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Olive Tree Consulting

Olive Tree Consulting

Data Analytics Internship

Madrid, ESSur siteContratTemps plein

Publié 24 août 2026

Cet emploi est publié en ES

This Data Analytics Internship is a full-time, remote position focused on supporting our work with a major Spanish infrastructure group. We are looking for an individual who can help us organize and interpret data to support better management decisions. This is an entry-level role designed for someone who enjoys finding patterns in information and presenting them in a way that is easy to understand. You will work closely with our advisory team to ensure that the evidence we use to guide our clients is accurate and clear.

About the Role
At Olive Tree, we help leaders fix the friction in their daily operations. For our work with the Spanish infrastructure group, this involves analyzing how projects move from planning to execution. Data is a central part of this process. We do not use data to create complex models that no one understands. Instead, we use it to show where decisions are stalling or where priorities are conflicting. The intern will help us gather this information, clean it, and turn it into simple reports that make the current state of the organization visible to its leaders. Because we are a fully remote firm, you will manage your tasks independently while staying in close contact with the team through written updates and regular video calls.

What You Will Do
  • Gather raw data from client reports and project management logs related to the infrastructure group.
  • Clean and organize datasets to ensure we are working with accurate information.
  • Create simple, clear visualizations that highlight bottlenecks or delays in project workflows.
  • Help the advisory team identify recurring issues by looking at historical project data.
  • Maintain the internal records we use to track our own progress on client engagements.
  • Write brief summaries of what the data shows, avoiding jargon and focusing on plain facts.
  • Check the work of other team members to ensure our numbers are consistent across different reports.
  • Assist in building basic dashboards that clients can use to monitor their management rhythms.
What We Are Looking For
We value people who are methodical and calm. You should be someone who notices when a number seems out of place and feels the need to find out why. Since we communicate mostly in writing, you need to be able to explain technical findings in plain English. We are not looking for a specific degree, but we do need someone who is comfortable working with numbers and logic. You should be able to manage your own schedule in a remote setting and be comfortable asking for clarification when a task is unclear. A quiet persistence in solving small problems is more important to us than familiarity with high-level theory.

Helpful Background
  • Basic proficiency in Excel or Google Sheets, including the use of formulas and pivot tables.
  • Familiarity with data visualization tools like Tableau or PowerBI is useful but not required.
  • An interest in how large organizations function and how they complete big projects.
  • Experience with basic coding or SQL is a plus, though most of our work is done in simpler formats.
  • Strong writing skills and a preference for clear, direct communication.
  • Previous experience with administrative or organizational tasks, even in a non-data role.
What We Offer
This is a paid internship with a competitive salary for the entry-level market. You will work in a fully remote environment, giving you the flexibility to manage your workspace. We focus on doing good work during business hours so that everyone can disconnect afterward. You will have the opportunity to see how a specialized advisory practice operates and how data influences real-world management decisions in a large infrastructure company. We provide a supportive environment where you can learn practical skills that are useful in any professional setting.

About Olive Tree
Olive Tree Consulting Group is a focused advisory practice that helps leadership teams solve recurring management issues. We typically work on the space between strategy and daily execution. A team can have very capable people and still find that decisions keep reopening, priorities stall, or responsibility remains unclear. These are rarely personality problems: they are structural habits that have not kept up with the company growth. We favor practical changes over large-scale transformation programs. Our work involves looking at how decisions are made, how meetings are run, and how ownership is recorded. We prefer useful written notes and clear ownership over polished presentations and vague alignment. Good advisory work should make things plainer and leave the team with a rhythm they can continue on their own. The firm is built on the principle that memory is not a management system. We help teams create the smallest possible written record to support their work so that important follow-up does not depend on who was in the room or who has the best memory. The goal is a quieter management pattern that makes the existing work easier to lead.

Aperçu du poste

Type de poste

Temps plein

E-mail

contact@olive-tree-consulting.com

Compétences requises

Data collection from client reports and project management logsData cleaning and preparationExcel / Google Sheets (formulas and pivot tables)Data visualization (creating simple, clear visualizations)Tableau or Power BI (familiarity)Basic SQL or codingDashboard development (basic client-facing dashboards)Technical writing and data storytelling in plain EnglishData validation and quality assurance (ensuring consistency across reports)Trend analysis and pattern recognition in historical project dataRecord keeping and internal administrative organizationAttention to detail and numerical troubleshootingRemote work and self-management (managing schedule and independent task ownership)Team communication and stakeholder collaboration (written updates and video calls)

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Data Analytics Internship chez Olive Tree Consulting à Madrid | Scovai | Scovai