Remote Data Analyst (LatAm) – SQL & Dashboards

GoFasti; United States; Remote; USD 20,000 - 26,000; Full time

Job summary

GoFasti is seeking an English-fluent Data Analyst to work remotely from Latin America. You will write and optimize SQL queries, audit large data sets, and build client dashboards in BI tools while collaborating with the US reporting team. Strong English and data QA are essential.

Role is full-time, remote, with a competitive monthly USD salary range and international scope. Ideal candidates have 2–4 years of relevant experience and a proactive, detail-oriented mindset.

Qualifications

• 2-4 years of experience as a Data Analyst, BI Analyst, or similar role, ideally dealing with marketing, SaaS, or automotive data.
• Advanced proficiency in SQL (PostgreSQL and ClickHouse preferred)
• Exceptional attention to detail and a proactive approach to investigating 'why' numbers might not match up.
• Ability to take structured analytical requirements (Jira tickets) and execute them efficiently with minimal oversight.
• C1 English required.

Responsibilities

• Write, debug, and optimize complex SQL queries to analyze large marketing and inventory data.
• Investigate and resolve data logic issues via HubSpot and Jira.
• Audit and standardize large external data sets for clean reporting.
• Build and maintain client dashboards and reports in BI environments per product vision.
• Perform QA on data sets and reports for Customer Success.
• Collaborate with US-based reporting team to fulfill ad-hoc data requests.

Skills

SQL

PostgreSQL

ClickHouse

Data storytelling

Attention to detail

Tools

HubSpot

Jira

BI tools

Job description

GoFasti is seeking an English-fluent Data Analyst to work remotely from Latin America. You will write and optimize SQL queries, audit large data sets, and build client dashboards in BI tools while collaborating with the US reporting team. Strong English and data QA are essential.

Role is full-time, remote, with a competitive monthly USD salary range and international scope. Ideal candidates have 2–4 years of relevant experience and a proactive, detail-oriented mindset.