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