Working in data analysis and analytics is a great option for someone who has a background in marketing. Not only do you get to analyze huge amounts of data, you also get to work with top marketers who are looking for someone to help them make sense of the data. You can even go the extra mile and use your stats skills to write your own marketing reports. You’ll be doing a hell of a lot of work, but the pay can be very good. If you want to find out more, check out the list of the highest-paying data analyst careers below.

1. Data Analyst – Google

The best job in data analysis and optimization for marketers is working for Google as a Data Analyst. Google has the most data at its disposal and it uses data analysts to help it find the best results for its search engine. The work is incredibly demanding but the pay is outstanding. If you’re interested in this career, make sure to apply now!

The role of a data analyst at Google is to research, collect, and analyze large amounts of information to help develop insights and finding. Essentially, you’ll be performing the functions of a market researcher who is doing all the legwork for top marketers all over the world. You’ll need a strong research background and excellent attention to detail to succeed in this role. The pay at Google is very high and the roles are a great opportunity to develop your career.

2. Business Intelligence (BI) Specialist – Amazon

Amazon’s Business Intelligence (BI) specialist is a role developed for professionals who have a background in marketing. The job is a bit like working for Google but the workload is a bit lighter. You’ll be extracting insights from data using analytical tools like Google Analytics and other business intelligence platforms like Microstrategy. You’ll need to have a solid knowledge of both marketing and analytics to succeed in this role. The pay is good and the job prospects are great. If you want to become a specialist in business intelligence, apply for one of these roles now!

Working as a Business Intelligence Specialist for Amazon is similar to working as a data analyst. You’ll be using your skills to analyze large amounts of data and helping businesses make better decisions. The main difference is that you’ll be analyzing marketing data instead of financial or operational data. The good thing is that the job description is quite open-ended and you get to use whatever skills you develop to solve problems. You’re not bound to just marketing data, so you have lots of opportunities to grow as a specialist.

3. Data Architect – Salesforce

The next best job for a data analyst with a marketing background is working as a data architect for Salesforce. The data architect is responsible for designing and developing data warehouses and other big data platforms used by marketing and business intelligence professionals. The scope of the work can be very wide-ranging and requires a deep understanding of database architecture and design. You’ll need to have a good knowledge of SQL to succeed in this role. The pay is good and the job prospects are excellent, so if you’re looking for a stable and rewarding career, this could be the one for you.

The data architect job description at Salesforce is very wide-ranging and includes designing and developing the backend infrastructure of a data platform used by marketing and business intelligence professionals. Essentially, you’ll be doing a lot of manual work (but nothing wrong with that), you’ll just be doing it for highly skilled professionals who can pay you well for your efforts. You’ll need to have a good knowledge of SQL and relational databases, as well as the ability to design databases and queries. Pay in this role is good, but don’t expect to make huge amounts of money overnight. This kind of work takes a lot of patience.

4. Quantitative Research Specialist – McKinsey & Amazon

If you have a background in marketing and are looking to develop your career in analytics, a great option is to work as a quantitative research specialist for one of the top consulting firms or for Amazon. The role of a quantitative research specialist is to design and conduct surveys and experiments to find the answers to sophisticated research questions. You’ll need to have a strong background in marketing, statistics, and experimental methods to succeed in this role. The pay is excellent and the job prospects are great, so if you want to develop your career, this could be the one for you.

Working as a Quantitative Research Specialist for either Amazon or McKinsey involves conducting research to answer complex questions, analyzing the data, and developing recommendations based on what you find. The questions can be quite varied, and you’ll need to have a wide skill set to fully succeed in this role. You’ll need to be familiar with survey methods, statistical analyses, and experimental design. You’ll also need to be able to write up reports and analyze data to present findings effectively. Pay in this role is excellent, and you’ll be able to develop your career quickly if you want to.

5. Data Engineer – Google & Salesforce

A data engineer’s job is to design and develop the physical infrastructure needed to store and process large amounts of data. The data engineer is responsible for creating and maintaining data warehouses, relational databases, and other big data structures used by marketing and business intelligence professionals. The main difference between a data engineer and a regular programmer is that a data engineer has a stronger focus on designing the physical structure of the software and hardware to store and analyze data. If that sounds like a job you’d be interested in, make sure to check out the job description for Data Engineer at Google or Salesforce. The good thing about these companies is that they’re massive, so there’ll be plenty of opportunities for you to grow your career.

The role of a data engineer at Google or Salesforce is to design and develop the physical infrastructure (like servers, storage, networking, and software) needed to store and process large amounts of data. You’ll need a good knowledge of at least one functional programming language (like Java or Python) and a general software engineering background to get started in this role. If you want to develop your career and make good money, you could do worse than working for one of the big three tech companies.

How Much Does it Cost to Study for a Data Analyst Certificate?

If you’re looking to enter the field and don’t have a strong background in analytics, the first thing you’ll need to do is study for a data analyst certificate. The cost of the certificate varies depending on your location and whether or not you’re taking it part-time or full-time. If you’re taking the certificate part-time, there’s no fee, but you’ll need to pay for your books and other study materials. If you’re taking it full-time, you’ll need to find the money for your tuition and fees, as well as the living costs (like housing and transportation).

The good news is that there are lots of scholarships and grants available to help you with your education. You should also consider applying for private loans, as long as you can pay them back, as this will also help you develop further credit and establish a good credit rating. In order to find the data analyst certificate that’s right for you, visit the Numerate Institute’s website now!