Data Analyst - Global E-Commerce - Manchester

Job description

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.


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

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