Insights Analyst

Summary

Join Twilio as an Insights Analyst to collaborate with Generative AI tools, partner with business stakeholders, and transform data into actionable narratives. You will bridge strategic insight generation, technical analytics, and AI-augmented discovery, not only answering questions but also formulating better ones. This role is ideal for individuals who excel at the intersection of numbers and business strategy and enjoy translating complex data into clear, compelling narratives. You will work with various teams to frame and explore critical business questions, analyze data to identify patterns and trends, and design scalable insights processes. You will also communicate insights effectively to diverse audiences and leverage AI tools to enhance efficiency and reliability.

Requirements

• 2–5+ years of experience in analytics, BI, or insights roles
• Proficiency in SQL and data exploration tools (e.g., Snowflake, BigQuery)
• Experience with modern BI platforms (e.g., Tableau, Looker, Power BI)
• Comfort using GenAI tools (e.g., ChatGPT, Claude, Copilot) for analytical workflows
• Experience querying structured and unstructured data using tools like Presto, or Snowflake
• Experience with dbt, Python, or R for deeper analysis
• Exposure to AI/ML-driven analytics, natural language querying, or LLM-based insight generation
• Comfort with version control (Git/GitHub) for collaboration with engineers and analysts
• Strong communication and data storytelling skills
• Proven ability to translate technical outputs into business strategy in collaboration with product managers, marketers, and data scientists
• Experience contributing to or reviewing experimentation and A/B test designs
• Ability to influence roadmaps or strategy through data-backed recommendations
• Exposure to data governance, privacy, and compliance frameworks

Responsibilities

• Partner with marketing, product, strategy, and leadership teams to frame and explore critical business questions
• Translate ambiguous problems into structured analytical approaches and insight stories
• Use Generative AI tools to co-create hypotheses, simulate scenarios, and build proactive insight feeds
• Analyze structured and unstructured data to uncover patterns, trends, and anomalies
• Design scalable insights processes, not just one-off analyses
• Visualize data and findings in dashboards, slide decks, and AI-powered narrative tools (e.g., Tableau Pulse, Power BI Copilot)
• Communicate insights clearly to technical and non-technical audiences with precision and empathy
• Leverage LLMs, copilots, and GenAI assistants to accelerate insight generation and automate repeatable analysis
• Curate reusable prompts, validate model outputs, and ensure insight reliability and transparency
• Oversees GenAI prompt libraries and insight quality
• Experiment with natural language querying, auto-charting, and conversational BI tools
• Write efficient SQL for complex joins, aggregations, and data transformations
• Collaborate with data engineering on clean, trusted, well-modeled data sources
• Build and maintain KPIs, dashboards, and automated reports in BI platforms
• Contribute to scalable insight pipelines using tools like dbt, Python, or R (as applicable)

Preferred Qualifications

• Experience with marketing technology stacks (e.g., Marketo, Adobe, etc) and customer data activation tools (e.g., Segment, CDPs, etc)
• Deep understanding of customer lifecycle analytics, such as acquisition funnels, retention metrics, churn modeling, and LTV/CAC analysis
• Understanding of cloud platforms like AWS, GCP, or Azure

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program