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Telecom Data Expert

Dauer: 3-4 months with a possiblity to be extended

Region: Dubai, UAE

Modus: Remote/On-site

Honorar: TBD

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Beschreibung
Our client, a large telecommunications company based in UAE, is building a new set of IT services and is looking for several Telecom Data Experts to join their project.

Start date is ASAP and the initial duration is until September. There is a possibility that the contract will be extended and or/ the expert will be offered a permanent role later on.

Our client is looking for Telecom Data Experts with experience B2B and B2C.  
  • The B2C Telecom Data Expert is expected to have experience with managing mass data cleansing (DW)
  • The B2B Telecom Data Expert is expected to be into extracting, cleansing data from multiple sources (BI- data extraction from multiple sources for different client services)

There will be 2 phases of the project that will have the following tasks:
  • Capabilities and phasing
  • Product simplification & target portfolio
  • Coexistence & customer transfer
  • Data cleansing
  • Listing of business KPIs and mapping to customer journeys & channel mix

The Telecom Data Experts will support program core team members with:
  • Documentation of principles for data cleansing
  • Identification of existing data sources & relation (customer, plan, service, billing …)
  • Data extraction (to understand customer, product, service relation)
  • Customer data analysis to support decision making
  • Identification of existing data issues (completeness, integrity…)
  • Segments, details of proposed migration approach
  • Detailed steps for customer data enrichment/correction (i.e. how to create a customer view and not a contract view)
Beruflicher Werdegang

  • Understanding of data sources from a Telecom perspective (CRM, Billing, Product Catalogue etc.)
  • Understanding of data structures and models for standard platforms/technologies (Oracle RDB, SQL, Teradata etc.)
  • Able to write scripts for data extraction, data cleansing, integrity checks etc.
  • Able to support data-driven decision making with respect to products rationalization, customer segments/rationalization, data analysis etc.

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