Data Analyst (SAS & Cloud Migration)

Description

Summary: Join Keyrus as a Data Analyst (SAS) to transform complex data into clear insights and drive impactful business solutions within an international and evolving environment. Highlights: 1. Work at the intersection of data, technology, and business to deliver impact 2. Contribute to modern cloud-based platform evolution and data transformation 3. Collaborate with multidisciplinary, international teams on innovative projects **About Keyrus** ---------------- Keyrus is a global consulting and technology company focused on **making data matter — truly matter — from a human perspective**. Founded in 1996, Keyrus operates in **28\+ countries across 5 continents**, with more than **3,300 people worldwide**. Our strength comes from combining deep expertise in **Data \& Analytics, AI, Digital, and Management Consulting** with a strong understanding of business realities. Data is never the goal in itself. We use data to **shape understanding, design meaningful experiences, and enable better, real\-life decisions**. At Keyrus, we also believe companies have a responsibility beyond performance. Through our **Foundation and ESG initiatives**, we actively contribute to sustainability, inclusion, and positive societal impact. **\#OneTeamOneKeyrus** **The Role** ------------ As a **Data Analyst (SAS)**, you will work at the intersection of data, technology, and business, helping our clients turn complexity into clarity and insights into impact. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and sustainable growth. In particular, you will support the evolution of traditional SAS environments towards modern cloud\-based platforms. Job location: Lisbon, Portugal (Hybrid \- 3 days per week at the Office) Contract type: Employee Target start date: ASAP Working hours: Full\-time (40h/week) Compensation: €30K – €40K **Note:** All applications **(CVs)** must be submitted in English. **Your Impact** --------------- In this role, you will: * Perform data analysis and reporting using **SAS Enterprise Guide (EG)** * Design and maintain **ETL processes** using **SAS Data Integration Studio (DIS)** * Support data preparation, transformation, and validation activities * Contribute to the **migration from SAS 9\.x to SAS Viya (cloud environment)** * Work closely with business stakeholders to translate requirements into data solutions * Ensure data quality, consistency, and reliability across workflows * Contribute to delivering high\-quality solutions that solve real business problems * Translate data and technical concepts into clear, actionable outcomes * Collaborate with consultants, engineers, and stakeholders across teams and geographies * Support clients in their data and digital transformation journeys * Continuously improve how data is used to inform decisions and create value **What Makes This Role Challenging** ------------------------------------ * You will work in complex, evolving client environments with legacy and modern systems * You will be involved in **cloud migration initiatives**, requiring adaptability and learning * You are expected to balance delivery quality with pragmatism * You will collaborate with diverse profiles across functions and cultures * Autonomy increases with seniority — so does responsibility **What We’re Looking For** -------------------------- ### **Must\-haves** * Proven experience with **SAS Enterprise Guide (EG)** for data analysis and reporting * Strong experience with **SAS Data Integration Studio (DIS)** for ETL development * Solid understanding of **SAS 9\.4 environments** * Experience in **data preparation, transformation, and validation** * Good knowledge of **SQL and data querying** * Strong analytical and problem\-solving skills * Ability to communicate clearly with both technical and non\-technical stakeholders * A collaborative mindset and sense of ownership * Fluency in **English** * Must be a **Portuguese or European citizen**, or hold a **valid work permit for Portugal** ### **Nice\-to\-haves** * Exposure to **SAS Viya / SAS Cloud** * Experience in **data or platform migration projects** * Knowledge of **modern data architectures (cloud, distributed systems)** * Experience in consulting environments * Exposure to international or multicultural projects * Knowledge of **BI tools (Power BI, Tableau)** or **Python** **How Our Salary Ranges Work** ------------------------------ At Keyrus, salary ranges reflect **different levels of mastery and impact within the same role** — not different job titles. * **Bottom of the range** You meet the core requirements and will need ramp\-up time and support. * **Middle of the range** You are fully autonomous from Day 1 and deliver consistently. * **Top of the range** You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on **experience, autonomy, scope, and market context**, and are discussed transparently during the process. **What We Offer at Keyrus Portugal** ------------------------------------ * Competitive salary aligned with your experience and the data market * Meal allowance: **€10\.20/day** * Flexible benefits plan * Private medical insurance * **22 days of annual leave**, increasing every 3 years (up to 25 days) * Continuous learning via **KLX – Keyrus Learning Experience** * A collaborative, international, and human\-centred work environment **Why Keyrus?** --------------- Joining Keyrus means joining: * A **market leader in Data Intelligence** * A company where **people, trust, and diversity** are core values * An environment that values **ownership, flexibility, and innovation** * A place where different backgrounds and perspectives are not just welcomed \= they are essential We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus. **Equal Opportunity Statement** ------------------------------- We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.