The Data Analyst is responsible for analysing raw data and transforming it into meaningful insights that inform and enhance organisational decision-making. In addition, the role involves working closely with stakeholders, management, and department leaders to execute large-scale data changes while ensuring data integrity, consistency, and overall quality are maintained.

Client Details

We are the industry-leading compliance company for healthcare organisations, patients, and commercial businesses of every size, serving customers in North America and Europe. Our suite of essential services helps our clients properly dispose of potentially harmful medical waste, shred confidential information, and protect their trusted patient and customer relationships. And we provide these services in a safe, responsible, and sustainable way that's good for people and the planet. Every day, we protect what matters so you can work in a safer environment, live in a healthier community, and enjoy the world around you knowing your health and well-being are protected.

Description

The successful Data Analyst will be involved with but not limited to:

• Create meaningful business insights from raw data and communicate findings effectively.
• Build innovative analytical approaches to solve business problems and share methodologies with stakeholders.
• Generate reports from single or multiple systems to support business needs.
• Develop new data models and optimise existing ones to enhance reporting accuracy and speed.
• Support the design, build, and maintain dashboards and BI assets (primarily in Power BI).

Profile

The Successful Data analyst will be able to demonstrate

• SQL skills and experience building data models from scratch.
• Demonstrated proficiency in BI tools Power BI, SSRS/Report Builder.
• Strong ability to translate business requirements into scalable analytical solutions.
• Experience supporting multiple departments and iterating on outputs.
• Strong commercial mindset with the ability to understand the "why" behind the data.

Desirable.

• Familiarity with ETL/integration tools e.g. SSIS, ADF, LogicApps, Informatica or similar.
• Source Code Management e.g. Microsoft Devops or similar.

Job Offer

Based in the Leeds we are easily commutable by car or public transport within the Leeds & surrounding areas.

We offer hybrid working 2 days a week in the office, Tuesdays and Thursday and a earlier finish on a Friday. This role would be ideal for a Data Analyst who is wanting to further develop their analytical skills in a multinational company with excellent career progression and benefits.

For more information on the role and details of the benefits package apply today.