My Favourite Spot

Data Analyst

My Favourite Spot

full-time

Posted on:

Location Type: Hybrid

Location: Vila Nova de Gaia • Portugal

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Tech Stack

Amazon RedshiftBigQueryCloudPythonSQLTableau

About the role

  • Collect, clean, and analyze large datasets from multiple sources;
  • Build dashboards, reports, and visualizations to track KPIs and business performance;
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities;
  • Collaborate with cross-functional teams to define metrics and provide data-driven recommendations;
  • Support product development with insights into user behavior and travel industry trends;
  • Ensure data accuracy, reliability, and integrity across reporting systems.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field;
  • 4+ years of experience as a Data Analyst or in a similar role;
  • Strong proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, Looker);
  • Solid knowledge of Excel/Google Sheets and experience with Python or R for data analysis;
  • Experience working with large datasets and cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift);
  • Strong analytical and problem-solving skills with attention to detail;
  • Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders;
  • Comfortable working in a fully remote, collaborative environment.
Benefits
  • Competitive salary based on experience and expertise;
  • Annual performance-based bonus;
  • AdvanceCare health insurance;
  • 24 days of annual leave (including your birthday off);
  • Hybrid working model;
  • Travel perks at net rates.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata visualizationExcelGoogle SheetsPythonRdata analysislarge datasetscloud-based data warehousesdata cleaning
Soft Skills
analytical skillsproblem-solving skillsattention to detailcommunication skillscollaborationdata-driven recommendationsexplaining complex data insights