Senior Data Analyst

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Responsibilities

Are you ready to discover the role of a Senior Data Analyst in Netcompany?; As a Senior Data Analyst you will:; Lead and execute end-to-end data-warehouse and reporting projects using multi-dimensional models and advanced context manipulation.; Extract, combine, and transform data across multiple environments, including BusinessObjects universes, SQL databases, and flat files.; Design and implement key performance indicators (KPIs) and interactive dashboards that deliver actionable business insights.; Set up and streamline automated publishing, scheduling, and distribution workflows for recurring reports.; Manipulate, process, and visually map geo-enabled datasets to support spatial reporting requirements.; Prepare training content and lead interactive training sessions for end-users and stakeholders.; Draft concise user manuals, FAQs, and operational documentation in clear English.; Apply analytical rigor, clear written and oral communication, and disciplined time management to prioritize tasks and collaborate within a team environment.

Requirements

What would make you a fit for the role:; A Bachelor's degree and minimum of 5 years of experience; Proven experience designing and structuring enterprise data warehouse models based on Inmon principles across platforms like Oracle and Sybase IQ.; Track record of developing interactive dashboards and enterprise reports using SAP Business Objects (Designer & Web Intelligence), Power BI, SAP Analytics Cloud, or Plotly Dash.; Strong expertise in advanced data analysis and complex SQL querying to extract actionable business insights from large datasets.; Hands-on background building and optimizing data pipelines and ETL integration processes using tools such as IBM InfoSphere DataStage, Apache Spark, or Talend.; Practical experience leveraging cloud platforms (AWS, Azure) and scripting languages like Python to support modern data management, governance, and analytics.; Deep functional domain knowledge in banking and fund management, with the ability to translate complex financial business requirements into effective data solutions.; Excellent command in English (C1+) and any other EU language is a plus.