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Senior Data Analyst

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Full Remote
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Offer summary

Qualifications:

4-7 years of experience in data analysis, preferably in early-stage or scaling-stage startups., Strong analytical mindset with exceptional problem-solving abilities and technical foundation in data infrastructure., Proficiency in data visualization tools like Tableau, Looker, or Power BI, and advanced SQL skills for complex queries., Detail-oriented with excellent communication skills to convey technical concepts to non-technical stakeholders..

Key responsabilities:

  • Design and implement data warehouse architecture and scale up data pipelines from various sources.
  • Create and maintain dashboards for key business metrics and develop automated reporting systems for regular reviews.
  • Partner with different departments to understand their data needs and conduct deep-dive analyses for growth opportunities.
  • Train team members on data tools and create self-service analytics capabilities to democratize data access.

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Smith.ai Information Technology & Services Scaleup https://smith.ai/
51 - 200 Employees
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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 Responsibilities
Evolve 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

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Prioritization
  • Communication

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