Data Analyst

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We’re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Job Description

Want to use data intelligently to deliver maximum value to clients? It's a challenge that suits you perfectly and energizes you. You're looking for challenges where you can not only advise but also deliver tangible results. You want to make a difference. Are you ready for the next phase? Ready to tackle and solve complex data challenges and further specialize in your data management field? Then we'd love to get to know you. What you'll be doing at the client's site

As a Data Analyst, you'll play a key role with our clients. You'll advise on their data management, develop data strategies, and translate these into workable solutions to maximize the value of their data. You'll be involved in all phases of the project, from developing data governance frameworks to implementing data quality processes and advising on data analysis. Interested in a project like this? Moreover:

You'll identify improvement opportunities through thorough analyses of data sources and processes. You'll design and implement data architecture and models for improved interoperability and scalability. You'll ensure more efficient and effective systems; you'll advise and support data integration, migration, and transformation projects. You'll provide insights that support your clients in making the right business decisions. You'll provide training and support to users to help them manage and use data effectively. Qualifications

This is you

You're naturally curious, enjoy a bit of fun, but are also serious when it comes to your work. In this role, we'd like you to: Enjoy your work! Enjoy collaborating with colleagues and clients on interesting issues. That's a key part of your job. You want to develop yourself every day with your positive attitude and drive. You have strong communication skills and understand the importance of listening — to the client, colleagues, and yourself! You prefer diverse and complex projects over routine tasks. You do what you promise, are accurate, and ensure your work is completed on time without compromising quality. You're a true team player. As a Precedencial, you can always count on support from your colleagues. Achievements are the result of successful collaboration, and we celebrate them together! We value this culture highly. What you bring What you bring

Completed HBO (higher professional education) or WO (university education) degree You speak fluent Dutch and English At least one year of knowledge and experience with (meta)data management and data quality solutions You possess relevant data and technical skills, such as data cleaning, data visualization, machine learning, knowledge of big data tools, and data warehousing. Knowledge of programming languages is a plus! You have a strong vision for data management within organizations. What do we offer?

Competitive salary with extra advantages: a company car or flexible mobility plan, a clear and structured yearly salary increase, and bonuses Training plan to develop yourself as an expert in your discipline You have the opportunity to work from home, at the client site, or from our offices in Amsterdam or Maastricht Work in an international environment which creates opportunities to share knowledge and collaborate on international projects with colleagues around the world Additional Information

Unfortunately, we are unable to provide a work permit for this position. Sia is an equal opportunity employer. Employment decisions, including hiring, promotion, remuneration, or disciplinary actions, are based solely on performance, competence, conduct, and business needs.

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