Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who ha…
Data and AI Analyst
Skills & Technologies
Job Description
Robert Half is excited to be exclusively partnering with a well-established organisation in Tetbury to recruit for a newly created Data and AI Analyst role. This permanent position offers a salary of up to £40,000 and hybrid working, with 2-3 days per week in the Tetbury office.
This is a key role supporting the business during a pivotal stage of its digital modernisation journey. You will be responsible for enabling commercial and operational decision-making through insightful data analysis and reporting. The successful candidate will also play a central role in helping the business adopt AI solutions and implement best practices around AI.
Key Responsibilities
Produce effective data analysis of sales, aftersales and service performance
Identify data trends, risks and opportunities
Develop and maintain dashboards using Power BI, Excel
Support build of ad-hoc reports, partner with stakeholders to understand reporting requirements
Provide accurate commercial insights
Automate reports using Python
About You
Experience in Data Analysis
Strong Power BI, SQL and Excel skills
Ability to interpret data, provide actionable insights
Passion for AI and some Python experience would be beneficial
Ability to communicate with different stakeholders
On Offer
Salary up to £40,000, plus hybrid working (2-3 days a week in the office) plus competitive benefits!
Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
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