Remote Data Analyst: Turn Data into Growth

Lago; Philippines; À distance; PHP 3 084 515 - 4 935 224; Plein temps

Avantages offerts par ce poste

Remote Work

Growth Opportunities

Innovative Culture

Résumé du poste

Lago is seeking a Data Analyst to collect, analyze, and interpret data to generate actionable insights. You will transform raw data into clear narratives via dashboards, reports, and analyses to help stakeholders understand performance and identify trends.

Join a remote-friendly team, work across marketing, operations, finance, and product to answer data questions and drive continuous improvement with data-driven recommendations.

Qualifications

• 2–4 years of experience in a data analyst or BI role.
• Proficiency in SQL for querying relational databases.
• Experience with BI/data visualization tools (Tableau, Looker, Power BI, Metabase, or similar).
• Strong analytical thinking and ability to translate data into clear business insights.
• Proficiency in Excel or Google Sheets for data analysis and reporting.
• Ability to communicate complex findings clearly to non-technical audiences.
• Strong attention to detail and data accuracy standards.
• Strong English proficiency (B1–C1).

Responsabilités

• Collect, analyze, and interpret data to generate actionable insights for business decisions.
• Create dashboards, reports, and analyses to tell clear data stories.
• Collaborate with marketing, operations, finance, and product teams to answer data-driven questions.
• Support continuous improvement through data-driven recommendations.

Connaissances

SQL

Analytical thinking

Excel/Sheets

English communication

Data interpretation

Outils

Tableau

Looker

Power BI

Metabase

Description du poste

Lago is seeking a Data Analyst to collect, analyze, and interpret data to generate actionable insights. You will transform raw data into clear narratives via dashboards, reports, and analyses to help stakeholders understand performance and identify trends.

Join a remote-friendly team, work across marketing, operations, finance, and product to answer data questions and drive continuous improvement with data-driven recommendations.