Data Analytics Consultant

At Efficio, we're not just a consulting firm; we're a team of dedicated experts committed to transforming procurement and supply chain functions. Our mission is to drive sustainable, measurable value for our clients through innovative solutions and deep industry insights. Join us and be part of a dynamic environment where your skills and ideas make a real impact.

Efficio is the world’s largest specialist procurement and supply chain consultancy, with offices across Europe, North America, and the Middle East. We’re a diverse team of over 1,000 individuals, representing more than 60 different nationalities and speaking 40+ languages – and we’re continuing to grow rapidly!

We are recruiting for our Lisbon Office where you'll be joining a growing team of nearly 200 people. Consultants based in Lisbon will support clients globally with the opportunity for international travel. Our consultants provide flexible support to clients whether it is a rapid assessment, short term savings realisation or embedding in a long-term partnership to deliver lasting and measurable value to clients.

This role sits within Efficio's Digital Delivery team, working at the intersection of consulting, data and technology.

Rather than building dashboards or maintaining internal reporting, you'll use data to solve real procurement and supply chain challenges for global clients.

You'll work alongside our consulting teams to understand client data, assess its quality, build analytical datasets such as Spend Cubes, and deliver insights that directly influence sourcing decisions and business outcomes.

Every project is different. One week you might be analysing ERP data for a global manufacturer, while the next you're helping consultants understand supplier spend patterns or using Python to automate data preparation for a new client engagement.

This is a hands‑on delivery role combining technical problem‑solving, analytical thinking and client collaboration.

What You’ll Be Doing

Work alongside consulting teams on global procurement and supply chain transformation projects.

Gather, assess and understand client data from ERP systems and other sources.

Clean, transform and structure complex datasets into analytical models such as Spend Cubes.

Develop data pipelines and automate repetitive data preparation activities using Python, SQL and AI.

Analyse procurement and spend data to uncover sourcing opportunities and support consulting recommendations.

Use AI-enabled tools and internal technologies to improve delivery efficiency.

Collaborate with consultants and client stakeholders to understand business problems and translate them into data solutions.

Present findings clearly to both technical and non-technical audiences.

Continuously identify opportunities to improve delivery processes through knowledge sharing and automation.

What we are looking for:

At least 3 years of professional experience in data analytics, business intelligence, analytics engineering, data consulting, or a related field.

Experience working with SQL.

Experience using Python for data manipulation or automation.

Strong analytical and problem-solving skills.

Experience working with and processing varied, disparate datasets.

Familiarity with Excel and data visualisation tools. We are using Sigma, but experience in PowerBI, Tableau, Looker, Qlik or similar will be valued).

Curious and eager to understand how businesses operate.

Comfortable working in across multiple projects.

Strong communication skills.

Nice to have:

Experience working with ERP data (SAP, Oracle, Dynamics, etc.)

Procurement or supply chain exposure

Experience with AI-assisted analytics or automation

Experience in consulting or client-facing delivery

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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