Data Analyst


    Data analysts collect, organize and interpret statistical information to make it useful for a range of businesses and organizations.

    A career as a data analyst will suit you if you are highly analytical, have strong mathematical skills, and are curious and inquisitive.

    The ability to pay attention to detail, communicate well and be highly organized are essential skills for data analysts. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.


    Types of Data Analysts

    You can work across a broad range of areas, including:

    • business intelligence
    • data assurance
    • data quality
    • finance
    • higher education
    • marketing
    • sales.


    Employers of Data Analysts

    Employers of data analysts include the following:

    • higher education institutions
    • banks
    • retail companies
    • professional services firms
    • insurance companies
    • marketing firms
    • pharmaceutical companies
    • telecommunications companies
    • information technology firms
    • government, including Civil Service
    • the media.



    • develop records management processes and policies
    • identify areas to increase efficiency and automation of processes
    • set up and maintain automated data processes
    • identify, evaluate and implement external services and tools to support data validation and cleansing
    • produce and track key performance indicators
    • develop and support reporting processes
    • monitor and audit data quality
    • liaise with internal and external clients to fully understand data content
    • gather, understand and document detailed business requirements using appropriate tools and techniques
    • design and carry out surveys and analyze survey data
    • manipulate, analyze and interpret complex data sets relating to the employer’s business
    • prepare reports for internal and external audiences using business analytics reporting tools
    • create data dashboards, graphs and visualizations
    • provide sector and competitor bench-marking
    • mine and analyze large data-sets, draw valid inferences and present them successfully to management using a reporting tool.



    For graduates, the usual entry point is a degree in statistics, mathematics or a related subject involving maths, such as economics or data science.

    A degree in a relevant discipline, such as the following, may help:

    • business information systems
    • computer science
    • economics
    • information management
    • mathematics
    • statistics.



    • A high level of mathematical ability
    • Programming languages, such as SQL, Oracle and Python
    • The ability to analyze, model and interpret data
    • Problem-solving skills
    • A methodical and logical approach
    • The ability to plan work and meet deadlines
    • Accuracy and attention to detail
    • Interpersonal skills
    • Team-working skills
    • Written and verbal communication skills