Fixed-Term Six-Month Data Internship

Requirements

Who You Are

We seek individuals passionate about creating innovative data-driven solutions. Black Swan’s unique DNA drives us to find fresh perspectives on complex client challenges. Working in a dynamic, fast-paced environment, you should be eager to build lasting partnerships and contribute to a growing team. While perfection is not required, your enthusiasm and dedication are essential.

Personal Attributes

  • A passion for innovation, data, technology, and social media.
  • Strong organizational and problem-solving skills, able to prioritize and process large data volumes.
  • Good listening and communication skills, both written and verbal.
  • Professional attitude: punctual, honest, reliable, and respectful.
  • Ability to work independently and in team settings.
  • Proactive in escalating issues and seeking senior support when needed.
  • Curious mindset with the ability to ask insightful questions.

Desired Skills and Experience

  • No prior work experience required; internships and recent graduates welcome.
  • Aptitude for defining research questions, collecting and analyzing data, and presenting findings effectively.
  • Familiarity with basic quantitative techniques and digital data sources such as social media.
  • Strong critical thinking and problem-solving abilities.
  • Enthusiasm for learning emerging research methods and new technologies.
  • Strong organizational skills and adaptability to a dynamic environment.

Qualifications

  • Bachelor’s degree in Marketing, Market Research, Information Management, Economics, Statistics, or a related field.
  • Interest in data analysis and commitment to developing expertise.
  • Excellent communication skills for collaborating with technical and non-technical teams.
  • Proficiency with data manipulation tools such as Excel or equivalents.

Bonus Points

  • Experience or coursework related to data analysis or statistics.
  • Exposure to SQL, databases, scripting, or programming languages such as Python or R.
  • Multilingual abilities.
  • Advanced Excel skills.
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