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Associate Data Analyst

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Role area:
CEO Europe Online
Contract type:
Full Time
Cluj - Napoca
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Role Overview/Purpose:

The Data Analyst will act as a key member of the BI team to drive the democratisation of consistent data within the business. Responsibilities include the development, maintenance and distribution of information and reports to a large and diverse audience across the marketing and commercial functions of the business/

Prerequisites for the role include strong attention to detail, a proven ability to translate business requirements into queries against the data warehouse feeding impactful reports, and a record of delivery against a fast moving backlog of priorities. The role will also be responsible for the training of wider PPB employees to increase self-serve use of our data.

Key Responsibilities

Understanding of where in the data warehouse to source data to accurately answer business questions

Working closely with stakeholders to define report requirements and understand the underlying objective they are trying to accomplish

Identify gaps or inaccuracies in data and raise with the data team to prioritise fixing

Build and maintain accurate and impactful reporting built to best practise data and visualisation approaches for the platform used

Ensure consistency in all data sources and data definitions used in reporting across the business through QA processes and reconciliation between reporting

Behavioural Competencies

  • Strategic Mind-set: takes a long term view and anticipates future trends and implications
  • Business Insights: has a nose for business, uses insights to impact commercial drivers
  • Drives Results: extremely motivated and achieves results that impact the bottom line with high levels of energy and enthusiasm
  • Collaborates: is a team player – works with others across the organisation to get things done
  • Customer focus: Thinks about customers 24/7, and puts them at the heart of all that we do

Technical Competencies

  • Technical proficiency with;

i. SQL (MSSQL / Oracle / Redshift)

ii. Data visualisation software (e.g. Tableau / Qlikview / SSRS)

iii. Software packages used for statistical analysis an advantage (e.g. R / SPSS)

  • Previous experience as an analyst in a high volume, data-rich, complex online business, including excellent understanding of data and analytical technical infrastructure
  • Naturally inquisitive mind-set: wants to understand behaviour, look for patterns, find great things