Business Analyst with AI literacy

at  EEZE

QUALIFICATIONS

• Bachelor’s or Master’s degree in a related field.
• 5+ years of experience in a data-related role, community management, or program management with a focus on data, AI, or technology.
• Strong project management skills and ability to work cross-functionally with multiple stakeholders.
• Experience planning and executing community events, both online and offline.
• Solid understanding of AI and data trends.
• Data-driven with the ability to analyze and interpret both quantitative and qualitative data.
• Highly organized and detail-oriented, with a strategic mindset.

BONUS SKILLS

• Experience in building and driving AI or data communities.
• Background in data analytics, with knowledge of tools such as Python, R, SQL, and Google Cloud Platform.
  This is an exciting opportunity to drive the data and AI transformation within a global organization. If you are passionate about community-building, data literacy, and fostering a culture of learning, we’d love to hear from you!
  Percentage of remote work allowed: 50%
  Period from: 2024-11-25
  Period to: 2025-12-31
  Location: Stockhol

ROLE OVERVIEW

As a Business Analyst with AI literacy, you’ll play a key role in building and fostering a thriving data and AI community within the organization. You will work cross-functionally to design training and upskilling programs for both technical and non-technical teams. Your focus will be on creating a culture of data literacy and supporting the adoption of data-driven insights across the organization. You’ll be a bridge between technical experts and end users, ensuring that the community grows, learns, and thrives.

KEY RESPONSIBILITIES

You’ll develop training programs for data analysts, ensuring alignment with next-gen platforms. You’ll collaborate with cross-functional teams to create training materials, host forums, and lead workshops to support the company’s data-driven goals.You’ll also build and nurture a strong data community, organizing events like hackathons and webinars to foster collaboration and knowledge sharing. Additionally, you’ll advocate for data literacy across the organization and track KPIs to measure community engagement and training success.