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Truly global, highly valued and fast-growing consulting firm (not a big-four) known for its strong presence in IT Consulting, Business Performance Improvement, Internal Audit and Financial Advisory, with a diverse set of local and international clients.
To support the continuing growth of the firm, they are keen to hire a (Senior)Manager within the Data Science Team.
How does the firm distinguish itself?
1. Real and content-driven knowledge
2. Listening to the customer and looking for the solution together instead of slightly adjusting its 'own' model and pushing it into the organization (which sometimes seems to be the case with other Consultancies)
3. Jointly (with the customer) put together a solution, so that the solution is a more permanent one
4. Soft skills - authentic, involved, friendly and professional
Deal with exciting projects in various area of consulting, including Financial Service Advisory, IT Consulting, Risk Management etc.
Lead agile data science and automation projects and significantly involved in the success of the projects
Support in the analysis and optimization of business processes through analysis of key metrics and proposing insightful actions
Using data and automation to understand and improve business performance. Be curious and comfortable digging deep into data and able to summarize their findings for management consumption, as well as setting up new projects
Helping decide how their data transformation infrastructure is organized (e.g. how do they store metrics, raw data and other transformed datasets)
Be responsible for the design, development, and maintenance of critical analytics solutions, for example Celonis and PowerBI
You will be in close contact with the decision-makers on the customer side and know how to address problem solutions and solve them qualitatively accordingly
BSc. or MSc. in a quantitative field (Econometrics, Computer Science, Business Analytics, Physics, Mathematics) preferably with a specific emphasis on a data related field
6+ years of hands-on experience in data analysis/data reporting, experience in consulting industry is preferred
Skilled user of programming logic, database knowledge and tools . Examples include Celonis, Microsoft PowerBI, UIPath, SQL, Python, R, VBA, etc. Note that the interpretation is more important. Statistical knowledge is not a must. Due to the level of seniority, it is more about translating how something is done and the ability to translate/communicate it and guide juniors through this process
Industry background/ sector knowledge is flexible, preferably commercial markets / industry experience
Looking for stakeholder expectations, teaching the juniors
Ability to quickly learn about and familiarize yourself with different business domains (ability to show a clear understanding of "what's behind the data")
Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users
Basic understanding of data migration, some Machine Learning technics, or data governance would be a plus
Open to networking and having had experience with building a network is a must in this role
Entrepreneurship and professional attitude are highly encouraged and appreciated
Fluent and effective communication in English is required, Dutch would be a plus
Developing and help shape a team in the consulting industry
They are in the early stages, hence this role offers much growth and impact, coupled with being global and valued as a truly established partner
Working on 'real' and business critical solutions, instead of only adjusting the existing model and push it into the organization
An open culture that encourages learning and personal development through mentoring, training courses, and one-on-one coaching sessions
High level of autonomy
Working on challenging projects and the opportunity to help build an entrepreneurial consultancy firm, whilst being part of a global consultancy organization
A competitive salary package with attractive benefits, such as company pension, health insurance, and above market rate bonus structure