[Hiring] Business Intelligence Engineer/Data Scientist @Datafin IT Recruitment

Role Description

Our client is a trailblazer in membership management, offering tailored solutions to the unique challenges faced by modern Trade Unions. They are currently looking for a passionate Business Intelligence Engineer / Data Scientist to join their dynamic team. You'll be responsible for deep diving into company and client data, cleaning and analysing datasets, and extracting meaningful insights that drive business decisions. Your role will involve:

• Deep diving into company and client data to clean, analyse, and extract meaningful insights that drive business decisions.
• Developing and maintaining BI dashboards, primarily using Power BI.
• Designing predictive models and AI-driven solutions to support business objectives.
• Translating business requirements into actionable, data-driven outcomes.
• Mentoring junior analysts, helping them navigate complex data challenges.
• Automating recurring processes and troubleshooting data-related issues.
• Collaborating with Senior BI Analysts and the Head of BI to contribute to the broader BI strategy.

Qualifications

• 5+ years in a Business Intelligence Engineer, Data Scientist, or similar role.
• Relevant Degree.

Requirements

• Must-Have Technical Skills:
• Power BI: Proficiency in developing and maintaining dashboards.
• Python: Strong programming skills, including experience with data science packages such as NumPy, Pandas, Scikit-learn, and TensorFlow.
• Data Visualization: Expert ability to create clear and impactful visual representations of data.
• Additional Technical Skills:
• SQL: Proficiency with MySQL, T-SQL, and Graph databases.
• Soft Skills:
• Strong ability to translate business needs into technical solutions.
• Proven capability to work autonomously while thriving in a collaborative team environment.
• Experience mentoring junior team members.

Benefits

• Passionate: Demonstrates a genuine enthusiasm for data analysis, AI, and deriving insights.
• Ownership: Takes autonomy over projects and is committed to delivering accurate, high-quality work.
• Growth-Oriented: Actively seeks continuous learning and mastery opportunities, particularly in AI and advanced analytics.
• Collaborative: Works effectively with stakeholders across the organization and within a dynamic team.
• Detail-Oriented: Maintains a focus on data accuracy and consistency while meeting tight deadlines.