In this blog post, we'll compare and contrast data lakes and data warehouses, and help you decide which approach is best for your company.

4 Ways Data Analytics Will Transform Modern Business

Data is the lifeblood of modern businesses, and companies need employees who possess the necessary data skills to manage and analyze it effectively. However, identifying the specific data skills that a company needs can be challenging. In this blog, we'll explore several data skills that a company's employees might need, and why they are important.

Data Security

Data security is an essential data skill that a company's employees need. Data breaches can be costly, damaging to a company's reputation, and can result in legal repercussions. Employees with data security skills can help prevent data breaches by identifying potential vulnerabilities and implementing security measures to protect data.

To develop data security skills, employees should focus on learning about data privacy laws and regulations, such as GDPR and CCPA. Additionally, employees should be familiar with data encryption and secure data storage practices. A company may also consider hiring a dedicated data security professional or working with a third-party security provider.

Data Analysis

Data analysis is another critical data skill that a company's employees need. Effective data analysis can lead to insights that can be used to make informed decisions, optimize business operations, and improve the customer experience. Employees with data analysis skills can help businesses make sense of the vast amounts of data they collect, and turn it into actionable insights.

To develop data analysis skills, employees should focus on learning statistical analysis, data visualization, and machine learning techniques. Additionally, employees should become proficient in programming languages such as Python, R, and SQL, which are essential for data analysis. Companies may also consider investing in data analysis software and tools such as SAS, SPSS, and Microsoft Excel.

Data Visualization

Data is transforming businesses and accelerating company growth in a way that has never existed before. Jobs within the data world — especially in the field of data analytics — are on the rise, and there is a steady growth in job demand and compensation year-over-year.

Maybe you’re an aspiring data analytics professional, looking to establish your first real data career. Perhaps you’re looking for opportunities to deepen a current data-related role, or take the next step toward a promotion in a field like data analytics, data science or data engineering.

Consider this article your guide to the top-paying data careers.

Why choose a data analysis job?

The majority of data analysis jobs will command high-median salaries, even in entry-level positions for recent graduates, or people with only a year or two of qualified experience.

Here are a few of the other reasons you might want to consider establishing yourself in a data-related field:

• A wide variety of job opportunities
• Ample room for career advancement
• Daily brainstorming and problem-solving work
• A balance of technical work and interpersonal communication
• Few mandatory qualifications

Ready to figure out which data analysis job is best for you?

Let’s dive in.

Best data analyst jobs

The data analysis positions we’ll discuss below are not the only jobs available in the field; they’re also the highest-paying data professions available.

These jobs are ranked from lowest-to-highest salary, but keep in mind these estimated salaries have been derived from a selection of statistics, and may vary based on your individual experience as well as per company compensation packages.

6. Data Engineer ($70,000–$130,000)

A data engineer’s role is to make data m

When your business starts to grow, you may find yourself in need of additional data analytics resources. This can be a difficult process — how do you know who to trust with your team’s collected information? And how can you be sure that they will be the right fit for your company?

In this article, we will provide tips for hiring the right data analytics team. We'll help you understand what to look for, and how to make sure that your new team will be able to help your business reach its goal.

Why do I need a data analytics team?

The first step in hiring a data analytics team is to identify your internal data-related needs. Do you need someone to manage your company’s data? Do you need help with applying algorithms to complicated data sets, or with implementing data-informed strategies that inform growth?

Do you need the help of someone who can create and implement an entire data analytics project framework?

If you're expanding your business, you might need a team that can do all of the above. And if you’re not sure where to turn for your data analytics, you might need one or more data professionals who can help you diagnose your data-related needs before satisfying them.

Understanding your data analytics needs will help you identify the right candidates for the job.

How do I form the right data analytics team?

Let's talk about how to form a data analytics workforce.

When determining which type of data team you’re building, there are a few important factors to keep in mind. Let’s dive into some of those factors below.

1. Identify your data analytics needs

Before you begin pursuing the next members of your data analytics team, it’s important that your entire organization understands its data-related needs. For example, small organizations might not need an entire data analytics workflow. Instead, a commitment to collecting and analyzing your most important data might do the trick.

If your business is looking to keep pace with competition, you’ll need to understand the data you collect. Often, the difference between thriving and shrinking companies is their capability to collect and analyze information.

It's not only difficult to find experts in the data field; it’s also expensive. That’s why many organizations are turning to bootcamp programs as a way to fill their data needs.

Data bootcamp programs offer students the opportunity to develop the skills needed for a successful career in data science, data analytics or other data literacy fields.

In this article, we’ll discuss how businesses can identify when it’s time to hire a data science or data analytics team, what that process should look like and how your organization can benefit from hiring data bootcamp graduates.

Why is having an effective data team so vital?

One of the main differences between high-performing companies and lesser-performing companies is their familiarity with data. Amid rising competition, understanding your data is important to help drive growth and connect customers with the solutions they need.

A data team can help your organization draw valuable conclusions from the internal and external information you gather. Today, 60% of global organizations examine their own data to drive growth. This dedication to the data you gather can easily help influence sales, improve efficiency, and help customers address the challenges they face.

Effective data teams fulfill a critical role as part of your organization’s larger marketing workflow: they help your company take control of the data you gather, identifying trends in that data to help inform future decisions.

In short, having a difference-making data team in place is critical for any organization that wants to maintain insight into customer behaviors, best-perfor