QDI - DATA ANALSYT / PYTHON (HYBRID)

QDI - DATA ANALSYT / PYTHON (HYBRID LISBON OR PORTO)

Portuguese company hires for hybrid position

📍 Location: Lisbon or Porto, Portugal

⚠️ Only candidates already based in Portugal will be considered

💼 Work Model: Hybrid (50% remote)

🗣️ Language Requirements: English (Fluent – C1+)

🕓 Seniority: Mid-level (4+ years)

🏭 Sector: Banking

💲Rate Between €2600 - 2900 RV / €1700 – 2000 CTI

⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success

Turn Data into Strategic Business Decisions

We are looking for a talented Data Analyst with strong Python skills to join the Quantitative Data Intelligence (QDI) team, supporting Global Markets and Front Office business areas within a leading international banking environment.

This is an exciting opportunity for professionals passionate about Data Analytics, Python Development, Business Intelligence, Data Visualization, and Automation. You will work directly with traders, sales teams, and business stakeholders, transforming complex data into actionable insights that drive strategic decisions.

If you enjoy solving business problems through data, building analytical solutions, and working in a highly collaborative environment, this role is for you.

About The Team

The Quantitative Data Intelligence (QDI) team delivers data, insights, and analytical solutions to Global Markets Front Office teams.

Our mission is to collect, process, transform, analyze, and visualize data from multiple sources, enabling business users to make faster and more informed decisions.

We Cover The Entire Data Lifecycle, Including

• Data Feeds Industrialization
• ETL Processes
• Data Warehousing
• Data Analytics
• Data Visualization
• Reporting Automation
• API Development
• Chatbot Solutions
  
  

Our technology stack includes Python, SQL, Tableau, Power BI, APIs, and modern analytics platforms.

Key Responsibilities

Data Analysis & Business Insights

• Partner directly with business stakeholders to understand analytical needs and challenges.
• Translate business requirements into data-driven solutions.
• Identify trends, opportunities, risks, and business improvement areas through data analysis.
• Deliver actionable insights that support strategic decision-making.
  
  

Python Development & Data Processing

• Retrieve, clean, transform, and analyze large datasets using Python.
• Develop reusable analytical solutions and automation tools.
• Build efficient data processing workflows.
• Support the continuous improvement of existing analytical frameworks.
  
  

Reporting & Visualization

• Design and develop dashboards and reports using Tableau and Power BI.
• Present complex data in a clear, intuitive, and impactful way.
• Create automated reporting solutions that enhance business productivity.
  
  

Stakeholder Management

• Collaborate with Front Office, Sales, Trading, and Business teams.
• Communicate analytical findings to both technical and non-technical audiences.
• Act as a bridge between business stakeholders and technical teams.
• Support the implementation of analytical solutions from concept to delivery.
  
  

Mandatory Requirements

Education

Bachelor’s Degree In One Of The Following Areas

• Engineering
• Computer Science
• Data Science
• Mathematics
• Statistics
• Economics
• Information Systems
• Related quantitative fields
  
  

Technical Skills

✔ Strong Professional Experience With Python, Especially

• Pandas
• Data Manipulation
• Data Processing
• Data Analysis
• Automation
  
  

✔ Experience working with SQL and relational databases.

✔ Hands-on Experience With Data Visualization Tools Such As

• Tableau
• Power BI
  
  

✔ Experience handling and analyzing large datasets.

✔ Strong analytical and problem-solving skills.

✔ Ability to simplify and communicate complex information.

✔ Fluent English (mandatory).

Nice-to-Have Skills

The Following Qualifications Are Considered a Strong Advantage

• Statistical Analysis
• Descriptive Statistics
• Hypothesis Testing
• Power Query
• DAX
• PySpark
• Apache Airflow
• Presto
• Big Data Technologies
• Data Warehousing
• ETL Frameworks
• API Integration
• Financial Markets knowledge
• Banking industry experience
• Machine Learning fundamentals
• Data Governance concepts
  
  

Ideal Candidate Profile

We are looking for someone who combines strong technical skills with a business-oriented mindset.

The Ideal Candidate

✅ Is passionate about data, analytics, and automation.

✅ Has solid hands-on experience with Python and data analysis.

✅ Enjoys transforming complex business problems into practical analytical solutions.

✅ Can communicate effectively with both technical and non-technical stakeholders.

✅ Has a proactive attitude and takes ownership of projects.

✅ Is curious, detail-oriented, and continuously seeks process improvements.

✅ Enjoys programming challenges and learning new technologies.

✅ Thrives in collaborative and fast-paced environments.

Candidate Screening Questions

Please Answer The Following Questions When Applying

• How many years of professional experience do you have as a Data Analyst?
• How would you rate your Python skills (Intermediate, Advanced, Expert)?
• What is your experience with Pandas and data manipulation?
• Describe a project where you used Python to automate a process or solve a business problem.
• How would you rate your SQL knowledge?
• Which data visualization tools have you used professionally (Tableau, Power BI, others)?
• Have you worked directly with business stakeholders? Please provide examples.
• What experience do you have with ETL processes and Data Warehousing?
• Have you worked with Big Data technologies such as PySpark, Airflow, or Presto?
• Do you have experience in Banking, Financial Services, Trading, or Capital Markets?
• Describe a situation where your analysis influenced a business decision.
• What is your English proficiency level?
• Are you available to work in a hybrid model in Lisbon or Porto?
• What is your notice period or availability to start?
• What are your salary expectations?
  
  

Why Join This Opportunity?

🚀 Work on high-impact projects supporting Global Markets and Front Office teams.

📊 Develop analytical solutions that directly influence business decisions.

🤖 Leverage modern technologies including Python, SQL, Tableau, Power BI, APIs, and automation tools.

🌍 Join an international and multicultural environment.

📈 Expand your expertise in Data Analytics, Financial Markets, and Business Intelligence.

🏡 Benefit from a flexible hybrid work model.

Keywords to Include in the Resume

Data Analyst, Python, Pandas, SQL, Data Analytics, Data Analysis, Business Intelligence, BI, Tableau, Power BI, Data Visualization, ETL, Data Warehousing, Data Processing, Data Engineering, Automation, Reporting Automation, Dashboard Development, Data Modeling, Statistical Analysis, Descriptive Statistics, Hypothesis Testing, Python Development, API Integration, Big Data, PySpark, Apache Airflow, Presto, Data Transformation, Data Insights, Stakeholder Management, Financial Markets, Capital Markets, Banking, Global Markets, Front Office, Trading, Sales Analytics, Quantitative Analysis, Business Analysis, Data-Driven Decision Making, Problem Solving, Process Improvement, Reporting, Analytics Solutions

#CI - PROC26262_2