Having the necessary Data Analytics Skills is essential for securing desired positions in the field of data analytics in today’s fast-paced business environment. Professionals with these skills are in high demand as businesses continue to leverage data to inform strategic decisions and gain a competitive edge.
In this article, we examine the in-demand Data Analytics Skills that can lead to a prosperous career in this fast-paced industry in 2024.
We can help you in mastering these skills, especially the technical skills. Our Data Analytics certification course is a hands-on training covering all the skills. Most importantly, the course includes case studies and real-life projects to get you practical experience and make you confident.
We also offer a variety of courses at TechCanvass which can help you achieve your goals. Here’s a list of our courses to explore:
- Data Analytics Fundamentals Course
- IIBA CBDA Preparation Training
- Data Visualization Training in Tableau
- Power BI Training
Skills for Data Analytics Professionals
LinkedIn’s 2024 Most In-Demand Skills list and The CompTIA research list data analytics as one of the top 10 in-demand skills in 2024. Let’s have a detailed look at the technical and soft skills needed to enter and succeed in the data analytics field.
Technical Skills for data analysts
1. SQL
The standard language used to communicate with databases is Structured Query Language, which is also called SQL. This means that if you know SQL, you can manipulate data in relational databases by updating, ordering, and querying them as well as modifying (schema) the database structures.
For most people looking to analyze data for companies using their databases, familiarity with SQL is crucial; it’s likely the first skill they will want to learn before getting hired. Many companies often screen candidates on their Data Analytics Skills related to SQL during interviews for Data Analyst positions.
A bright side though is that learning this language is relatively easy. So if you are ready to learn SQL, Techcanvass has a perfect offering, which is the fundamental course on SQL. The course covers SQL basics, simple Joins including Outer and Inner joins, SQL functions, and much more. The objective of the course is to make you learn and understand the Basics of SQL efficiently with hands-on practice sessions.
2. Python and R
Data Analytics Skills include proficiency in programming languages such as Python or R, which enable individuals to perform complex analyses and apply algorithms. Programming in these languages allows for more efficient cleaning, analyzing, and visualizing of large datasets.
Both are open source and it’s a good idea to learn at least one of them. Arguably, there is a debate about which language suits data analysis better. Both languages can do similar data science tasks. The design of R was for analytics alone while Python is more general and usually easier to learn especially if it is your maiden language.
3. Probability and Statistics
Mathematical science, the gathering, analysis, interpretation, and presentation of data is referred to as statistics. It is something that sounds like the kind of thing a data analyst does.
You can employ the concepts of probability and statistics to:
- Detect patterns in data.
- Avoid bias, fallacy, and logical error while analyzing it.
- Give precise and reliable outcomes.
4. Data Management
Data Analytics Skills encompass data management, which involves collecting, organizing, and efficiently storing data with security considerations and within budget constraints. While this may include roles such as data architects, data engineers, database administrators, or information security analysts in some companies’ organizational charts, it often falls under the purview of the data analyst themselves.
Different firms have different systems that they use to manage their data. Having a general understanding of how databases work in physical as well as cloud environments can be beneficial when developing your abilities.
5. Data Visualization
Data Analytics Skills involve not only drawing insights from data but also utilizing these insights to foster a better understanding for making informed business decisions. A crucial aspect of this process is data visualization. As a Data Analyst, you can use charts, graphs, maps, and other visual representations of data to effectively communicate your findings.
Therefore, learning visualization software such as Tableau or Power BI can enhance your abilities as a Data Analyst.
Are you looking to learn Tableau or Power BI? We bring to you the Tableau fundamentals course and Microsoft Power BI Certification course.
6. Artificial Intelligence and Machine Learning
The World Economic Forum Future of Jobs 2023 (Page number 6, second column) report states that “AI and machine learning specialists top the list of fast-growing jobs.”
Data science has seen Artificial intelligence and machine learning as two of the biggest trends. The skills involve coming up with algorithms that allow big data sets to uncover patterns over time while improving their degree of precision.
Explore – What is artificial intelligence? And What is machine learning?
Not all Data Analysts have to be Machine Learning experts though. However, you could gain an edge among your peers by developing those capabilities and setting your sights on becoming a data scientist later in life.
7. Econometrics
In econometrics, analysts employ statistical and mathematical models based on historical economic information that helps them predict future trends. Knowledge in econometrics assists financial sector job seekers especially those within investment banking and hedge funds who are also interested in Data Analyst positions.
Soft Skills for Data Analysts
LinkedIn’s 2024 Most In-Demand Skills list includes the following skills as three of the most
8. Problem Solving
We are living in a world characterized by innovation, AI, new tech trends, and ever-increasing customer demand. In this environment, leaders, strategists, and employees will be expected to demonstrate strong Data Analytics Skills to address and solve problems more effectively than ever before.
Problem solving is a five-step process. The steps are:
- Define the problem.
- Generate ideas.
- Evaluate and select solution(s)
- Implement
- Evaluate and improve.
Having the ability to solve problems using critical thinking and analytical reasoning is a skill to master.
9. Communication
Data Analytics Skills emphasize that communication is key to solving problems. Effectively helping clients understand and identify the root cause of issues, beyond just the symptoms, can be achieved through strong communication. Additionally, effective communication is crucial in assisting clients to translate complex trends and data into actionable insights.
Communication skill is about the verbal skills alone or how good you are in verbal communication? So, what does communication skills mean? Communication skills include the following skills:
- Active listening
- Adaptability based on stakeholders
- Confidence
- Presentation Skills
- Giving and receiving feedback
- Empathy
- Respect
10. Teamwork
The Success of any initiative depends on teamwork. Teamwork is all about a group of people working together to achieve a common goal, small or big.
Teams are made up of human beings and making teamwork towards a common goal is key. As a Data Analyst, you should strive towards achieving the optimum teamwork.
How do you identify if you are working with a great team? Here are a few characteristics:
- There is clarity and fairness in decision-making.
- Team members feel free to share ideas or share their feedback
- Mistakes are not treated as disasters, if not often repeated. Rather these are treated as humane.
- Team members are willing to help each other, whenever needed or whenever they can.
Summing it up
In conclusion, mastering the in-demand Data Analytics Skills outlined in this article is crucial for anyone aspiring to excel in the field of data analytics in 2024 and beyond. By honing your technical abilities, such as data analysis and machine learning, and cultivating soft skills like communication and problem-solving, you can differentiate yourself as an asset to any organization.
