![]() ![]() □ RELATED READING: Data Analysts: Who are they and What do they do? ![]() As stated in the IfA Data Analyst Standards “Data Analysts are typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data.” ![]() In essence, the primary role of a Data Analyst is to collect, organise and study data to provide business insights. What are Data Analysts and Data Scientists? The Data Analyst In this article, we draw upon IFA standards to highlight the difference between both roles and explain how you can make use of training programmes to address critical skill gaps in your organisation. The good news is that there are clear industry standards published by the Institute of Apprenticeships (IfA) outlining the required skills for a Data Analyst and Data Scientist. However, if you or your workforce are seeking to upskill in data science and analytics and are new to the field, it can be difficult to know the difference between both roles. The 2021 Global Talent Competitiveness Index notes that "growing talent has traditionally meant education, but its definition should be broadened to include apprenticeships, training,Īnd continuous education as well as experience and access to growth opportunities." The solution to the growing demand for data science capabilities?Ĭompanies can make use of internal Data Science training schemes and career development programmes (apprenticeships) to both upskill their workforces and develop new talent. These rapid technological advances and business benefits have led to a growing demand for Data Analyst and Data Science skills yet the need for individuals to fill positions as Data Analysts and Data Scientists is so huge it exceeds the current supply. The market size has already grown significantly from $206.95 billion in 2020 to $231.43 billion in 2021. Big Data and Business Analytics revenues are forecast to reach $ 549.73 billion by 2028. These are just four examples, new AI-powered applications and Data Science use cases are emerging across industries. Employees with these backgrounds are highly sort after and valued in our organisation as they are specialist in their fields and highly sought after in the market/industry we work in.Data Science and AI technologies are already having a major impact on business and society - from early and accurate diagnosis of medical problems, to building cost-effective operations, providing more accurate fraud detection and self-driving cars. Careers in both of these areas can offer so much diversity - there are many different opportunities in our organisation and industry for students with these backgrounds to explore, and many opportunities to progress quickly to senior expert and manager roles. ![]() What advice would you give to high school students considering the Co-op Program and a career in the field you work in?īe open to exploring the areas of Information Technology and Actuarial. #Calibre systems data scientist trial#The program is founded on a robust and effective selection process, the program offers students the opportunity to test and trial a variety of corporate environments and industries so they are well placed to make decisions about their careers associated with their strengths and interests. In your opinion, what advantage does the UNSW Co-op Program offer its Scholars in their career development? She was able to contribute so much during her placement with us that we hired her back as a business analyst in our Enterprise Program Office team in her final year of studies. Zoe Diamond joined us as a co-op student in our Finance team. Please describe a highlight working with a UNSW Co-op Scholar? We not only love working with the UNSW co-op program team but the program seems to be leading the way in developing top talent and well rounded students ready for exciting corporate careers. We believe the students that study at UNSW are of an extremely high calibre. ![]()
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