Data Analyst

About the Role

We are seeking a Data Analyst to join our expanding data and insight team based in Birmingham. This position involves creating analytical reports, detecting patterns, tracking business metrics, and providing data-driven insights to guide strategic decisions. Collaborating closely with various stakeholders, you will interpret complex datasets, develop reports and dashboards, enhance data quality, and contribute to improved business outcomes.

Key Responsibilities

• Analyze diverse data sets to identify trends, patterns, and opportunities that could enhance business performance.
• Create, update, and refine dashboards and reports using Power BI.
• Develop and optimize SQL queries to retrieve, manipulate, and analyze data efficiently.
• Integrate and maintain data from multiple systems.
• Provide stakeholders with meaningful analyses and actionable recommendations.
• Design and execute processes for data acquisition and integration.
• Monitor and improve data quality by proposing process enhancements.
• Prepare thorough documentation and communicate insights to both technical and non-technical audiences.
• Support business teams in data accessibility and understanding.
• Assist projects with technical data analysis and reporting functions.
• Ensure compliance with data protection, governance policies, and information security standards.

Requirements

• Previous experience working as a Data Analyst or in a similar analytical capacity.
• Proficiency in SQL and experience with relational database management.
• Hands-on experience developing reports and dashboards in Power BI.
• Familiarity with Python, R, XML, JavaScript, or ETL tools.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• High attention to detail with a focus on accuracy.
• Capability to interpret complex data and present results clearly.
• Effective at managing multiple priorities and adhering to deadlines.

Preferred Qualifications

• Background in the financial services sector.
• Experience in B2B business environments.
• Knowledge of data modeling, mining, and segmentation techniques.
• Experience aiding pricing, underwriting, or commercial analytics areas.
• Relevant academic degree in Data Analytics, Computer Science, Mathematics, Statistics, or closely related fields.

What We Offer

• Hybrid working model that combines on-site and remote work.
• Opportunity to engage with extensive and diverse datasets.
• Supportive and collaborative team atmosphere.
• Interaction with a wide variety of business stakeholders.
• Potential for professional growth and upward mobility in your career.