Data Analyst

🕒 May 26

🏈 North America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Logo of Andela

Andela

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

📚 Education

💰 $200M Series E - Andela on 2021-09

Artificial Intelligence • B2B • Education

Andela is a company that provides the human compute layer for enterprise AI: training models with human-in-the-loop expertise, deploying AI-native engineers and managed engineering teams, and upskilling workforces to build and operate production AI systems. It offers a platform to hire and manage AI engineers, Training-as-a-Service (TaaS) and continuous learning programs, and delivers AI systems development, model alignment, and MLOps capabilities for large organizations.

📋 Description

• Embed yourself in assigned business function to deeply understand their priorities, challenges, and opportunities • Proactively identify analytical opportunities before stakeholders ask—hunt for insights that drive action • Design and lead experiments, A/B tests, and pilots with clear success metrics and measurement frameworks • Deliver insights with clear recommendations and next steps, not just data summaries • Build dashboards, reports, and analytical frameworks that enable ongoing business monitoring • Conduct deep-dive analyses on business performance, customer behavior, and operational efficiency • Develop forecasting and predictive models to support strategic planning and resource allocation • Synthesize complex data into compelling narratives that drive stakeholder action • Train business partners on self-service analytics tools and metrics definitions • Create documentation and resources that enable stakeholders to answer basic questions independently • Serve as the data expert for your business area, ensuring consistent interpretation of metric

🎯 Requirements

• 4-7 years in business intelligence, data analytics, or related analytical role • Advanced SQL skills with ability to structure complex analyses independently • Strong proficiency with BI tools (Looker, Tableau, Power BI, or similar) • Preferred experience with the Looker semantic layer (LookerML) • Proficiency in R or Python for automated data processing, statistical modeling, and advanced visualization • Deep understanding of statistical concepts and experimental design • Demonstrated ability to work cross-functionally and influence without authority • Exceptional communication skills—ability to tell compelling stories with data • Bachelor's degree in quantitative field; advanced degree preferred

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities

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