What is a Data Analytics Manager?
Data Analytics Managers are the leadership figures at the forefront of data engineering, gathering and handling, analysis, cleaning and presentation. Their role is an essential executive level position that aims to provide valuable information to help enterprises make better and more informed business decisions.
Data analytics managers are in high demand as the global work and commerce space turns digital, and as business operations revolve more and more around data, and the impact of that data, data analytics managers will be relied on more and more to drive forward business improvements and impact operations.
Data analytics managers are executive level employees, who, in larger companies, will tend to have teams of data analysis assigned to them to manage. However, in smaller companies or start-ups, data analysis managers or supervisors will have fluid roles that run the entire gamut of data analysis, visualisation, engineering and presentation.
Interpreting data, and understanding the importance of data in the context of the enterprise you’re working in, is the core tenet of the role. As we discuss below, data analytics managers need to be calm and collected, highly skilled, fast-working and clear communicators. They need to be confident with reporting the findings of data, and making sure key business decisions are backed up with requisite, understood, data.
Data analytics managers require a base education at degree level that compliments the day-to-day role of a Data Analyst, such as a Bachelor’s degree in analytics, computer science, economics, information management or similar.
To succeed in this sort of data-heavy management role, successful applicants will also need higher levels of qualifications (such as a Masters degree) in business administration, management, data or software development, with a strong focus on data modelling and analysis techniques.
Certifications in any of the following are generally perceived as attractive for data analytics managers:
● Microsoft Certified: Data Analyst Associate
● Microsoft Certified Azure Data Scientist Associate
● Google Data Analytics Certificate
● Cloudera Certified Associate Data Analyst
● Associate Certified Analytics Professional
● Certified Analytics Professional (CAP)
● Springboard Data Analytics Certification
● Certification of Professional Achievement in Data Sciences
● IBM Data Science Professional Certificate
● Open Certified Data Scientist
You will require competencies in the following programming languages and data analysis tools:
● Structured Query Language (SQL)
● Experience with Python, C, C++, JAVA, or other programming languages
● Experience with big data tools and testing tools
● Regression analysis
● Data optimisation
● Data Engineering
● Data Visualisation
● Experience with SAS code statements,
● Experience with statistical modelling techniques such as logistic regression, log-linear regression, variable selection, and more.
Securing work experience as a data analyst at any mid- or large-sized firm will set you on your way to becoming a data analytics manager.
The vast array of companies that now require effective data analysis is growing exponentially every year, so the ball is very much in your court if you have an interest in exploring this career path.
To step into a managerial role, data analysts will have to apply their time and effort to shadowing other data analytics managers at work, and gain frontline experience in executive decision-making within the field of data management.
More established employers will have an internship scheme to attract young or reskilling workers who are interested in becoming a data analyst and stepping, perhaps, into a managerial level role in future.
These employers range from governmental bodies to banks, ecommerce companies to marketing agencies. With such a renewed focus on STEM teaching and the importance of creating a tech-proficient younger generation, many companies are offering viable internships that are more inclusive and easy to succeed in than ever before.
What skills are needed to succeed as a Data Analytics Manager?
The balance between the core understanding of data, the power of that data to change the trajectory of a company, and the management of people in such a high pressure environment, lies at the very heart of the role of a data analytics manager.
As such, you have to be skilled not only at data analysis, engineering, visualising and analysis, but also able to drive your team to meet the demands of a data-rich digital world, managing the expectations of your team and your co-managers, whilst delivering impactful data to help execute business decisions. It’s a hard, but incredibly rewarding role, for the right person.
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