Data Analyst
Job Info
Gathers, analyses, and interprets large volumes of data to provide actionable insights that contribute to strategic decision-making and operational improvements. This includes identifying trends, patterns, and anomalies in telecom data, creating reports, and presenting findings to support key business objectives.
Responsibilities
Develop and enforce records management processes.
Find ways to improve efficiency and automate processes.
Set up and maintain automated data systems.
Evaluate and implement external tools for data validation.
Track key performance indicators.
Support reporting processes.
Monitor data quality.
Communicate with clients where necessary to understand data needs.
Document business requirements.
Design and analyse surveys.
Analyse complex data sets.
Create reports and dashboards.
Provide benchmarking analysis.
Analyse large datasets and present findings.
Skills & Knowledge
Ability to analyse large datasets, identify trends, and derive meaningful insights.
Proficiency in working with numbers, statistics, and mathematical concepts.
Knowledge of data analysis tools such as Excel, SQL, Python, R, and familiarity with databases like MySQL, PostgreSQL, or MongoDB.
Capability to create visual representations of data using tools like Tableau, Power BI, or matplotlib in Python. Problem-Solving - Aptitude for identifying issues within datasets and devising effective solutions.
Capacity to evaluate data validity, assess its relevance, and make informed decisions based on analysis.
Ability to articulate findings clearly to both technical and non-technical stakeholders through reports, presentations, and visualisations.
Precision in data cleaning, validation, and ensuring accuracy throughout the analysis process.
Understanding of the industry including relevant terminology, processes, and challenges.
Eagerness to explore new techniques, tools, and methodologies to enhance data analysis capabilities.
Career Progression
Entry-Level Data Analyst - Junior Data Analyst - Senior Data Analyst - Lead Data Analyst - Data Analytics Manager - Data Scientist (Optional) - Head of Data Analytics - Director of Data Science - Chief Data Officer
Qualification Pathways
If you are looking to transfer into this role from a related role in the industry, leverage your existing experience and skills in the industry to identify transferable skills that align with a Data Analyst Role. Highlight these transferable skills on your CV and in interviews to demonstrate your suitability for positions within the sector.
If you are new to industry, follow these routes:
Step 1: Source an Apprenticeship with an organisation in a Data related role: Level 3 Data Technician, Level 4 Data Analyst, Level 4 Intelligence Analyst, Level 4 Business Analyst OR Obtain a bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
Step 2: Gain proficiency in programming languages like Python, R, SQL, and data analysis tools such as Excel, Tableau, or Power BI.
Step 3: If following a University route, seek an internship or graduate programme to acquire practical experience in data analysis.
Step 4: Consider obtaining further specialise certifications or a Master's degree in Data Science or Business Analytics.
Step 5: Build a portfolio showcasing data analysis projects.
Step 6: Network with professionals in the field and stay updated on industry trends.
Step 7: Consider upskilling using an apprenticeship such as the Level 7 Digital Technology Solutions (Data Analytics).
Step 8: Commit to continued learning.
Step 9: After 10 years of service, you are eligible to apply for Fellowship of The Institute of Telecommunications Professionals (ITP).
Other Info
Relevant Apprenticeships:
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-technician-v1-0
https://www.instituteforapprenticeships.org/apprenticeship-standards/data-analyst-v1-1