About the Role 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 This role might not be for you if: You’re looking for a role with very deep specialization (you might want to consider our mid-level Data Engineer role instead)Qualifications & Skills Must-have: 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, SQLFamiliarity 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/MLExperience with non-relational databases, data cleaning, transformation, processing, & storage (ETL/ELT), data modeling & data architecture
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