Job description
DATA ANALYST (POWER BI/SQL) - Stoke-On-Trent, Staffordshire
Full Time - On Site (may consider hybrid working once familiar with the role)
Are you an experienced Data Analyst looking for an exciting new challenge in a growing industry?
Do you want more freedom in your role?
Our client, a niche aviation publication, boasts the world's leading aircraft listings website. To maintain their international status, they’re looking for a Data Analyst to assist with producing industry-leading reports, articles, and white papers.
As the Data Analyst, you’ll gather, analyse, and present data from multiple sources. You’ll also model and consolidate data from various systems to gain valuable market insights.
The ideal candidate should demonstrate the following:
- A proven track record in data analytics (preferably within the Microsoft stack)
- Strong analytical, visualisation, and data interpretation abilities
- Knowledge of data analytics tools and techniquesCapacity to scope projects and engage all stakeholders to follow through to completion
- Exceptional problem-solving abilities and communication skills
- Familiarity with Power BI and SQL
This autonomous role is perfect for someone looking to grow and thrive in an interesting and ever-evolving industry. As the sole Data Analyst, you will have the opportunity to expand your skill set while working on interesting projects.
In addition, the successful candidate will receive the following benefits:
- Competitive Salary
- Flexi-time schedule (from Monday to Friday)
- Opportunities for career progression
- Company pension plan
Job Types: Full-time, Permanent
Salary: £30,000.00-£40,000.00 per year
Benefits:
- Company pension
- Flexitime
Schedule:
- Flexitime
- Monday to Friday
Ability to commute/relocate:
- Stoke-on-Trent, ST1 5PA: reliably commute or plan to relocate before starting work (required)
Application question(s):
- Are you located within commuting distance of Stoke-On-Trent?
Experience:
- Data analysis: 2 years (required)
Work authorisation:
- United Kingdom (required)
Work Location: In person
Reference ID: Data Analyst/SLH