Data Consultant Lisbon, Porto -
Overview
Making Data Matter is Keyrus motto. Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we are on a mission to elevate the impact of data.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an
-
- end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.
With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.
Overview (Job Summary)
Keyrus is looking for a Data Consultant. The ideal candidate embodies technical prowess in data pipelines, coupled with a fervent commitment to making every piece of data matter. We value individuals who are
- oriented, independent contributors with exceptional communication and
- solving skills, ensuring that together, we continue to transform possibilities into reality.
This position is Hybrid in Lisbon or Porto.
Note: All applications/CV’s must be submitted in English.
Key Responsibilities
- Identify business use cases, lead workshops, and design scalable solutions that accelerate client innovation and efficiency gains.
- Facilitate collaboration, communication, and coordination among project stakeholders to understand both operational and strategic needs.
- Translate business needs into requirements and define clear, realistic roadmaps validated by all stakeholders.
- Design and deliver data analyses, ranging from
- hoc studies to full data pipelines using ETL tools, SQL, and/or Python. - Promote and contribute to the adoption of a
- driven culture within CIB. - Track and report on projects using appropriate project management tools (e. g. , Jira, Confluence).
Requirements for the role
- At least 2 years of experience as a Data Consultant.
- Full proficiency in the Microsoft Office Suite (Expert).
- Good command of project management tools and methodologies (Practice level).
- Hands-on experience with ETL tools, SQL, and/or Python for data analysis.
- Excellent writing, communication, and interpersonal abilities.
- Strong attention to detail, rigour, and organisational skills.
- Ability to synthesise and simplify complex concepts for senior stakeholders.
- Fluent in English
- Must be a Portugueseor Europeancitizen or have a work permit for Portugal
What we offer at Keyrus Portugal
- Competitive salary based on your skills & experience and according to the Data market practice
- Meal allowance of €8. 32 per day
- Flexible benefits option
- Private Medical Insurance
- 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
- Training Program through KLX (Keyrus Learning Experience) Platform
Why Keyrus?
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation -
- 're dedicated to cultivating a team as diverse as the challenges we take on.
We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness.
Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here.
Join us in shaping a future where everyone can thrive!
- Informações detalhadas sobre a oferta de emprego
Empresa: Keyrus Portugal Localização: Porto
Porto, Porto District, PortugalPublicado: 27. 9. 2025
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