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Permanent

Data Analyst

Crawley
money-bag £40000 - £50000/annum
Posted Yesterday

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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