Advanced SQL and database design

Python, R, or Scala for data analysis and modeling

Machine learning frameworks (TensorFlow, scikit-learn, PyTorch)

Big Data technologies (Spark, Hadoop, Hive)

Cloud platforms (AWS, Azure, GCP)

Data visualization tools (Tableau, Power BI, Looker)

ETL/ELT tools and data pipeline development

Statistical analysis and experimental design

Data warehousing and data lake architecture

API development and integration

Version control and CI/CD practices

Strategic leadership and vision setting

Thought leadership and innovation driving

Team mentoring and talent development

Client relationship management and stakeholder engagement

Problem-solving with creative and analytical approaches

Communication and presentation skills

Change management and organizational influence

Commercial mindset and business acumen

Integrity and ethical decision-making

Collaboration and cross-functional teamwork

Emotional intelligence and inclusive leadership