This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
Our client is an early-stage startup building an AI-native, all-in-one data platform (currently in stealth). The platform enables customers to ingest and model their data, create free-form reporting, and ask complex questions without leaving the system. With paying customers already onboard and the product evolving rapidly, the company operates in a fast-moving environment where customer feedback directly shapes the roadmap and future capabilities.
Fully remote | 9 AM - 5 PM EST
The Data Solutions Analyst will ensure successful customer implementations by onboarding new clients, building data models and dashboards, and helping customers extract meaningful value from the platform. This is a technical, hands-on role that is also customer-facing, requiring direct communication via Slack and video calls to troubleshoot issues, clarify requirements, and unblock progress.
The role also serves as a critical feedback loop to product and engineering, surfacing insights from real-world usage to influence feature development and platform improvements.
Onboard new customers by connecting data sources and building initial data models
Stand-up dashboards and reporting frameworks
Ensure customers are successfully using and trusting the platform
Write and maintain clean SQL models within the platform’s data layer (similar to dbt)
Maintain standardized documentation for data models and reporting structures
Build dashboards and reports that customers actively use
Ensure reporting accuracy and clarity to support decision-making
Respond to customer questions via Slack and calls
Troubleshoot issues, investigate discrepancies, and resolve data-related concerns
Clarify metric definitions and gather missing requirements when needed
Surface recurring issues, limitations, and opportunities to the product and engineering teams
Contribute insights that shape roadmap priorities and future platform capabilities
3–6 years of experience in analytics, business intelligence, data roles, or technical customer-facing positions
Experience working in early-stage or fast-evolving product environments (preferred)
Strong SQL proficiency, including the ability to write and debug queries independently
Ability to build data models and dashboards
Comfort working directly with customers in Slack and live calls
Strong organizational skills and persistence in gathering requirements and clarifying vague requests
Analytical thinking and problem-solving mindset
Interest in AI-native products and how AI transforms data interaction
Adaptability and resourcefulness in evolving product environments
This role offers the opportunity to directly shape an AI-native data platform at an early stage. The Forward Deployed Analyst will work closely with customers while influencing product direction, ensuring their feedback translates into shipped features. In a small, fast-moving team, your work will have visible and immediate impact on both customer success and product evolution.
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