Data Analyst (Hybrid 2-3 days)

About the Role: Data Analyst (Hybrid 2-3 days)

We are seeking a talented Data Analyst to join a leading financial services organisation based in Manchester. In this role, you will work closely with key stakeholders to deliver actionable insights, support data-driven decision-making, and play a critical part in optimizing business performance within a fast-paced, data-rich environment.

Key Duties & Responsibilities

• Gather, analyse, and interpret complex financial and operational data to identify trends, patterns, and opportunities for improvement.
• Develop, maintain, and automate dashboards and reports to provide stakeholders with real-time insights and performance metrics.
• Work collaboratively with teams across finance, risk, and operations to understand business challenges and provide data-driven solutions.
• Perform deep-dive analyses to support strategic initiatives and optimize business processes.
• Ensure the accuracy and integrity of data by implementing robust validation and cleansing techniques.
• Identify opportunities to improve data collection, reporting processes, and analytics capabilities.
• Present findings and recommendations to senior stakeholders in a clear and compelling manner.
• Support the implementation of new data tools and platforms to enhance the organization’s analytics capabilities.

Skills & Experience

Essential:

• Proven experience as a Data Analyst, preferably within the finance industry.
• Advanced proficiency in data analysis tools such as SQL, Excel, and Power BI (or similar visualization tools).
• Strong understanding of financial datasets, metrics, and reporting requirements.
• Experience in creating dashboards and automated reporting solutions.
• Excellent problem-solving skills with a strong attention to detail.
• Ability to translate complex data into actionable insights for both technical and non-technical audiences.
• Knowledge of data cleansing, validation, and preparation processes.
• Exceptional communication and interpersonal skills, with experience presenting to stakeholders.

Desirable:

• Familiarity with Python or R for data analysis.
• Experience working with financial risk, compliance, or performance datasets.
• Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Professional certifications such as Microsoft Power BI Data Analyst or relevant financial qualifications.

Why Join Us?

• Join a forward-thinking finance organization committed to leveraging data to drive business success.
• Work in a collaborative, high-performing team with access to cutting-edge data tools and technology.
• Benefit from a hybrid working model with a mix of office and remote flexibility.
• Competitive salary and benefits package, including a pension scheme, holiday allowance, and professional development opportunities.

Ready to Advance Your Career?
If you’re a data enthusiast with a passion for finance and analytics, we’d love to hear from you. Apply now to become part of a team that values innovation, collaboration, and impact.

How to Apply:
Submit your CV here.