Data Analyst (SQL / Python / BI)

Data Analyst (SQL / Python / BI) Overview

Requirements

What we're looking for

• Solid practical experience in SQL for advanced queries and exhaustive data analysis.
• Demonstrable experience working with Python and the Pandas library for data manipulation and analysis.
• Proficiency in data profiling, quality assurance, validation, and technical reconciliation.
• Proven experience in the design and implementation of dashboards and visualizations with Power BI, Tableau, or similar tools.
• Advanced English level (C1), indispensable for fluid technical communication with international teams.

Nice to have

• You have previous experience in projects within the pharmaceutical, scientific, or R&D sectors.
• You possess familiarity with User Acceptance Testing (UAT) and the definition of validation scenarios.
• You are passionate about learning, sharing ideas, and growing together with the team.

Pay & benefits

What you'll get

• 100% remote working modality with total flexibility and autonomy to organize your working day.
• Integration into large-scale technological projects alongside leading global clients.
• A collaborative, dynamic environment focused on continuous professional growth and the development of cutting-edge competencies.

At Initium, we don’t just develop technology: we create an environment where people can evolve, add value, and leave their mark.

Apply now and let’s talk.

This is a remote position.

The role

Transform the analytical future by leading data-driven decisions

At Initium Software, we connect the best technical talent with the most challenging and innovative projects on the market. We are not a traditional consultancy; we are strategic partners who believe in real impact through technology. We are looking for a high-level analytical profile capable of translating the complexity of large volumes of data into strategic and actionable solutions for innovation environments.

What you'll do

• Actively collaborate with business teams and data owners within the R&D field to understand metrics, KPIs, and analytical requirements.
• Analyze massive and complex datasets using SQL and Python, identifying trends, patterns, anomalies, and quality improvement opportunities.
• Execute data profiling, cross-validations, reconciliations, and root cause analysis across multiple information sources.
• Translate business needs into transformation rules, data models, metrics, and interactive visual dashboards in Power BI or Tableau.
• Collaborate continuously with data engineers and architects to validate flows, pipelines, and source-to-target mappings.

How will we measure your impact?

• Monthly achievement of project efficiency goals.
• Effective alignment and execution of the strategic plan.

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