Data Analyst

Decskill

Porto

Presencial

EUR 55 000 - 75 000

Tempo integral

14 dias+

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Resumo da oferta

Decskill in Porto is growing and seeking a Data Engineer to join our IT consulting team. You will analyze data, track KPIs, and deliver actionable insights to support client strategy.

You will build dashboards with Tableau and Power BI, write Python Pandas analyses, and optimize SQL/ETL pipelines, collaborating with global teams.

English mastery required; you will contribute to reporting automation and data quality across multi-source datasets.

Qualificações

  • Strong experience in data analysis, BI, or data engineering-related roles.
  • Solid knowledge of data visualization and BI tools such as Tableau and Power BI.
  • Strong programming skills in Python, particularly using Pandas for data analysis.
  • Strong knowledge of SQL and experience working with ETL processes.
  • Advanced proficiency in Microsoft Excel.
  • Knowledge of descriptive statistics and hypothesis testing.
  • Experience with large, multi-source datasets and data pipelines.

Responsabilidades

  • Analyze internal and external data to identify business growth opportunities and support client strategy initiatives.
  • Ensure accurate tracking and delivery of KPIs aligned with client development goals and business roadmap.
  • Support global teams by providing high-quality data insights, tools, and analysis to improve sales effectiveness and decision-making.
  • Produce high-value reports, dashboards, and documentation for regional and global client reviews.
  • Leverage multiple data sources to generate actionable insights on business performance, client profitability, and wallet share growth.
  • Promote and contribute to the automation of reporting and client intelligence deliverables with IT teams.
  • Ensure data accuracy, consistency, and integrity across multiple data pipelines, dashboards, and reporting systems.
  • Support the development and improvement of client data processes, analytics frameworks, and reporting standards.

Conhecimentos

Data analysis
Business intelligence
Data engineering
Tableau
Power BI
Python
Pandas
SQL
ETL processes
Microsoft Excel
Descriptive statistics
Hypothesis testing

Ferramentas

Tableau
Power BI
Pandas

Descrição da oferta de emprego

We are growing. And we are looking for talented people.

At Decskill, we believe that technological excellence is driven by human talent.

We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.

As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.

We are looking for an Data Engineer!

Responsibilities
  • Perform analysis of internal and external data to identify business growth opportunities and support client strategy initiatives.
  • Ensure accurate tracking and delivery of KPIs aligned with client development goals and business roadmap.
  • Support global teams (London, New York, Hong Kong) by providing high-quality data insights, tools, and analysis to improve sales effectiveness and decision-making.
  • Produce high-value reports, dashboards, and documentation for regional and global client reviews.
  • Leverage multiple data sources to generate actionable insights on business performance, client profitability, and wallet share growth.
  • Promote and contribute to the automation of reporting and client intelligence deliverables in collaboration with business and IT teams.
  • Ensure data accuracy, consistency, and integrity across multiple data pipelines, dashboards, and reporting systems.
  • Support the development and improvement of client data processes, analytics frameworks, and reporting standards.
Requirements
Technical Requirements
  • Strong experience in data analysis, business intelligence, or data engineering-related roles.
  • Solid knowledge of:
  • Data visualization and BI tools such as:
  • Tableau
  • Power BI
  • Strong programming skills in Python, particularly using Pandas for data analysis.
  • Strong knowledge of SQL and experience working with ETL processes.
  • Advanced proficiency in Microsoft Excel.
  • Knowledge of descriptive statistics and hypothesis testing.
  • Experience working with large, complex datasets and multi-source data environments.
  • Experience in report automation and data pipeline optimization is highly valued.
Soft Skills
  • Strong communication and presentation skills, with the ability to translate data into clear business insights.
  • Adaptability and ability to work in fast-paced, global environments.
  • Strong attention to detail and commitment to data quality and accuracy.
  • Results-driven mindset with strong delivery focus.
  • Problem-solving skills with the ability to design and improve analytical processes.
  • Proactive attitude and ability to work effectively within a team.
  • Strong collaboration skills across business and technical stakeholders.
Language Requirements
  • English: Mastery level (mandatory).

Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.

Find with us the right opportunity to grow!
What you can expect from us:
  • Long-term projects with national and international context (if applicable)
  • Opportunities to grow technically and professionally
  • A people-first culture, focused on transparency and trust
  • Teams that value ownership, collaboration and stability.

Thank you! :)

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

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