Data Analyst  

We’re looking for a flexible data team member who’s interested in a touch of business intelligence, data science, and data engineering.

In this role, you’ll be expected to:

• Provide solutions and strategies to business challenges & questions through the use of data and analytics (reports, dashboards, analytical models & systems).
• Help design, build, test, and document work on scalable data flows/pipelines, data models, and data/API integrations that enable the organization to handle increasing data volume and complexity.
• Build tools to automate data collection, and process both unstructured and structured data for analysis.
• Collaborate with stakeholders including data/analytics, design, product, tech and business teams and assisting them with data-related technical issues

This role will be a great fit if:

• You’re a strong programmer in your early career wanting to work the breadth of the end-to-end data/analytics lifecycle (you might be a fresh grad who’s taken a specialization/online certification/fellowship, or a new software developer/data analyst looking to make a career change)
• You work and learn fast - you focus on solving problems with the team, even if it sometimes means going outside your paper responsibilities
• You’re excited about building the data/analytics foundations in a high-growth startup

• Graduate of Computer Science, Information Systems, Information Technology, or engineering courses; or 1-2 years of experience in related work
• Solid programming fundamentals (Python) and proven ability to collaborate within a team
• Proficiency in relational databases, SQL
• Familiarity with business intelligence/dashboarding tools
• Great attention to detail and problem-solving skills, excellent oral and written communication skills to collaborate with and communicate plans to internal stakeholders

Nice-to-have:

• Experience with cloud services (preferably GCP)
• Experience in Python for data science, can transform datasets with a reproducible workflow, strong math and statistics skills, experience with AI/ML
• Experience with non-relational databases, data cleaning, transformation, processing, & storage (ETL/ELT), data modeling & data architecture