Data analysis course: the most demanding career in the upcoming years

Overview:

If an individual is highly analytical, has strong mathematical skills and is curious and inquisitive at the same time, then he/she is perfectly suited for a career in data analytics.

The ability of being able to pay attention to details, communicating properly as well as being highly organized are absolutely essential skills to pursue a career in data analytics. The requirement is not only to understand the data, but also being able to provide analysis and insight through clear, written, visual and verbal communication.

Types of data analysts:

An individual working as a data analyst can be working across a wide range of areas such as the following:

• Data assurance
• Business intelligence
• Data quality
• Finance
• Marketing
• Sales
• Higher education

Responsibilities:

While working as a data analyst, the individual would have to undertake the following duties and responsibilities:

• Identifying the areas for the purpose of increasing the efficiency and the automation of processes.
• Setting up and maintaining automated data processes.
• Identifying, evaluating as well as implementing external tools and services for the purpose of supporting cleansing and data validation.
• Producing and tracking key performance indicators.
• Developing and supporting key performance indicators.
• Developing and supporting reporting processes.
• Developing records management procedures and policies.
• Monitoring and auditing data quality.
• Gathering, understanding and documenting the detailed business requirements by using appropriate tools.
• Designing and carrying out surveys and analyzing the survey data.
• Manipulating, analyzing and interpreting complex sets of data, related to the business of the employer.
• Preparing reports for the external and internal audience by the use of business analytical reporting tools.
• Creating graphs, dashboards and visualizations.
• Providing competitor and sector benchmarking.
• Analyzing and mining large sets of data, drawing valid influences and presenting them successfully to the management with the use of a reporting tool.

Salary:

• The salary of employees at the entry level ranges in between $25,000 to $30,000. The graduate schemes in business intelligence and data analysis in bigger companies generally offer higher starting salaries ranging from $30,000 to $35,000.
• Just with a few years of experience, the salaries of data analysts can rise, ranging in between $35,000 to $40,000.
• Experienced and high-level consulting jobs might command $60,000 or more.

The benefits might include company pension schemes, discretionary bonuses and private medical insurance.

Qualifications:

Often a first degree is required. However, this condition is not always valid. However, certain degrees in the relevant discipline might be helpful, such as:

• Computer science
• Business information systems
• Economics
• Mathematics
• Information management
• Statistics

What to expect:

• The roles of a data analyst are usually office-based. However, consulting roles might involve travel.

• The data analysts have to work for all kinds of employers and thus the office culture and dress code would vary depending on the employer one works under.

• Data analysts have to work with complex systems which require attention to detail and a very high level of focus and concentration.

• Data analysts need to have excellent communication skills for the purpose of interpreting client requirements and presenting data in a compelling and clear procedure.

Resource box:

People can pursue a career in data analytics with any kind of degree if they possess the relevant skills and requirements for filling the respective posts. Postgraduate degrees in the field of data science are getting more popular day-by-day.

• Click here to know more about data analytics course
• Click here to know more about data science course

Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral50470 Kuala Lumpur, Malaysia

phone no: 011-3799 1378

Youtube: https://youtu.be/HefqcEdceU0

360DigiTmg offers a range of courses in big data analytics, machine learning, data science, artificial intelligence, deep learning, internet of things, robotic process automation, Amazon Web Services (cloud computing).