Data Analyst - Clearline Recruitment Ltd : Job Details

Role: Data AnalystLocation: Crawley (Hybrid - 3 days office based)Hours: Permanent, full-timePay: £40,000 - £50,000 per annum

An excellent opportunity has arisen for a Data Analyst to join one of our clients, a forward-thinking business based in Crawley.

Benefits:

• £40,000 - £50,000 per annum with a comprehensive benefits package
• Hybrid working model with three days based in the office
• Collaboration with international teams across multiple functions
• Health and wellbeing support initiatives
• Regular corporate and team-building activities
• Ongoing training and professional development opportunities

The Requirements:

• Minimum of 4 years' experience in a reporting and analytics role
• Strong knowledge of relational database languages (SQL)
• Experience using Microsoft Power BI or similar reporting tools
• Advanced Excel skills with excellent attention to detail
• Highly analytical with strong problem-solving abilities
• Confident communicator with the ability to present reports to senior stakeholders
• Resourceful, able to work independently or collaboratively to gather required data

Desirable:

• Exposure to SAP Business One
• Experience with Atlassian Jira / Confluence products
• Programming skills
• Previous commercial IT environment experience
• Foreign language skills (e.g. Mandarin, Italian, Japanese)

The Role:

• Liaise with internal stakeholders to identify reporting requirements and deliver solutions
• Manage and manipulate large datasets from multiple sources, presenting data in stakeholder-preferred formats
• Work with data owners to improve data quality through dashboards and reporting tools
• Assist in the creation and testing of analytics applications and reports
• Extract, transform, load (ETL) and manipulate data as required
• Collaborate closely with the Applications team to deliver information across the business
• Provide 1st line support to users as part of the applications function

If you're keen to join an innovative team in a collaborative environment, then please apply to this Data Analyst role below or call Jamie Watson on between 9:00am - 5:30pm.