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Analytics Engineer

We’re looking for entrepreneurial analytics engineers who are motivated by our mission to simplify healthcare. We’re building a data platform and API layer that powers the workflows of healthcare providers, care navigation platforms, health plans, and emerging digital health companies. You’ll be involved throughout the product lifecycle and collaborate closely with technical and non-technical stakeholders to understand their various data needs, and how to best use Ribbon’s data to solve them.


What we look for at Ribbon:


  • Passion and drive to simplify healthcare by building products that increase access to care and power every healthcare decision to be high-quality, cost-effective, and convenient
  • Commitment to Ribbon Health company values, working on an exceptional team, and building an exceptional company
  • Grit, hustle, desire, and a “get-it-done” attitude; strong comfort with a lean startup environment, where everyone is encouraged to participate in and contribute across all teams
  • Dedication to the creation of a diverse, equitable, and inclusive environment where teammates are celebrated for their unique perspectives and work together to simplify healthcare for all


What we’re looking for in this role:


  • While you love to analyze data, you are excited about automating data workflows so that anyone else can glean critical insights on how to use Ribbon’s core data set
  • You are proficient with SQL and have experience working with data at scale (e.g., EMR, Hadoop, Spark, HBase, Presto, Postgres)
  • You feel comfortable owning ML workflows, such as automating the training of a predictive model, the deployment of that model at scale, etc
  • You have some experience designing, building, and/or managing scalable systems in the cloud (e.g., AWS, Google Cloud, Azure)You have a track record of learning new technologies and languages on the job
  • Although you’ll initially work mostly in Python, you’ll help us continue to evaluate new technologies and find the best tools for the job at hand


Your day-to-day:


  • Work closely with both business stakeholders and the machine learning team at Ribbon to democratize data access 
  • Build and launch new models into production: You will work with the machine learning team to design, build, and launch new products and product features. This includes new APIs to extend the reach of our core technology
  • Build data infrastructure and work closely with data pipelines: You will develop infrastructure to support our ETL, analytics, and modeling workflows. Data engineering is a core part of what we do, so you have to love working closely with data!
  • Build internal tools: You will help our internal teams 10x their efforts by developing tools to streamline their workflows (e.g. sales, deployment, recruiting, and product)
  • Evaluate third-party data sources: You will make decisions about what data is worth buying to augment the Ribbon data set



How we live out our values for our teammates


Our goal is to make this the best career decision any of us have ever made. We stand by our values to make it happen.


Run Toward Hard Problems | We are motivated by the toughest challenges. We seek out hard problems that have the most impact and solve them to help those who need it most. We encourage our teammates to take ownership of outcomes that motivate them. Everyone at Ribbon has a say in our objective and key result (OKR) planning process for their teams and across teams. 


Put Your Team First | We are a family. We are all happier and healthier when we take care of each other and put each other’s needs ahead of our own. We take care of you by offering fully covered insurance premiums on health, vision, and dental, a 401K plan match, and a flexible working policy that includes progressive family leave guidelines, flexible working schedules, and unlimited vacation.


Do What You Say | We are honest with each other. We are accountable to each other. When we commit to accomplishing our goals, we make it happen. Every team member has the opportunity to own high-impact work at Ribbon.


Stay Hungry, Keep Improving | We are humble. We will make mistakes, learn from those mistakes, and be better because of those mistakes. Here, feedback is a gift and mistakes are learning opportunities. We have a thoughtful culture that focuses on giving and receiving regular positive and constructive feedback to help us support each other and make each other better. Also, speaking of “hungry” we offer plenty of snacks, food, and coffee.


Practice Habits of Excellence | We measure our success by the process it took to get there. We will always do our very best and we are proud of the outcome because of it. At Ribbon, we focus on how we get things done by documenting and sharing our learnings, We are building the systems we need to scale our company and support our work for the long-term. 


Build With Empathy | We are building the best healthcare experience for our users. When faced with a difficult decision, we do what’s best for people’s lives. This includes our team. Every Ribbon teammate shares working and lifestyle norms, and we hold each other accountable to respecting these norms so each person can balance work-life integration that works for them.


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Ribbon Health is proud to be an Equal Employment Opportunity employer. We do not discriminate on any basis covered by appropriate law. All employment is decided on the basis of merit, qualifications, performance, and business need.


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CEO of Ribbon Health
Ribbon Health CEO photo
Nate Maslak
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Ribbon Health is a leading health care data platform that provides the critical infrastructure that health insurers, medical providers, and digital health solutions need to enable accurate provider directories and reliable referral management.

10 jobs
BADGES
Badge Diversity ChampionBadge Flexible CultureBadge Office VibesBadge Work&Life Balance
CULTURE VALUES
Take Risks
Inclusive & Diverse
Feedback Forward
Diversity of Opinions
Mission Driven
Passion for Exploration
Empathetic
Growth & Learning
FUNDING
DEPARTMENTS
TEAM SIZE
DATE POSTED
August 13, 2021

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