Data Analyst
The Ivy
Charing Cross, United Kingdom
14 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Charing Cross, United Kingdom
Tech stack
Microsoft Excel
Data Visualization
Python
NumPy
Power BI
SQL Databases
IBM Cognos TM1
Snowflake
Powerquery
Pandas
Matplotlib
Job description
- Accelerate reporting automation and expand our Power BI suite to make insight faster and more accessible.
- Become an expert user of TM1,SQL and Snowflake supporting continuous improvement in data and reporting processes.
- Be proactive,commercial and innovative,always pushing for better.
Requirements
Do you have experience in SQL?, * Experience in a hospitality or multi-site environment
- Advanced Excel for modelling; comfortable with large,complex datasets
- Advanced knowledge of building Power BI dashboards and working with Snowflake,SQL,Power Query
- Proficiency in Python,specifically experience with core data analysis libraries such as pandas,NumPy,and visualization tools like matplotlib or seabor
Benefits & conditions
Competitive Salary, * 50% discount for you and up to 3 friends when you dine in our restaurants.
- 30% discount in the wider group restaurants.
- Competitive Industry pay
- Celebrate career anniversaries,with a gift voucher to dine in our restaurants.
- Career Development and Training,including Apprenticeships.
- Extra holiday allowance for length of service,up to 5 extra days after 5 years.
- Access to discounts on 100s of retailers,health,entertainment,travel & more.
About the company
The Ivy Collection is a group of 61 restaurants across the UK and Ireland,including Ivy Brasseries,Ivy Asias,Harry's Restaurants,Brasserie of Light and the original Ivy West Street (established in 1917).
Our iconic restaurants are celebrated for exceptional food,outstanding service,and the creation of unforgettable moments.
We have an excellent opportunity for a Data Analyst to join the team as the Ivy brand continues to grow and expand.
The successful candidate will move quickly from data to decisions,collaborating with teams across the business to drive sales growth and EBITDA improvement as we continue to expand.