# Data Analyst

**Company**: Mastercard
**Location**: Lisbon, Portugal
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Lisbon-Portugal/Data-Analyst_R-288489?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-analyst-9932b687-cf9/

## Description

Mastercard is seeking a Data Analyst to join its Global Analytics team. The successful candidate will design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data and analytics initiatives.

Responsibilities:

- Design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data and analytics initiatives.

- Build and optimize batch and real-time data processing solutions using SQL, Python, Spark, and related technologies.

- Ensure data availability, accuracy, consistency, and reliability across data platforms and pipelines.

- Implement data quality controls, testing frameworks, monitoring, and observability practices to support trusted data products.

- Apply engineering best practices including version control, CI/CD, DataOps, and automated deployment methodologies.

- Support platform upgrades, migrations, operational maintenance, and ongoing production support activities.

- Collaborate with Data Engineers, Data Scientists, Analysts, and business stakeholders to translate business requirements into scalable data solutions.

- Participate in technical design reviews, code reviews, and architecture discussions to drive engineering excellence.

- Create and maintain technical documentation, standards, and operational procedures.

Requirements:

- Hands-on experience in data engineering, data integration, and large-scale data processing.

- Strong proficiency in SQL and Python for data transformation, automation, and analytics workloads.

- Solid understanding of data modeling, database design, and performance optimization techniques.

- Experience designing and developing ETL/ELT solutions across modern data platforms.

- Knowledge of data quality frameworks, testing methodologies, and data validation practices.

- Familiarity with cloud-based or modern enterprise data platforms.

- Experience with source control, CI/CD pipelines, and software engineering best practices.

- Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.

- Excellent communication and collaboration skills with the ability to work effectively across technical and business teams.

- Self-motivated, detail-oriented, and committed to delivering high-quality, scalable solutions.

Preferred Qualifications:

- Experience with PySpark and Apache Spark for distributed data processing.

- Experience working within the Hadoop ecosystem and large-scale data environments.

- Familiarity with GitLab, Jenkins, or similar DevOps and CI/CD platforms.

- Exposure to Power BI or other business intelligence and data visualization tools.

- Understanding of modern data architecture patterns supporting analytics, machine learning, and AI workloads.

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## Skills

### Required
- SQL
- Python
- Spark
- ETL/ELT
- data engineering
- data integration
- large-scale data processing
- data modeling
- database design
- performance optimization
- data quality frameworks
- testing methodologies
- data validation practices
- cloud-based or modern enterprise data platforms
- source control
- CI/CD pipelines
- software engineering best practices

### Nice to have
- PySpark
- Apache Spark
- Hadoop ecosystem
- GitLab
- Jenkins
- Power BI
- business intelligence
- data visualization tools
- modern data architecture patterns

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Lisbon-Portugal/Data-Analyst_R-288489?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)