Data Analyst, District Success

Posted 11 days agoViewed

💎 Seniority level: Junior, 2+ years

💸 Salary: 107712.0 - 134640.0 USD per year

🔍 Industry: Edtech

🏢 Company: Khan Academy👥 101-250💰 $10,000 Series A over 3 years agoInternet Education E-Learning Apps

🗣️ Languages: English

⏳ Experience: 2+ years

Requirements:

2+ years of experience as a Business Intelligence Analyst, preferably in an edtech or B2B environment.

Proficiency in SQL and experience working with large datasets.

Expertise with using and creating data models for business intelligence tools (e.g., Looker).

Familiarity with data management tools and practices (e.g., ETL processes, data validation).

Strong analytical mindset with the ability to derive insights from data.

Exceptional communication skills, capable of translating technical data into actionable insights.

Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.

Attention to detail and a commitment to data accuracy and integrity.

Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere."

Responsibilities:

Design, build, and maintain accurate dashboards and reports to monitor key metrics in our BI tool, Looker.

Provide actionable insights and recommendations to drive performance improvements.

Partner with stakeholders to deeply understand the qualitative aspects of the data, measure KPIs and ensure alignment on goals.

Work with our district stakeholders (internal and external) to understand unique data needs and deliver tailored reports that are built on our existing reporting

Build ad hoc queries and custom reporting to address specific questions and challenges for the internal District team

Translate complex data sets into clear, digestible presentations for non-technical audiences

Ensure data accuracy, completeness, and security through rigorous processes and controls.

Collaborate with relevant operations & engineering teams to improve data reliability and accuracy

Adhere to data governance policies to enhance data quality and consistency

Apply

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