A data analyst collects, organises and studies data to provide business insight.
The role needs a mix of technical, business and interpersonal skills to analyse and solve problems. They also happen to be highly sought-after - The Open University’s 2021 Future Trends Predictor included Data Analyst in its top ten most in-demand jobs over the next five years.
Data analysts work across all industries in a variety of functions. Whist the business problems differ, the same analytical skills are used for fraud detection, drug trials, marketing campaigns or financial services. An organisation’s data is now valued as a strategic asset. Understanding, managing, analysing, and exploiting the rivers of information is the foundation of the new Digital Economy and analytical skills are at the heart of coordinating the data assets in order to derive value.
There's not a definitive job description when it comes to a data scientist role. But here are a few things you'll likely be doing alongside colleagues in a data science team:
Collecting large amounts of unruly data and transforming it into a more usable format.
Undertaking data quality, assurance and validation.
Solving business-related problems using data-driven techniques.
Interpreting requirements and presenting data in a clear and compelling way, using graphical representations and data visualisations.
Working with a variety of software packages and programming languages, such as SAS, R and Python.
Proven IT, analytical and mathematical skills.
Communicating both verbally and in writing whilst collaborating with IT and business.
Discovering insights in data and spotting trends that can help a business’s bottom line.
This 16 week programme provides the core Data Analyst skills that are in high demand by employers. Over 110 hours the self-guided lessons present the key skills of data preparation, data discovery and report creation using world leading SAS software.
Consideration is given to the interpersonal and communications skills from project management and teamwork to presenting your data analysis findings with a non-technical audience.
For the duration of the programme, you should expect to spend a minimum of one hour per day to complete the course materials.
What experience do I need to complete the free SAS STEP Data Analytics course?
The Data Analyst learning pathway is ideally suited for anyone currently unemployed with any of the following level of qualifications:
GCSE in Maths (or equivalent)
NVQ level 3
Key skills level 3
QCF level 3
RQF level 3
Certificate of Higher Education
Diploma of Higher Education
The key to a data-driven culture within the modern workplace starts here…