Senior Data Consultant

Teals Consulting is a niche consulting company mainly active in the Financial Services and Energy sectors. We have activities in Belgium, France, Germany and around 40 staff members. We are looking for a dynamic talent to strengthen our Smart Data Management practice.

Our offer

• An open dialogue between the client, the partners and yourself about the assignments to continuously develop your skills and achieved impactful results.
• Our core values are the drivers of our actions: respect, openness, common sense, engage.
• Coaching, mentoring and personal growth bring us energy and drive our ambitions.
• A competitive salary package with fringe benefits.

Overview

As a Senior Data Consultant, you will help organizations to leverage their data to gain insights, make informed decisions, and drive business growth. This position combines sharp analytical skills, business acumen, and technical know-how to turn data into actionable insights and support key business initiatives.

Key Responsibilities

Data Analysis and Interpretation:

• Analyze complex datasets to identify trends, patterns, and insights.
• Use statistical tools and software (e.g., SQL, R, Python, SAS) to perform data analysis.
• Develop and implement data models, algorithms, and predictive models to support business strategies.

Consulting and Advisory:

• Work closely with clients to understand their business needs and objectives.
• Provide recommendations based on data analysis to improve business processes, increase efficiency, and drive growth.
• Present findings and insights to stakeholders through reports, presentations, and dashboards.

Required qualifications

Technical skills: proficient in extracting, cleaning, and analyzing large datasets using tools like SQL, Python, and R. Experienced in creating compelling visualizations and dashboards using tools such as Tableau, Power BI. Familiar with relational and non-relational databases, including MySQL.

Consulting Skills: Excellent communication and stakeholder management skills. Able of understanding client requirements, translating business needs into technical solutions, and presenting recommendations to diverse audiences.

Languages skills: fluent in Dutch or French with a very good knowledge of English.

Academic background: Master in Finance / Business Engineer / Computer Science / Data Science / or a related field. Certifications in related domains such as data visualization, machine learning, and database management is a strong plus.