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Data analyst

Morley
Permanent
Evri
Data analyst
Posted: 17 July
Offer description

We have a great opportunity to join us as a Data Analyst. In this exciting opportunity you’ll use your passion for data and analytics to deliver and improve our processes, directly contributing to business goals and enhancing our customers' experience. You’ll be part of a dynamic, collaborative team known for its innovative problem-solving and commitment to continuous learning.

This is a great time to be joining us! We are growing year on year, with ambitious plans for future growth and we would love to give you the opportunity to grow with us!

Interested? Take a look at the below to understand what you'll be doing in your role as a Data Analyst at Evri!

1. Building and maintaining analytical models across various software & approaches
2. Delivering accurate reporting on a weekly/monthly basis across all Commercial areas and presenting actionable insights to a wide audience
3. Supporting with ad hoc queries and external team process improvements
4. Simplifying, manipulating & presenting large volumes of complex data
5. Ensuring that underlying data has been validated and is of the highest quality
6. Proactively creating compelling actionable insights from the base data, models & reports
7. Working with stakeholders to maximise the value derived from your reports and insight

Still interested? Great news!

We are looking for:

8. A degree (BSc/or equivalent) in a numerate subject such as Analysis, Data Science, or Maths with specific analytical qualifications is essential
9. Previous experience as a Data Analyst or similar role is preferred
10. Experience in Databricks would be highly desired but is not required
11. The right candidate will likely only have some of the following technical skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python / Excel / VBA / SQL / Databricks / Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle / SAP Hana / AWS).

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