Data Analyst (Remote - Latam) at Jobgether

P'yŏngyang, , North Korea -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, BI Tools, Cloud Platforms, Data Visualization, Event-Based Analytics, Data Transformation, Collaboration, Communication, Data Modeling, Dashboards, Reports, Business Intelligence, Analytical Skills, Detail-Oriented, Proactive

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in Latin America. We are seeking a proactive Data Analyst to track and maintain critical business metrics while providing actionable insights across the organization. The role focuses on designing, developing, and implementing dashboards and reports that optimize decision-making and improve operational performance. You will transform team requirements into structured data models and analyses, enabling data-driven strategies across multiple departments. This position is fully remote, offering flexibility while collaborating with cross-functional teams in a fast-paced, growth-oriented environment. The ideal candidate is curious, detail-oriented, and enjoys turning complex datasets into clear, business-relevant insights. Strong analytical and communication skills are essential to translate data findings into actionable recommendations. Accountabilities Develop, maintain, and optimize dashboards and reports to monitor key business metrics. Transform team requirements into structured data models and actionable insights. Collaborate with cross-functional teams to deliver timely and relevant business intelligence. Analyze and interpret large datasets using SQL, BI tools, and cloud-based data platforms. Support data-driven decision-making by providing recommendations and insights. Document processes and maintain a knowledge base for team-wide access. 2+ years of experience in data analysis or data engineering roles. Proficiency in SQL and advanced data analysis techniques. Experience with BI and visualization tools such as Power BI, Looker, Tableau, or similar platforms. Familiarity with event-based analytics platforms like MixPanel or Amplitude. Experience with cloud environments (preferably GCP) and data transformation tools like dbt, Dataform, or Python. Ability to translate technical findings into clear, actionable business insights. Strong collaboration and communication skills for remote teamwork. Bachelor’s degree in Systems Engineering, Computer Science, Data Science, Industrial Engineering, or related fields. Fully remote work with flexible scheduling. Competitive salary in USD. Opportunities for professional development and career growth. Exposure to modern data technologies and analytical best practices. Stability within a professional and expanding team. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Data Analyst will develop, maintain, and optimize dashboards and reports to monitor key business metrics. They will collaborate with cross-functional teams to deliver actionable insights and support data-driven decision-making.