A Telecommunications Data Analyst is a professional who collects, organises, and interprets data related to telecommunications networks. They help telecom companies make decisions by understanding data trends, improving network efficiency, identifying potential problems, and informing strategy with regard to network expansion, upgrades, and customer service.
Data Analyst
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Entry-level QualificationsEntry-level Qualifications
A-Level in Mathematics, Computer Science, or a related field
A foundation in IT skills such as databases, data structures, programming (Python, SQL, etc.)
Familiarity with telecommunications industry is advantageous but not mandatory for entry-level positions
Strong analytical and problem-solving skills
Good communication and teamwork abilities
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Career Path & ApprenticeshipsCareer Path & Apprenticeships
Apprenticeship Route: Apprenticeships in Data Analysis or Telecommunications can be a great start. For instance, a Level 4 Data Analyst apprenticeship or a Level 3 Telecoms Technician apprenticeship. To find an apprenticeship, visit the Institute for Apprenticeships.
University Route: A Bachelor's degree in Data Science, Computer Science, Telecommunications, Statistics or a related field. Following this, a Master's degree in a more specialised field, such as Data Analytics or Telecommunications, can be beneficial.
Following entry-level roles such as Junior Data Analyst or Telecoms Analyst, progression can be made to a Senior Data Analyst role, Data Science positions, or into managerial roles within the telecommunications industry.
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Starting Salary & Potential EarningsStarting Salary & Potential Earnings
The starting salary for a Telecommunications Data Analyst in the UK typically ranges from £25,000 - £30,000.
With experience, salaries can increase to between £40,000 and £60,000.
Senior or specialist roles can command salaries above £70,000.
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Further InformationFurther Information
Telecommunications Data Analysts work in a rapidly changing field, which requires continuous learning and adaptation.
They can work for a range of companies, from telecom providers to consulting firms.
The role often involves team collaboration and can also involve liaising with clients or stakeholders.
Some roles may require security clearance, due to the sensitive nature of the data being handled.
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Resources
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Entry-level QualificationsEntry-level Qualifications
A-Level in Mathematics, Computer Science, or a related field
A foundation in IT skills such as databases, data structures, programming (Python, SQL, etc.)
Familiarity with telecommunications industry is advantageous but not mandatory for entry-level positions
Strong analytical and problem-solving skills
Good communication and teamwork abilities
-
Career Path & ApprenticeshipsCareer Path & Apprenticeships
Apprenticeship Route: Apprenticeships in Data Analysis or Telecommunications can be a great start. For instance, a Level 4 Data Analyst apprenticeship or a Level 3 Telecoms Technician apprenticeship. To find an apprenticeship, visit the Institute for Apprenticeships.
University Route: A Bachelor's degree in Data Science, Computer Science, Telecommunications, Statistics or a related field. Following this, a Master's degree in a more specialised field, such as Data Analytics or Telecommunications, can be beneficial.
Following entry-level roles such as Junior Data Analyst or Telecoms Analyst, progression can be made to a Senior Data Analyst role, Data Science positions, or into managerial roles within the telecommunications industry.
-
Starting Salary & Potential EarningsStarting Salary & Potential Earnings
The starting salary for a Telecommunications Data Analyst in the UK typically ranges from £25,000 - £30,000.
With experience, salaries can increase to between £40,000 and £60,000.
Senior or specialist roles can command salaries above £70,000.
-
Further InformationFurther Information
Telecommunications Data Analysts work in a rapidly changing field, which requires continuous learning and adaptation.
They can work for a range of companies, from telecom providers to consulting firms.
The role often involves team collaboration and can also involve liaising with clients or stakeholders.
Some roles may require security clearance, due to the sensitive nature of the data being handled.
-
Resources