Business Commercial Performance Analyst

Κωδικός Θέσης : BCPA01
Ημερομηνία ανάρτησης αγγελίας : 16/11/2021

Nova, the company that introduced internet and pay-tv in Greece is seeking a Business Commercial Performance Analyst to cover the following opening in Athens, Greece.

Business Commercial Performance Analyst  (Athens) 

The Corporate Business Unit serves corporations with products and solutions that strengthen their infrastructure for operational excellence and enhance technological value propositions for their customers.

This is a great opportunity for high-caliber Analysts to become a member of our growing team, focused on delivering exceptional value to our Corporate Customers, leveraging innovative technologies, leading their digital transformation, and exploring their potential.

 Ref. Code: BCPA/001

The main responsibilities of the position include:

  • Connect data streams from multiple systems and create a repository of knowledge for a single view across valuable metrics related to market, sales, products, delivery, and operations
  • Analyze data to produce and visualize KPIs that enhance operational excellence and support decision making
  • Design and execute performance management processes through regular reporting cycles, as well as ad-hoc reporting requests
  • Incorporate external intelligence into an internal information warehouse

Core Competencies

  • BSc in Finance, Mathematics, Statistics or Computer Science
  • Solid communication skills both in written form and presentations with ability to interact with stakeholders of both business and technical backgrounds
  • Problem-solving attitude in a fast-paced environment
  • Monitor competition & market development in the related sectors
  • Versed in both attention to detail and high-level view in parallel and for multiple concurrent complex issues

Technical professional qualifications:

  • 3+ years experience in a role with strong numeracy and data/business analysis skills
  • Technical skills, experience:
  • Strong Excel
  • PL/SQL environment
  • Python and it’s library skills or other programming languages
  • Common data science toolkits (SPSS, IBM modeler, SAS)
  • Data visualization tools (Power BI, Tableau, Qlik Sense)

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