Report: This position reports to Director of Data and ML Solutions
Position: We are looking for a data analyst to support the Glooko Data Products team. This includes:
- conducting analyses to help us better understand our users, clinics, and devices,
- identifying and interpreting user patterns/trends/anomalies, and
- communicating analysis results,
- develop and ensure successful delivery of data shares with partners,
- preparing customer billing reports and dashboards.
This is an individual contributor role. You will spend:
- 75% of your time coding, analyzing data, and creating reports/dashboards, and
- 25% 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.
- Developing new data exports according to identified business needs and requirements.
- Supporting, managing, and scaling internal ad hoc analysis requests. This includes external and internal Support Sales, Account Management, & Customer Success teams.
Contributing to Glooko’s Data Science Team:
- 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 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.
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: Understanding of machine learning algorithms and principles
- 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 time management skills and ability to thrive in a fast-paced environment with competing and shifting priorities.
- 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.