Data Analyst / Data Visualisation, Brussels

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Data Analyst / Data Visualisation

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NORRIQ Financial Services Join to apply for the

Data Analyst / Data Visualisation

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NORRIQ Financial Services Get AI-powered advice on this job and more exclusive features. Data Analyst / Data Visualisation Consultant

Who We Are

NORRIQ is a leading international consulting firm headquartered in Denmark and Belgium, with 350+ consultants driving business transformation through technology. Our

Financial Services

practice includes 100+ specialists supporting banks, insurers, and financial institutions in navigating regulatory challenges, embracing emerging technologies, and meeting evolving client demands. We prioritize growth, innovation, and excellence, offering abundant opportunities for professional development and collaboration.

The Opportunity

NORRIQ is seeking to grow its Data Analytics and Artificial Intelligence team with additional

Data Analyst / Data Visualisation Consultants

to improve the business performance of financial institutions. You will help our clients to optimize the value they can get from their internal and external data, through improved business performance monitoring and enhanced reporting quality and readability. Join us to work on impactful projects that shape the future of finance.

Responsibilities

Collecting and interpreting internal and external data about customer behaviour via the digital platforms (Web and mobile) and their digital transactions with the bank. Translate data insight into actionable recommendations in order to coordinate the business needs around data and improve the bank’s digital and marketing strategy and optimize future campaigns.Collect, analyze, and interpret large datasets to identify trends, patterns, and correlations Develop and maintain complex data models, databases, data warehouses and data marts . Create data visualizations and reports to communicate insights to stakeholders. Perform data quality checks and ensure data integrity, develop and implement data governance policies and proceduresStay up-to-date with industry trends and emerging technologies in data analysis and visualization

Your Profile

Master’s degree (or equivalent work experience) in mathematics or statistics, business intelligence, computer engineering, economy. 1-3 years of experience in data projects, preferably within the financial services industry. Technical Expertise&Tooling: SQL (mandatory), SAS (nice to have), Python&R (to support our AI team), Reporting&Visualisation tools (Power BI, Tableau, Adobe Analytics, ...),. ETL Processes: Affinity with ETL (Extract, Transform, Load) processes, including an understanding of data preparation, cleansing, and integration from multiple sources. Analytical Skills: Strong problem-solving and analytical abilities to translate complex data into actionable insights.Business Analysis Skills: Experience in requirements gathering, process design and developing action plans. AI knowledge: AI knowledge&interest to connect easily with our data scientist and machine learning engineers. Communication&Collaboration: Excellent communication skills; ability to work well in cross-functional teams and engage effectively with stakeholders. Languages: Fluent in English and native in French or Dutch.

What We Offer

Dynamic Work Environment: High-impact projects with leading financial institutions in a fast-growing consulting firm. Career Development: Continuous learning and growth opportunities to advance your career. Collaborative Culture: A supportive, innovative team environment that encourages new ideas and professional development.Global Exposure: International experience working on cross-border projects that shape the financial services industry.

Why Join Us?

At NORRIQ, we are shaping the future of finance through

transformation

and

innovation . If you're passionate about improving financial processes, driving change, and delivering value to clients, this is the perfect opportunity for you. Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

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