Description

Product / Data Environment

• Building a voice assistance platform where most data comes from:
  • Call transcripts
  • Call metadata
  • Large-scale conversational datasets
• Working with both:
  • Text data
  • Non-text data
• Data volume is significant (gigabytes of data).
• Experience working with LLMs or large datasets is highly valuable.

What They Need This Person to Own

• Take ownership of analytics needs across the product.
• Help the team understand:
  • What data is meaningful vs. noise
  • Trends and patterns
  • Product performance metrics
  • Areas for improvement
• Support product rollout by providing insights and analysis.
• Work through ambiguity — data may not always be clean, complete, or structured.
• Identify what information is missing and determine how to address gaps.

First 90 Days

• Become the analytics owner for the product.
• Partner closely with Product and another Data Analyst already supporting the team.
• Drive data-driven decision-making as the product moves toward launch milestones.
• Help measure product success and readiness.

Key Responsibilities

• Analyze large volumes of call and conversational data.
• Develop KPIs and measurement frameworks, including:
  • Did the conversion happen?
  • Was the call successful?
  • Did the interaction quality meet expectations?
  • How do we measure customer/user experience?
• Apply statistical analysis to understand performance and identify opportunities.

Ideal Background

• Strong Data Analyst or Senior Data Analyst experience.
• Heavy emphasis on:
  • Statistics
  • Data analysis
  • Large datasets
  • Problem-solving in ambiguous environments
  • Business decision-making
• Voice AI experience is a plus but not required.
• Candidates with experience analyzing large-scale customer interactions, behavioral data, or complex datasets could be a fit.

Value Proposition

• Opportunity to work on cutting-edge Voice AI technology.
• This is a bleeding-edge product area with relatively few companies building advanced voice solutions.
• The company already has a functioning voice product with thousands of calls occurring today.
• The team is adding increasingly complex features and needs someone who can uncover insights through data.
• Opportunity to work alongside professionals with strong AI and voice technology backgrounds.
• Potential opportunity for conversion.

Required:

• Python
• SQL

Preferred:

• Tableau or similar visualization tools
• Experience with LLM data or AI-related analytics
• Experience working with large datasets

Key Skills

Education

Bachelor's degree