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Data analyst

Crawley
Clearline Recruitment Ltd
Data analyst
Posted: 14h ago
Offer description

Role: Data Analyst
Location: Crawley (Hybrid - 3 days office based)
Hours: Permanent, full-time
Pay: £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 (phone number removed) between 9:00am - 5:30pm

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