Data Analyst - Global E-Commerce - Manchester

Job Description

Data Analyst in Global E-Commerce Industry - Manchester

Are you looking to use your Data Analyst skills in a GLBOAL / TOP E-Commerce enterprise, who have won insane awards, year on year for their investment into their people.

All you need is a track record in handling data. Have the ability to interpret data and develop strategies.

INTERVIEWING NOW - APPLY IMMEDIATELY FOR CONSIDERATION - TOP 100

Some of the Benefits Include:

• Salary up to £40,000
• 33 days holiday
• Over 75% discount on company products
• Working with global companies
• Working in a modern office in the heart of Manchester
• Socials, pool tables, dart boards and breakout space
  

What you will be doing:

• Collecting and analysing large data sets from a variety of sources, to identify trends and patterns.
• Providing recommendations to help the organisation make better business decisions.
• Developing dashboards and reports to track key performance indicators.
• Working with stakeholders to identify areas of improvement and develop action plans.
• Keeping up to date with the latest technologies to ensure the organisation remains competitive.
• Ensuring data is accurate and up to date.
  

So, The Skills…

• Knowledge of data analysis and data manipulation tools (e.g. SQL, Python)
• Data visualisation techniques and tools, such as Microsoft PowerBI
• Experience working with large datasets.
• Experience with the ELT/ETL Process and Software
• Excellent communication and interpersonal skills
• Strong organisational and time management skills
  

It's a bonus if you have:

• Snowflake
• Matillion/Azure/Fivetran
• Professional experience using ERP systems.
• Google Analytics or Shopify
  

The successful new team member will receive a starting salary of £35,000-£40,000 (with regular increases) +33 days holiday, 75% discounts, and the opportunity to work in a dynamic and fast-growing environment.

If you believe you are the right candidate for this role and would like to be considered for immediate interview, please apply now for more details.

Keywords: Data Analyst, Analytics, Data Science, E-Commerce, SQL, Python, Tableau, Machine Learning, Predictive Modelling