High school students spend over 4,000 hours being lectured at, despite overwhelming evidence that students learn best through project-based learning. Polygence helps high schoolers turn their passions into research projects and rediscover the joy of learning through personalized guidance by academic mentors.

Polygence is on an uncompromising mission to reshape education around the globe by making it project-focused. At Polygence, the ultimate surge of adrenaline comes from hearing our thousands of students and mentors rave about their experience and describe its life-changing impact.

At Polygence, data is at the core of everything we do. As a Data Analyst, reporting to the Senior Data Analyst, you will play a crucial role in analyzing, interpreting, and visualizing data to offer invaluable insights and steer critical business decisions. You will work closely with cross-functional teams, grasp their data requirements, maintain data integrity, and produce reports and visualizations to empower them with the ability to make data-informed decisions.

Who You Are

• We are looking for a self-starter who thrives in a fast-paced environment, and get excited by a good challenge
• You are comfortable working with incomplete or ambiguous data and can ask the right questions/take the initiative to get the full picture
• You excel in conveying complex data findings in a clear and understandable manner, making data accessible to technical and non-technical stakeholders

What You’ll Do

• Work with leaders across the business as a trusted partner on strategically important projects to guide decision-making
• Investigate and interpret datasets to uncover business trends, performance, issues, and metrics, and communicate findings effectively to executives
• Manage data requests, converting vague inquiries into actionable analyses, and prioritize competing data needs
• Proactively identify and build business cases for areas of focus and prioritization -- that is, help us ask and answer the right questions with data
• Promote data literacy within the organization, contributing to the establishment of accurate and accessible data resources
• Push the bounds of our data richness and stability by partnering with product and engineering to create well-structured data sources and identify gaps in existing data.

Qualifications

• 1-3 years of relevant experience in data analytics
• Fluent in SQL, advanced proficiency with Excel/Google Sheets, and some experience with a programming language such as Python or R
• Solid understanding of statistical analysis techniques
• Experience with BI tools like Tableau or Looker
• Flexible, excited to learn, and able to wear many hats within our small but mighty data team.

Mission-oriented, with a passion for (required) and experience in (bonus) education