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Databricks Business Trainer

Tudip Technologies · Remote

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Collected role description

Role overview

Databricks Business Trainer at Tudip Technologies

Conduct training sessions for business users, clients, and stakeholders.

We are looking for a Databricks Business Trainer with strong business understanding and communication skills to train non-technical stakeholders on leveraging Databricks for business insights and decision-making.

Responsibilities

  • Explain business use cases of Databricks across industries (finance, retail, healthcare, etc.).
  • Translate technical data concepts into simple business language.
  • Develop training materials including presentations, case studies, and documentation.
  • Demonstrate how data-driven insights can improve business performance and decision-making.
  • Support adoption of Databricks within client organization.
  • Collaborate with technical teams to align training with real-world implementations.
  • Deliver workshops, demos, and knowledge-sharing sessions.

Required qualifications

  • Bachelor’s degree in Business, Finance, IT, or related field. 5+ years of experience in Business Analysis / Data Analysis / Pre-sales / Corporate Training, on Databricks.
  • Strong communication and presentation skills.
  • Good understanding of business processes for Databricks and data-driven decision-making.
  • Ability to simplify complex technical Databricks concepts for non-technical audiences.
  • Strong knowledge of data analytics concepts and tools.
  • Experience in stakeholder or client interaction.
  • Must Have Knowledge of BI tools like Power BI or Tableau.
  • Good understanding of SQL or data querying.
  • Experience in corporate training or L&D.
  • Exposure to cloud platforms (AWS, Azure, GCP).
  • Key Competencies Excellent storytelling and presentation skills.
  • Strong business acumen.
  • Problem-solving mindset.
  • Ability to engage and influence stakeholders.

Employment details

  • Location: India

Additional role details

  • Databricks Business Trainer
  • The ideal candidate will bridge the gap between data technology and business users by simplifying complex concepts into easy-to-understand business use cases

Collected experience requirement

5+ years