Top Data Analyst Jobs you can Apply for

Data Analyst roles provide promising, opportunities across multiple industries and often allows for remote work flexibility and even self-employment.

The advent of technology has created new heights, making majority of the population have access to an internet connection. This however made Big Data and data analytics become hot topics in recent years – and a growing need.

As a result of this, the demand for knowledgeable data analytics professionals currently outweighs the supply, meaning that companies are willing to pay a premium to fill their open job positions.

But the question is, how many people are really skilled to fill those positions? To start with, you need 4 basic skills before throwing out your resumes. These are Advanced Excel, Python, SQL and Data Visualization. 

Here are top jobs to apply for if you already have those four skills. If you currently don’t have the skills, it’s advisable to enroll in courses to learn the skills before embarking on any job search in that field.

1. Business Intelligence Analyst

A business intelligence analyst’s most fundamental job is to find patterns — and value — in their company and industry data.

At most companies, this is a kind of data analyst role. BI Analysts will be expected to be comfortable analyzing data, working with SQL, and doing data visualization and modeling. Like most data roles, this job also requires strong communication skills so that you can communicate your results convincingly to others at the company.

BI Analysts earn an average salary of $95,838 per year, plus an average $5,000 cash bonus.

2. Data Analyst

Data Analysts do exactly what the job title implies — analyze company and industry data to find value and opportunities.

Data analysts can be found in every industry, and job titles can vary. Some roles will have industry-specific names like “healthcare data analyst.” “Business analyst”, “intelligence analyst”, and similarly-named roles often share a lot with data analyst roles.

Unlike data scientists, they’re typically not expected to be proficient in machine learning. But most data analyst jobs require programming and SQL skills, as well as statistical knowledge, comfort with the data analysis workflow, and data visualization skills.

The average salary for a data analyst is $75,161 per year, with an additional bonus of $2,500.

3. Data Scientist

Much like analysts in other roles, data scientists collect and analyze data and communicate actionable insights. Data scientists are often a technical step above of data analysts, though. They are the ones who are able to understand data from a more informed perspective to help make predictions. These positions require a strong knowledge of data analytics including software tools, programming languages like Python or R, and data visualization skills to better communicate findings.

These positions are challenging – and rewarding, with an average salary of $123,074. The demand for data analytics experts with technical backgrounds is at an all-time high.

4. Data Engineer

Data engineers often focus on larger datasets and are tasked with optimizing the infrastructure surrounding different data analytics processes.

For example, a data engineer might focus on the process of capturing data to make an acquisition pipeline more efficient. They may also need to upgrade a database infrastructure for faster queries. These high-level data analytics professionals are also well-paid, with median salaries being comparable to data scientists at $132,380.

5. Quantitative Analyst

A quantitative analyst is another highly sought-after professional, especially in financial firms. Quantitative analysts use data analytics to seek out potential financial investment opportunities or risk management problems. The average salary of a Quantitative Analyst is $130,484 per year.

6. Data Analytics Consultant

Like many of these positions, the primary role of an analytics consultant is to deliver insights to a company to help their business. While an analytics consultant may specialize in any particular industry or area of research, the difference between a consultant and an in-house data scientist or data analyst is that a consultant may work for different companies in a shorter period of time.

They may also be working for more than one company at a time, focusing on particular projects with clear start and end dates.

These positions are best for those who like change, and those who have a narrowed interest and expertise in a field of study. Analytics consultants are also in a great position to work remotely, another enticing factor about this role to consider.

Compensation varies widely by industry, but $89,163 is a representative salary for the role.

7. Operations Analyst

Operations analysts are usually found internally at large companies, but may also work as consultants.

Operations analysts focus on the internal processes of a business. This can include internal reporting systems, product manufacturing and distribution, and the general streamlining of business operations.

It’s more important for professionals in these roles to have general business savvy, and they often have technical knowledge of the systems they’re working with. Operations analysts are found in every type of business, from large grocery chains, to postal service providers, to the military.

Operations Analysts make an average of $78,414 per year, with an average additional cash bonus of $2,500. Due to the versatile nature of this data analytics job and the many industries you may find employment in, the salary can vary widely.

8. Marketing Analyst

Digital marketing also requires a strong knowledge of data analytics. Depending on your other complementary skills and interests, you could find yourself in a specific analytics role within a company or agency, or simply applying your data science expertise as a part of a larger skill set.

Marketers often use tools like Google Analytics, custom reporting tools and other third party sites to analyze traffic from websites and social media advertisements. While these examples require a basic understanding of data analytics, a skilled data scientist has the ability to create a long-term career in marketing.

A lot of money could be wasted on campaigns that do not drive traffic, so marketing professionals will continue to need analysts to make smart decisions about how to leverage existing resources.

While digital marketing positions have a wide salary range, marketing analyst salaries average $66,571, and can rise above six figures for senior and management-level positions.

9. Project Manager

Project managers use analytics tools to keep track of a team’s progress, track their efficiency, and increase productivity by changing processes.

Project managers need at least a working understanding of data analytics, and often more.

These positions are found internally at large corporations, and frequently in management consulting. Another example of a career trajectory for project managers could be moving into product and supply chain management, which companies rely on to maintain profit margins and smooth operations.

A typical salary for a project manager is around $81,818.

10. IT Systems Analyst

Systems analysts use and design systems to solve problems in information technology.

The required level of technical expertise varies in these positions, and that creates opportunities for specialization by industry and personal interests. Some systems analysts use existing third-party tools to test software within a company, while others develop new. proprietary tools from their understanding of data analytics and the business itself.

A typical systems analyst in the US makes around $79,961.

11. Transportation Logistics Specialist

A transportation logistics specialist optimizes transportation of physical goods, and could be found in large shipping companies, like Amazon, UPS, naval transport companies, airlines and city planning offices.

A data analytics background is especially helpful in this job because transportation logistics specialists need to reliably identify the most efficient paths for products and services to be delivered. They must look at large amounts of data to help identify and eliminate bottlenecks in transit, be it on land, sea or in the air.

With seasoned professionals in this industry making around $79,000 per year, a transportation logistics specialist is an appealing career path for individuals who are detail-oriented, technical and forward thinkers.

A data analytics background also helps transportation logistics specialists, among others, to focus on the most important issues, seeing potential problems and solutions in context and communicating those effectively.

Whether your goal is to get a full-time job in a new industry, advance in your existing career, or work for yourself in the data analytics field, Techavilly can prepare you for the opportunity. Visit our online course section to enroll in any of these courses to prepare yourself for the journey ahead!

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