Most business analytics careers offer high paying jobs.
This post provides exhaustive information on the highest paying business analytics jobs that you can do and have a successful career, including the skills, experience, and qualifications you need to access the jobs, as well as salaries and future outlook for the careers.
Please, keep reading:
Business analytics is simply the process of collecting, storing, and analyzing data to help a business to improve its efficiency and increase its revenue.
People with careers in business analytics are called business analysts.
10 Highest Paying Business Analytics Jobs
Here is our list of 10 highest paying business analytics jobs and their salaries:
1. Big Data Engineer
Big data engineers transform big volumes of data into a format easily analyzed for organizations to use to create smarter business decisions. They also retrieve, interpret, analyze, and report on a business’s data, so as to produce result.
Big Data Engineer Job Duties
The duties and responsibilities commonly performed by big data engineers include the following:
Create and maintain optimal data pipeline architecture
Create data tools for analytics
Bring together large, compound data sets that meet functional/non-functional business requirements
Work together with stakeholders
Collaborate with data and analytics experts to strive for greater functionality in data systems
Keep data separated and secure across national boundaries through multiple data centers and AWS regions.
Big Data Engineer Qualification
To be hired as a big data engineer mostly requires:
A Bachelor’s degree in: Computer Science, Information Technology, or Applied Math
Certification: The certification programs for this job include IBM Certified Data Engineer or Google’s Certified Professional
Knowledge and skills of machine learning, Python and R, data base, data warehousing, apache hadoop, NoSQL, setting up cloud clusters, apache spark
Ability to approach problems in a creative way
Strong analytic skills related to working with unstructured datasets
Strong project management and organizational skills
Experience on Spark/Storm/Cassandr/Kafka/Scala
Experience with Java oriented technologies (JBoss, Spring, SpringMVC, Hibernate, REST/SOAP)
Experience in performing root cause analysis on internal and external data and processes
Experience with non-relational and relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Experience using the Hadoop ecosystem, or Spark and similar frameworks.
Glassdoor reported the average annual salary for a data engineer to be $137,776. Senior data engineers receive an average salary of $172,603 per year.
Future Job Outlook for Big Data Engineer
Glassdoor listed about 107,730 big data engineering jobs in the US. By the end of this year, as far as the market is concerned, the global big data market would achieve a net worth of $31 billion, thus documenting a growth of 14% from the previous year.
There is an escalating demand for big data engineers. Therefore, there is little doubt that big data engineers will have a positive growth curve.
2. Data Architect
Data Architects ensure effective storage and utilization of enterprise data.
Another high paying business analytics job is data architecture. Data architects are concerned with designing, creating, deploying, and managing a company’s data architecture.
They define how the data will be stored, consumed, integrated and managed by diverse data entities and IT systems.
Data Architect Duties
Data architects commonly perform the following duties and responsibilities:
Arrange exact database design and architecture reports for management and executive teams
Design and apply effective database solutions and models to store and retrieve company data
Inspect and identify database structural necessities by evaluating client operations, applications, and programming
Install and put in order information systems to guarantee company functionality
Assess database implementation procedures to ensure they comply with internal and external regulations
Watch the system performance by performing regular tests, troubleshooting, and integrating new features
Supervise the migration of data from legacy systems to new solutions
Suggest solutions to improve new and existing database systems
Teach staff members through training and individual support
Offer support by responding to system problems in a timely way.
Data Architect Qualification/Certification
If you are seeking to work as a data architect, you will need to have the following qualifications:
At least a Bachelor’s degree in Computer Science, Computer Engineering, or in a relevant field. Nevertheless, most employers prefer to hire data architects with Master’s degree and at least 5 to 7 years of experience in data analysis and management. Further certification in project management may also be required depending on the employer.
Demonstrated work experience as a Data Architect, Data Scientist, Data Analyst or similar role
Experience gathering and analyzing system requirements
Excellent organizational and analytical abilities
Good written and verbal communication skills
Strong knowledge of database structure systems and data mining
PayScale reported the median annual salary for data architects to be $112,825., which may increase according to level of experience and advanced education.
The top 10% of data architects earn as much as $153,000 per year, while bottom 10% make as little as $74,463.
Data architects are also eligible to receive extensive benefits through their employers, such as health insurance with premiums fully paid and unlimited time off. They may also receive incentive-based bonuses.
Future Job Outlook for Data Architect
According to the Bureau of Labor Statistics, a field very similar to data architect, known as database administrators will experience growth of 11% in the next decade.
The Database-as-a-service has grown popular, which only increases the need for more data architects as companies get bigger.
3. Data Warehouse Manager
Data warehouse managers engage in storage and analysis of data in facilities. They use performance and usage metrics to assess data, analyze data load, and monitor job usage.
Data Warehouse Manager Duties
The kind of duties and responsibilities commonly performed by data warehouse managers are:
Design, apply, and oversee database management projects, making sure projects stay on time and within budget
Watch databases to ensure they function properly and security protections are up to date
Handle database administrators and other IT personnel in developing, maintaining, and troubleshooting data storage systems
Help employees learn how to use new systems or features through providing information about the capabilities of database systems.
Data Warehouse Manager Qualification/Certification
To be hired for the data warehouse manager job, you will need to have the following qualities and qualifications:
A Bachelor’s degree
Experience with BI tools, including MS Dynamics, IBM Cogno, etc.
MS SQL skills (including T-SQL, SSRS, SSAS and server management)
Ability to communicate technological information to non-technological people
Knowledge and experience with logistics, Oracle
Knowledge of data integration from multiple different systems.
Data Warehouse Manager Salary
Glass door reported the average base pay of a data warehouse manager to be $56,315 per year. According to PayScale, data warehouse managers receive an average yearly salary of $116,945.
Future Job Outlook for Data Warehouse Manager
The opportunities in data warehouse manager’s profession are projected to growth 21 percent from 2014 to 2024.
4. Database Manager
Database managers provide database applications by developing architecture, programming, and security, and troubleshooting.
Database Manager Duties
The duties and responsibilities majorly performed by database managers are shown below:
Business Intelligence Analysts help managers in making informed business decisions. Image source: Businessadministrationinformation.com
Gets ready for database expansion by studying plans and requirements; advising senior technical management; coordinating design and programming
Maintains database performance by troubleshooting problems
Keeps database results by setting and enforcing standards and controls
Maintains senior technical management informed by preparing reports on system performance and problems
Upgrades software and hardware by reviewing transaction processing and database production options
Accomplishes platform upgrades and improvements by supervising system programming
Keeps updates on job knowledge
Carries out information systems and organization mission by completing related results as needed.
Database Manager Qualifications
The major qualities and qualifications commonly required to be hired as a database manager are shown below:
A Bachelor’s degree
Certification: Although certification is not required for a data management career, voluntary certification may be available. One thing that earning certification does in data management is that it helps to demonstrate professional expertise in the profession. Third-party hardware and software vendors, such as Oracle or Microsoft usually offer certifications in this field
Skills: Data maintenance, database management, promoting process improvement, presenting technical information, database design, reporting
Quality Focus
Technical Understanding
Attention to Detail
Thoroughness
Requirements Analysis
1-5 years of experience is typically required in the data management career.
Database Manager Salary
The BLS reported the median annual salary of data managers to be $81,710 as of 2015.
Future Job Outlook for Database Managers
According to the prediction by the U.S. Bureau of Labor Statistics (BLS), there would be an 11 percent national employment growth for data managers during the 2014 to 2024 decade.
5. Business Intelligence Analyst
The business intelligence analyst job is also a high paying one. The job entails gathering business data through a lot of various means, such as gathering data by means of mining a company’s data and looking at competitor data and industry trends.
Business Intelligence Analyst Duties
The duties and responsibilities performed by most business intelligence analyst are shown below:
Develop and manage BI solutions
Create and maintain documentation including requirements, design and user manuals
Collaborate with business users
Analyze business processes and requirements
Identify opportunities to improve processes and strategies with technology solutions
Provide reports, processes and Excel VBA applications through the application life cycle
Identify development needs in order to improve and streamline operations.
Business Intelligence Analyst Qualification Requirements
If you are seeking the job of a business intelligence analyst, here are major qualification requirements you may be expected to fulfill by recruiters:
A college degree in Computer Science, Information Technology, or Finance, or in other similar fields
Skills and experience in data warehouse, data analysis, data modeling, data mining, database management and reporting, business intelligence, business administration, tableau and data visualization, Hadoop, SQL, Python and C#, business analysis, and Microsoft Office and Excel
The average annual salary for a business intelligence nalyst is $66,645 per year, plus a reported salary range of $48,701 to $93,243.
According to StudyCom, the median salary for a business intelligence analyst stands for $85,800 annually as of 2015.
Future Job Outlook for Business Intelligence Analyst
The Business Intelligence Analyst job was projected to grow 21 percent from 2014 to 2024.
6. Data Scientist
The Data scientist career offers good pay and exciting opportunities.
Data scientists are responsible for designing and constructing new processes for modeling, data mining and production.
They source information from different places and analyze it for better understanding about how the business performs, and to build AI tools that automate certain processes within the company.
Data Scientist Duties
Data scientists perform various functions, including the following:
Data mining using state-of-the-art methods
Expanding company’s data with third party sources of information when required
Improving data collection procedures to include information that is relevant for building analytic systems
Creating and constantly tracking of its performance automated anomaly detection systems
Doing and presenting results of ad-hoc analysis in a clear manner.
Data Scientist Qualification Requirements
To work as a data scientist, you may be required to meet the following:
At least B.Sc./B.A. in: Computer Science, Engineering, or in a relevant field. Also preferred is graduate degree in data science or other quantitative field
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Great communication skills
Good applied statistics skills
Strong ability to use SQL, Hive, Pig, and other query languages
Experience with R, Weka, NumPy, MatLab, etc (depending on specific project requirements). Excellence in at least one of these is highly wanted
Experience with NoSQL databases
Experience with D3.js, GGplot, etc.
Data Scientist Salary
According to Glassdoor, the average salary for a data scientist is $117,345 per year. In PayScale’s report, the annual salary for a data scientist is $89,711.
Future Job Outlook for Data Scientist
Employment of data scientists is expected to grow 19% from 2016 to 2026, much faster than the average for all jobs.
7. Data Modeler
Another high paying business analytics job is data modeling. Data modelers design, implement, and document data architecture and data modeling solutions which include the use of relational, dimensional, and NoSQL databases.
Data Modeler Duties
The duties and responsibilities commonly performed by data modelers include the following:
Translating business needs into data models supporting long-term solutions
Creating and Maintaining Data Models
Optimizing and updating logical and physical data models to support new and existing projects
Recommending opportunities for reuse of data models in new environments
Evaluating data models and physical databases for variances and discrepancies
Validating business data objects for accuracy and completeness
Analyzing data-related system integration challenges and proposing appropriate solutions
Developing data models according to company standards
Guiding System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces
Reviewing modifications to existing software to improve efficiency and performance
Examining new application design and recommending corrections if required.
Data Modeler Qualification Requirements
The following are requirements you may be expected to meet to qualify to access the data modeler position with most recruiters:
Proficiency in data modeling principles/methods including conceptual, logical and physical Data Models
Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization
Strong inter-personal skills and ability to work as part of a team
Ability to plainly communicate difficult technical ideas, regardless of the technical capacity of the audience
Qualification: Bachelor’s or Master’s degree in Computer/Data Science Technical or in a related field
Experience in team management, communication, and presentation
Experience with Data Lake, data warehouse, and enterprise big data platforms in multi-data-center contexts required
5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Data Modeler Salary
In May 2018, the median salary for a data modeler was $88,740 according to the U.S. Bureau of Labor Statistics (BLS).
Future Job Outlook for Data Modelers
According to the U.S. Bureau of Labor Statistics (BLS), the data modeler job is projected to grow 9 percent from 2016 to 2026.
8. Database Developer
Employments for database developers is expected to grow over the coming years.
Database developers are responsible for the performance, integrity and security of databases, as well as plan, develop and troubleshoot databases.
Database Developer Duties
The duties and responsibilities commonly performed by database developers include the following:
Design stable, reliable, and effective databases
Adjust databases according to requests and perform tests
Solve database usage issues and malfunctions
Make sure all database programs meet company and performance requirements
Examine and suggest new database products, services, and protocols
Provide data management support to users
Communicate with developers to improve applications and establish best practices
Optimize and maintain legacy systems
Gather user requirements and identify new features
Develop technical and training manuals.
Database Developer Qualification Requirements
If you are seeking to work as a database developer, here are major requirements recruiters may expect you to fulfill:
In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
Expertise in software development and user interface web applications
Knowledge of .Net Framework, JavaScript, HTML and Oracle
Excellent analytical and organization skills
Excellent verbal and written communication skills
Critical thinker and problem-solving skills
Team player
Good time-management skills
Great interpersonal skills
Proven work experience as a Database developer
Hands on experience with SQL
B.Sc. degree in Computer Science or relevant field required.
The median annual salary for database developers includes $81,710 in the United States, with the top 10% earning $17,080 and the bottom 10% earning $45,460.
Database developers in New Jersey earned the highest annual median salary of $105,450, with those in the District of Columbia ($99,370) and California ($94,510) coming in second and third.
Future Job Outlook for Database Developers
According to the U.S. Bureau of Labor Statistics, employment of database developers is projected to grow 11% from 2016 to 2026.
The increased data needs of companies across the economy will drive growth in this profession.
9. Database Administrator
Database administrators work with technology, using specialized kinds of software to store and organize a company’s data.
Database Administrator Duties
Database administrators perform the following duties and responsibilities:
Having both front-end and back-end users in mind while designing databases
Making sure that the database has a strong back-up and is able to be recovered in the event of memory loss
Protecting the database against threats or unauthorized access
Monitoring system performance and identifying problems that arise
Responding in a timely approach to user-reported errors
Reporting on metrics regarding usage and performance
Providing useful suggestions on relevant changes and improvements to be made to ensure maintenance or protection
Regularly liaising with IT project managers and database programmers
Qualification: Database administrators must have at least a four-year college degree in a related field, as well as relevant experience. The profession requires a Bachelor’s degree in Computer Science or Information Technology
Certification: The database administrator’s career requires advanced education and certifications. Gaining a certification specializing in different database management system is not required, but very useful
Skills: Communication, Analytical, and problem-solving skills
Detail oriented
Experience: In addition to educational requirements, a lot of employers require 3 to 4 years of database experience.
A database administrator’s salary differs based on the level of experience, education, and certifications, as well as the area of expertise and other factors.
According to the U.S. Bureau of Labor Statistics, the median annual salary for a database administrator includes $90,070, and $43.3 per hour.
Top 10 percent annual salary stands for more than $138,320 and $66.5 per hour; while bottom 10 percent annual salary for the profession is less than $50,340 and $24.2 per hour.
Future Job Outlook for Database Administrators
Opportunities for database administrators are likely to grow by 11% from 2016 to 2026, faster than the 7% expected average growth for all occupations, according to the Bureau of Labor Statistics.
The trend for decision making in most organizations to become progressively more data-driven has been raised by demand.
The growth of cloud computing as a storage option for organizations has also supported increased demand for database professionals.
From 2016 to 2026, demand is expected to increase by 20 percent in the computer systems design and related services industry.
10. Data Analyst
Data analysts have the exciting job of collecting and turning data into valuable information for business improvement.
Your job as a data analyst includes interpreting data and turning it into information which can be used to improve business.
Data Analyst Duties
Data analysts mostly perform the following duties and responsibilities:
Collecting and interpreting data
Analyzing results
Reporting the outcomes back to the pertinent members of the business
Identifying patterns and trends in data sets
Defining new data collection and analysis processes
Working together with teams within the business or the management team to establish business needs.
Data Analyst Qualification Requirements
To work as a data analyst, recruiters may want you to meet the following requirements:
A degree in Computer Science, Economics, or Math, or Statistics
Strong verbal and written communication skills
An analytical mind and inclination for problem-solving
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience. Learn more from our Cookie Policy and Privacy Policy.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
