data collection, visualization, and reporting techniques to better manage the businessContribute to an efficient and effective data architecture that enables us to collect, store, analyze, model and report data for their software solutions and digital platformsEnsure strategies built are in compliance with relevant regulations and data protection laws

Requirements

Experienced: 5+ years of relevant experience in data and analyticsAt least 2 years of experience in healthcare claims analysis is requiredAbility to lead the conception and design of analytics use casesAbility to partner with cross-functional teams to deliver innovative data and analytics solutionsMastery in interpreting and presenting statistics, organized and unstructured data analysis, predictive modeling approaches, and data visualizationExpertise in data warehousing, data modeling, and database designKnowledge of Python for data analysis is requiredExperience in R, SQL, and experience with data visualization tools such as Tableau, Looker or Power BIAbility to convert data into usable information and insights that are easy for a non-technical audience to understandStrong verbal and written communication skillsExcellent organization and prioritization skillsCritical thinking skills, plus the intellectual curiosity to question/test assumptionsExcellent communication and collaborative skills - able to influence across multiple areas of the business

The salary range for New York based candidates for this role is $100,000- $130,000. We use a location factor to adjust this range for candidates that are located outside of the geographic region of our New York office. Placement within the salary band is determined based on experience.

Why Join Nayya?

Be an early employee of a quickly growing, VC-backed start-up - grow with us!Have a meaningful impact on a platform that is scaling very rapidlyContribute to a values-based culture with an emphasis on empowerment and autonomyWork in a highly collaborative, cross-functional environmentBenefits include: Competitive pay, employer-paid healthcare, stock options

Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

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