Data Analyst

Responsibilities:

• Collect and analyze large datasets to identify trends and patterns.
• Use LLMs to identify trends in data and leverage intuition to find opportunities to improve the user experience in data-related features.
• Build POCs to demonstrate the feature opportunities identified during data analysis.
• Create and maintain dashboards and reports to communicate findings.
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
• Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and quality.

Requirements:

• Bachelors degree in Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role.
• Good exposure to prompt engineering and building POCs that are LLM-wrapped.
• Proficiency in data analysis tools and software such as SQL, R, Python, Excel, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience in the voice analytics domain.
• Familiarity with machine learning and predictive modelling techniques.