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Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Our company of 2000+ employees has presence across 12 global locations, including the United States, UK, Australia, Switzerland, Singapore, Canada, China, Germany, Sweden, the Netherlands, Ukraine and India.
14 лютого 2022

Senior Data Analyst (вакансія неактивна)

Київ, віддалено

Необхідні навички

• 3+ years of experience in data analytics field
• Python — good knowledge
• Communication and Problem-solving
• Upper-Intermediate English is a must

Буде плюсом

• SQL — good to have
• Hive/Hadoop/PySpark/Azure — good to have
• Tableau/PBI — good to have

Пропонуємо

• Best team: a multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
• Challenge: plenty of complex and exciting projects from international clients;
• Income: competitive salary and end-year bonuses;
• Vacation: paid vacation of 27 business days per year;
• No micromanagement: we encourage self-organization and trust
• Learning and professional development: access to company learning platforms with free courses (ie Coursera corporate), external certifications and learning programs, English classes with the opportunity to upgrade your grammar and speaking skills;
• Being healthy: free health insurance;
• Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.

Обов’язки

• You will be building solutions that require analyzing client business problems and developing models to help solve them.
• Conduct research and prototype innovations; gather data and requirements; scope solution and architecture.
• Execute quantitative data analyses that translates into actionable insights for the broader team.
• Collaborate and coordinate with different functional teams to implement models and monitor outcomes.

Про проєкт

The selection process:
1) Recruiter pre-screen
2) Tech & HR interview

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