Smith.ai
Job Description
Job Description About Us Smith.ai builds AI voice agents that redefine how SMBs handle phone calls — allowing businesses to book appointments, take payments, and manage complex call flows without missing a beat. We serve a wide range of businesses, from law firms to home contractors and many other service-based companies, leveraging the latest in LLMs, speech-to-text, and text-to-speech to deliver human-like conversation at scale. With over 3,000 SMBs already trusting Smith.ai (and staying with us thanks to world-class retention), we're driving the next wave of AI innovation where it matters most: real-world customer interactions. About the Role As our Senior Data Analyst, you will be the driving force behind our data infrastructure and insights. You'll partner with engineering to ensure clean, reliable data pipelines, gather requirements from business stakeholders, and make dashboards and reports available in user-friendly formats. Your primary focus will be bringing visibility to our AI Receptionist product funnel, signups, revenue, and churn, as well as financial and customer data across all product lines. This is a high-impact role reporting to our data leadership with the opportunity to build our data foundation from the ground up. Key
ResponsibilitiesEvolve
Data Foundation
Design and implement data warehouse architecture Scale up data pipelines from various sources Create data governance framework and documentation Define data quality standards and monitoring processes Build Out Analytics Infrastructure
Create first versions of critical dashboards Establish tracking for key business metrics Design scalable reporting processes Develop and Automate Reporting
Create and maintain dashboards for key business metrics Build automated reporting systems for regular business reviews Partner with Growth team to implement A/B testing analytics framework Drive Business Intelligence
Partner with different departments to understand their data needs Conduct deep-dive analyses to uncover growth opportunities Provide data-driven recommendations for business decisions Support Cross-Functional Projects
Work with product teams to ensure key events are logged properly Track and report on company KPIs, including partnering with Operations and Finance Automate and ensure data integrity in weekly business review dashboards Data Democratization
Train team members on how to use data tools effectively Create self-service analytics capabilities Develop documentation for common data analyses What We're Looking For
Strong analytical mindset with exceptional problem-solving abilities Data integration expertise – ability to stitch together data from multiple sources to generate insights Technical foundation with experience building data infrastructure from scratch Statistical analysis skills and ability to translate complex findings into actionable insights Experience with data pipelines and ELT processes 4-7 years experience in data analysis at early-stage or scaling-stage startups Prioritization skills to manage competing demands and identify highest-impact metrics Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI, Grafana) Advanced SQL skills with demonstrated experience writing complex queries Detail-oriented with strong quality control practices in data management Excellent communication skills to explain technical concepts to non-technical stakeholders Self-motivated with demonstrated ability to work autonomously on greenfield projects Nice to Have
Experience integrating business tools as data sources (Salesforce, GA, GTM, Mailchimp, Meta Ads) Experience implementing BI tools (e.g., Looker, Tableau) from scratch Experience with tying marketing and user acquisition data to behavioral events Experience working with product-led growth funnels and customer journey analytics Life at Smith.ai Here at Smith.ai, we're laser focused on our mission of helping small and medium businesses succeed. We strive to test, learn and improve, while continuously developing our solutions, our operations, and our team members. We're a fast-growing and dynamic startup, with 400+ team members globally, that values collaboration and innovative thinking. We are an equal opportunity employer and believe diversity makes teams better and that discrimination based on race, gender, or anything else is self-defeating. Location & Work Environment
Location: Fully Remote (US-based, West Coast hours preferred) This is a full-time position with a salary that ranges between $120,000 - $150,000 per year, depending on experience We offer equity and a competitive benefits package that includes medical, dental, vision, life insurance, 401k, and unlimited FTO Powered by JazzHR i6nknBScZ0
Job Description About Us Smith.ai builds AI voice agents that redefine how SMBs handle phone calls — allowing businesses to book appointments, take payments, and manage complex call flows without missing a beat. We serve a wide range of businesses, from law firms to home contractors and many other service-based companies, leveraging the latest in LLMs, speech-to-text, and text-to-speech to deliver human-like conversation at scale. With over 3,000 SMBs already trusting Smith.ai (and staying with us thanks to world-class retention), we're driving the next wave of AI innovation where it matters most: real-world customer interactions. About the Role As our Senior Data Analyst, you will be the driving force behind our data infrastructure and insights. You'll partner with engineering to ensure clean, reliable data pipelines, gather requirements from business stakeholders, and make dashboards and reports available in user-friendly formats. Your primary focus will be bringing visibility to our AI Receptionist product funnel, signups, revenue, and churn, as well as financial and customer data across all product lines. This is a high-impact role reporting to our data leadership with the opportunity to build our data foundation from the ground up. Key
ResponsibilitiesEvolve
Data Foundation
Design and implement data warehouse architecture Scale up data pipelines from various sources Create data governance framework and documentation Define data quality standards and monitoring processes Build Out Analytics Infrastructure
Create first versions of critical dashboards Establish tracking for key business metrics Design scalable reporting processes Develop and Automate Reporting
Create and maintain dashboards for key business metrics Build automated reporting systems for regular business reviews Partner with Growth team to implement A/B testing analytics framework Drive Business Intelligence
Partner with different departments to understand their data needs Conduct deep-dive analyses to uncover growth opportunities Provide data-driven recommendations for business decisions Support Cross-Functional Projects
Work with product teams to ensure key events are logged properly Track and report on company KPIs, including partnering with Operations and Finance Automate and ensure data integrity in weekly business review dashboards Data Democratization
Train team members on how to use data tools effectively Create self-service analytics capabilities Develop documentation for common data analyses What We're Looking For
Strong analytical mindset with exceptional problem-solving abilities Data integration expertise – ability to stitch together data from multiple sources to generate insights Technical foundation with experience building data infrastructure from scratch Statistical analysis skills and ability to translate complex findings into actionable insights Experience with data pipelines and ELT processes 4-7 years experience in data analysis at early-stage or scaling-stage startups Prioritization skills to manage competing demands and identify highest-impact metrics Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI, Grafana) Advanced SQL skills with demonstrated experience writing complex queries Detail-oriented with strong quality control practices in data management Excellent communication skills to explain technical concepts to non-technical stakeholders Self-motivated with demonstrated ability to work autonomously on greenfield projects Nice to Have
Experience integrating business tools as data sources (Salesforce, GA, GTM, Mailchimp, Meta Ads) Experience implementing BI tools (e.g., Looker, Tableau) from scratch Experience with tying marketing and user acquisition data to behavioral events Experience working with product-led growth funnels and customer journey analytics Life at Smith.ai Here at Smith.ai, we're laser focused on our mission of helping small and medium businesses succeed. We strive to test, learn and improve, while continuously developing our solutions, our operations, and our team members. We're a fast-growing and dynamic startup, with 400+ team members globally, that values collaboration and innovative thinking. We are an equal opportunity employer and believe diversity makes teams better and that discrimination based on race, gender, or anything else is self-defeating. Location & Work Environment
Location: Fully Remote (US-based, West Coast hours preferred) This is a full-time position with a salary that ranges between $120,000 - $150,000 per year, depending on experience We offer equity and a competitive benefits package that includes medical, dental, vision, life insurance, 401k, and unlimited FTO Powered by JazzHR i6nknBScZ0