Data Analyst

We are looking for a data analyst to lead Glooko’s business intelligence activities. This includes:

• tracking corporate goals and KPIs, 
• preparing customer billing reports and dashboards,
• conducting analyses to help us better understand our users, clinics, and devices, 
• identifying and interpreting user patterns/trends/anomalies, and 
• communicating analysis results. 

This is an individual contributor leadership role. You will spend:

• 50% of your time coding, analyzing data, and creating reports/dashboards, and 
• 50% of your time communicating with internal and external stakeholders. 

 

Areas of Responsibility: 

• Analyzing complex business problems using data from internal and external sources. 
• Processing and exploring data, discovering patterns/trends, and identifying anomalies.
• Performing statistical analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.
• Interpreting trends and patterns in datasets to guide data-driven decisions. 
• Using data visualization and BI tools to generate dashboards, reports, and presentations to aid in data storytelling.
• Developing, monitoring, and maintaining growth and engagement metrics.
• Gathering requirements, standardizing/automating reports, and providing insights.
• Producing datasets, reports, and dashboards. 
• Working with the legal team to ensure compliance with data-sharing agreements. 
• Collaborating with internal and external stakeholders to understand data and analysis needs and develop technical requirements. 
• Supporting, managing, and scaling internal ad hoc analysis requests. This includes external and internal Support Sales, Account Management, & Customer Success teams.
• Working closely with teams across the organization (Product Management, Marketing, Customer Success) to organize, prioritize, and execute on a roadmap designed to provide quick and scalable analytical support.

 

Contributing to Glooko’s Data Science Team: 

• Generating a list of users that meet certain usage criteria for use in beta testing.
• Submitting version-controlled code with test coverage. 
• Completing code reviews.
• Researching methodology, tools, and frameworks for data analytics. 
• Engaging in technical discussions, participating in technical designs, and presenting technical ideas. 
• Making informed technology choices after due diligence and impact assessment.

 

Characteristics of the person we are looking for:

• You are excited to work on a team that cares deeply about helping those living with chronic conditions.
• You are a data-nerd. You love data and can tell a story with data and visualization in a calm, clear, and concise manner.
• You are meticulous in everything you do. 
• You like writing code and automating processes.
• You are continuously looking for opportunities to learn, build skills, and share what you learn.
• You have a bias for action. Will thrive in a fast-paced, changing environment with limited structure that requires flexibility, resourcefulness, being efficient, and communicating effectively in a remote environment.
• You agree with our departmental values.

 

Qualifications: 

• Experience/expertise in the following:
• SQL, 
• Python, 
• BI dashboards, 
• Version control tools, 
• Bonus: Experience with Metabase
• Bonus: Automated testing frameworks (e.g., Pytest, Unittest, or Nose), 
• Bonus: Coding in an IDE (e.g., Pycharm, Visual Studio),
• Bonus: Agile software development experience.
• A degree in a quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Engineering, Quantitative Social Science, or Data Science. See experience requirements for each of the different Levels below.
• Strong project management and organizational abilities. Ability to scope, initiate, and drive projects to completion with minimal guidance.
• Strong interpersonal and communication skills across all levels of the organization. You can explain technical issues to both technical and non-technical business partners.
• Commitment to individual and team success. 
• Strong presentation and writing skills with a demonstrated ability to communicate well with others at varying professional levels, including medical professionals, researchers, and population health decision-makers.

 

About Glooko:<