Role:Data Analyst

Location:London, UK (Hybrid)

Salary:£35k-£45k (DOE)

Are you a data enthusiast looking to make an impact across multiple industries? Join a leading data consultancy in London that partners with clients in finance, retail, and healthcare to deliver data-driven solutions that transform their business operations.

My client is seeking aData Analystwith strong analytical skills and a passion for leveraging data to solve complex problems. In this role, you'll work with a diverse portfolio of clients, using data insights to drive meaningful business improvements.

Your Responsibilities:

• Analyse large datasets: Extract, clean, and analyse data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors.
• Support decision-making: Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency.
• Create data visualisations: Design and maintain interactive dashboards and visual reports to clearly communicate data insights to stakeholders.
• Collaborate with clients and internal teams: Work closely with cross-functional teams, including data scientists, consultants, and client representatives, to ensure that data projects align with client goals.
• Identify opportunities: Continuously explore ways to optimise processes, identify business opportunities, and deliver actionable recommendations to clients.

You Will Need:

• Bachelor’s degree in a quantitative field: Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Experience with data analysis tools: Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting.
• Data visualisation skills: Experience with tools like Tableau, Power BI, or similar to present complex data in a user-friendly format.
• Strong analytical mindset: Ability to understand and interpret complex datasets, drawing clear and actionable conclusions for clients.
• Excellent communication skills: Capable of conveying technical information to both technical and non-technical audiences.

It's A Bonus If You Have:

• Industry experience: Prior experience working with clients in finance, retail, or healthcare, and familiarity with sector-specific data challenges.
• Exposure to advanced analytics: Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis.
• Problem-solving approach: A proactive, solution-oriented mindset, with the ability to think critically and creatively.

The Benefits:

• Diverse projects: Gain experience working with clients across multiple industries, ensuring no two days are the same.
• Learning and development: Access to training and mentorship to support your growth and help you stay at the forefront of data trends.
• Collaborative work environment: Join a dynamic and supportive team of data experts, all working towards delivering exceptional results for clients.
• Competitive compensation: A salary that reflects your experience and expertise, along with performance-based incentives.

If you’re a motivatedData Analysteager to work with a variety of clients and industries, apply now to become part of a dynamic consultancy shaping the future of data-driven decision-making!