Senior Data Analyst (GCP)

TL;DR

Senior Data Analyst (GCP): Transforming complex datasets into actionable business insights through BigQuery-based analysis, cloud-scale analytics, dashboards, and KPI reporting with an accent on data quality, modeling, and stakeholder communication. Focus on designing efficient analytical datasets, performing exploratory analysis, and solving reliability and scalability challenges in large cloud data environments.

Location: Hybrid work in Lisbon, at the Expo or Colombo offices, Portugal

Company

hirify.global Engineering provides engineering, R&D, digital, and software technology services to organizations across industries.

What you will do

• Analyze, transform, and interpret complex structured and semi-structured datasets to support business decisions.
• Design, build, and maintain queries, data models, and datasets using GCP, with a strong focus on BigQuery.
• Perform exploratory data analysis to identify trends, anomalies, patterns, and opportunities.
• Develop dashboards, reports, and KPIs in Power BI for business performance monitoring and data storytelling.
• Ensure data quality, consistency, reliability, documentation, and dataset labeling.
• Collaborate with business stakeholders and cross-functional teams to translate requirements into analytical solutions and communicate recommendations clearly.

Requirements

• 4–6 years of experience in a Data Analyst or similar analytics role.
• Strong SQL skills and experience querying large datasets.
• Experience with Python for data analysis and preparation, including Pandas, PySpark, or equivalent tools.
• Hands-on experience with Google Cloud Platform, especially BigQuery, and large-scale cloud data warehouses.
• Strong experience building and maintaining interactive Power BI dashboards, with knowledge of data modeling, KPIs, business metrics, and applied statistics.
• Strong communication, stakeholder management, analytical thinking, attention to detail, and problem-solving skills.

Nice to have

• Familiarity with supervised and unsupervised data science algorithms.
• Knowledge of Git, data pipelines, and CI/CD concepts.

Culture & Benefits

• Multicultural and inclusive team environment with a supportive work-life balance.
• Career growth programs, training, and certifications in advanced technologies.
• Opportunities to work on national and international projects.
• Health and life insurance.
• Referral program with bonuses and access to office locations.