Data Solutions Analyst

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.

Location

Fully remote | 9 AM - 5 PM EST

Role Overview

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.

Key Responsibilities

Customer Onboarding & Implementation

• 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

Data Modeling & Documentation

• Write and maintain clean SQL models within the platform’s data layer (similar to dbt)

• Maintain standardized documentation for data models and reporting structures

Dashboarding & Reporting

• Build dashboards and reports that customers actively use

• Ensure reporting accuracy and clarity to support decision-making

Customer Support & Troubleshooting

• 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

Product Feedback & Collaboration

• Surface recurring issues, limitations, and opportunities to the product and engineering teams

• Contribute insights that shape roadmap priorities and future platform capabilities

Qualifications

Experience

• 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)

Skills

• 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

Opportunity

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.

Application Process:

To be considered for this role these steps need to be followed:

• Fill in the application form

• Record a video showcasing your skill sets