This is a time of tremendous opportunity for IT professionals. Thanks to an endless stream of innovations, skilled professionals can increase their knowledge by taking advantage of one of the top big data certifications and honing their expertise. Hence, they either specialize in a wide variety of fields or move into a new domain. This process is particularly the case for big data, where the options for related careers appear to increase at the same incredible rate as the data itself!
According to Statista, we will generate 181 zettabytes of data worldwide by 2025. All that data will have to be stored in scalable and cost-effective data platforms while still being accessed, analyzed, and turned into actionable information. That’s why big data professionals are in and will continue to be in such high demand. These professionals include data scientists, data analysts, data engineers, data developers, systems administrators, and system managers. Today's job market offers plenty of opportunities and lucrative salaries for those with suitable skill sets and certifications. Unfortunately, there is an ongoing shortage of data scientists, so if you’re looking for a field that offers a secure future, look no further than big data.
The certification course is the best starting point for anyone interested in either moving into or up in the big data industry. Certifications tell potential employers that a job applicant has the necessary skills and knowledge to take on a certified data professional's specialized roles and tasks.
The Top Big Data Certifications in the Digital Age
Now that you see that certification is a worthwhile career investment, your next step is choosing the type of certification course and provider that fits you best. Unfortunately, when it comes to top big data certification, your choices are almost as numerous as the field’s areas of study. Therefore, we have curated a list of top big data certifications offered by some of the biggest names in the business.
Big Data Hadoop and Spark Developer Course (FREE)
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Associate Big Data Analyst (ABDA)
Brought to you by DASCA (Data Science Council of America), this program is ideal for graduate students who want to build a data science career and have decided to focus on a subject such as applied mathematics-economics, business, computer science, management, marketing, statistics, and more.
Recruiters across multiple business sectors know the ABDA certification and hold it in high regard. It’s a powerful and valuable vendor-neutral third-party certification, perfect for young grad students.
Before applying for the ABDA program, aspirants should have a strong, prior, formal exposure and knowledge of Statistics’ basic concepts, and possess hands-on experience with the tools and techniques of problem-solving issues like central tendency calculation; dispersions and averages; permutations and combinations; probability; creating charts, graphs, histograms, and scatter plots.
DASCA also offers other useful, practical certification courses such as:
This program gives you proficiency in engineering and developing big data programs, applications, and software. It's an ideal program for university and tech school graduates who want big data engineering and development careers.
If you’re already a programmer or software engineer but want more out of your career, this is the certification course for you. This course is best suited for aspirants who have an undergrad degree in computer science or information technology. This certification equips you to work on the most challenging big data applications and software development projects.
Cornell University
While many colleges and universities have online certification programs, Cornell’s certificate programs stand out from the pack. Here are three data analytics certification courses for aspiring big data professionals.
It’s one thing to have reams of actionable data; it’s another to know how to analyze it effectively. This course helps you develop a working familiarity with the grounding principles of data analysis. In addition, the course provides help sheets and other valuable tools practical for data handlers, turning you into a better data consumer. Participants who complete this course will receive 6 Professional Development Units (PDUs) from Project Management Institute.
This course also serves as the prerequisite for taking the remaining two courses listed.
Big Data Hadoop Certification Training Course
Master Big Data and Hadoop EcosystemExplore Course
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Statistics help you forecast uncertain outcomes and enable professionals to guide strategy and make decisions. This course helps you manage big data better by teaching you to sample data scientifically, limiting generalizations to patterns backed up by the most vital statistics.
The way to get the most out of your data is to get a solid grasp on what to pay attention to, understand the data’s relationships and variables, then make the right connections. This course teaches you how to identify uncertainty in business decisions and choose variables that help reduce those uncertainties. When you finish this course, you will have a functional, robust decision model at your disposal for making predictions related to your data-influenced business decisions.
Once you finish these certification courses, you can avail yourself of a larger menu of data science certification programs.
Intellipaat Big Data Hadoop Certification
Intellipaat offers Big Data Hadoop certification recognized by more than 80 corporations and organizations worldwide. The recognition list contains many major IT heavy-hitters such as Cisco, Ericsson, Mu Sigma, Sony, Standard Chartered, and TCS, to name a few. Students earn Intellipaat’s Big Data certification when they complete the Hadoop training and all associated assignments and quizzes, plus successfully addressing the projects assigned at the end of the training. Intellipaat Hadoop certification is comparable to six months of industry experience.
Intellipaat’s Big Data Hadoop Architect Training and Certification Includes:
- Training in Hadoop domains such as Dev, Admin, and Analyst
- High-quality videos, tutorials, interview questions, PDFs, PPTs, etc.
- Excellent support, including 24/7 question resolution, and doubt clearance
- Instructors with more than fourteen years of experience in the industry
- 14 real-time case studies and industry-oriented projects
- Tie-ups with over 80 corporations for exclusive job placement
And should you want to expand your knowledge base to include Machine Learning certification, Intellipaat offers a course too!
Big Data Engineer Master's Program
Master All the Big Data Skill You Need TodayEnroll Now
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SAS Certified Data Scientist
SAS is a global leader in analytics, offering multiple top big data certifications that focus on SAS products. As a result, they enjoy popularity and a solid reputation worldwide.
This certification course is for professionals who want to validate their ability to use open source and SAS data management tools to prepare big data for statistical analysis. This certification requires two exams: SAS Big Data Preparation, Statistics, Visual Exploration, and SAS Big Data Programming and Loading.
This certification course is for professionals who need to analyze big data with various statistical analysis and predictive modeling techniques and tools. This certification requires passing three exams: Predictive Modeling Using SAS Enterprise Miner 7, 13, or 14, SAS Advanced Predictive Modeling and SAS Text Analytics, Time Series, Experimentation, and Optimization.
Professionals who earn big data and advanced analytics certifications are also eligible for SAS Data Scientist certification. This certification course is designed for professionals who want to manipulate and gain insights from big data using various SAS and open source tools, make business recommendations with complex machine learning models, and deploy models at scale using the flexible, robust SAS environment.
The United States Data Science Institute (USDI)
The USDI is a global leader in data science transformation and innovation and offers a fantastic selection of data science-related certifications. Here are three of the more popular in-depth, high-end data science certifications:
This course is the perfect certification if you're starting on the path to becoming a Big Data engineer. It’s aimed at undergraduate students, professionals with less than two years of related work experience, and anyone who has a passion for upskilling with cutting-edge practices in data analysis and data sources. The course offers two different paths, depending on the applicant’s academic and work experience.
The curriculum includes:
- Data Science and its Importance
- Mathematics and Statistics for Data Science
- Big Data and Hadoop
- Database and Data Science
- Performing Data Analysis
- Data Visualization & its libraries
- Tableau and PowerBI for Data Science
- Data and Machine Learning
This certification course is a more advanced offering, focusing on Data Analytics, Deep Learning, Machine Learning, NLP, Text Analytics, and more. The certification course offers four different paths, each one with diverse academic and work experience qualifications.
The curriculum features:
- Data Science and Data Analysis
- Big Data and Data Science
- Data Analysis Lifecycle and Workflow
- Key Methods in Data Science
- Working with Data and Databases
- Advanced Big Data Analytics
- Machine Learning and PowerBI
- Data Analytics: Case Studies
- Containerization, RPA, IoT, and Cloud
This certification course represents the ultimate USDI-offered qualification. The Certified Senior Data Scientist (CSDS™) offers a ground-breaking, advanced technical mindset ideal for leading any commercial-related data science project. The program features three different paths and is designed to make the experienced data scientist competent in the advanced skills needed to function strategically within any organization.
The curriculum includes:
- Data Science for Data Scientists
- Essential Operations on Data
- Essential Data Science for Data Scientists
- Data Visualization Using Tableau
- Data Science for Business
- Big Data and Data Lakes
- Data Science Methods for Data Scientists
- Data Science in Marketing
- Elastic Stack for Data Scientists
- DevOps and Cloud Computing
Data Engineer Certification and Big Data Certification Courses from Simplilearn
Despite their variety, all the big data certification courses described above have one common trait: they focus primarily on the exam, not the education and hands-on training that prepares you for the exam. Furthermore, any knowledge they offer is of a limited, general sort, requiring you to piece together your learning. For that reason, pursuing a certification course through a big data vendor might not be the right choice for you and your career. Also, unless you already know you need to specialize in a vendor such as SAS, you probably need a more general and all-encompassing education.
If you’d like a more clear-cut, vendor-agnostic path to your big data certification courses and career move, consider Simplilearn’s many choices for top big data certifications. Simplilearn offers a wide range of big data certification courses, from the specific to the general, and a thorough, practical education that prepares you for your certification exam. Here’s a sample of Simplilearn’s Big Data certification courses.
Free Course: Introduction to Data Science
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1. Big Data Hadoop Certification Course
With this top big data certification course, you can master the concepts of the Hadoop framework and prepare for Cloudera’s CCA175 Big data certification. With the online Hadoop training, you can learn how the Hadoop ecosystem components, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, and Apache Spark fit with the Big Data processing lifecycle. Hands-on learning happens when you implement real-life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab. The certification exam is offered when you complete the course, and a practice exam is available.
2. Big Data Hadoop Administrator Certification Course
This certification course trains professionals with the methodologies necessary to excel in big data analytics. With this Hadoop Admin training, you can learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem, including Hadoop installation and configuration. You will also understand cluster management with Sqoop, Flume, Pig, Hive, Impala, and Cloudera; and big data implementations with exceptional security, speed, and scale. The certification exam is offered when you complete the course, and a practice exam is available.
Earning Multiple Big Data Certifications with a Master’s Program
With Simplilearn, you can also choose to earn multiple certifications in the Big Data Engineer Master’s program. You earn seven different Big Data certifications with this course of study:
- Big Data for Data Engineering
- Big Data Hadoop and Spark Developer
- PySpark Training Course
- Apache Kafka
- MongoDB Developer and Administrator
- AWS Big Data Certification Training
- Big Data Capstone
The Big Data and Data Science Master’s program also certifies you in multiple areas as you earn a certification for each of these five courses:
- Data science with R programming
- Big Data Hadoop and Spark Developer
- Tableau Training
- Data Science with Python
- Machine Learning
If you want a certification covering a broad range of skill sets and positions you for success as a specialist in either an architect or engineer role, these master's programs are your best choice. If you prefer a narrower focus, you can see by Simplilearn’s wide range of top big data certifications that you can find one to best fit your needs and then earn additional certifications in the future as needed.
FAQs
4 popular data engineer certifications
- IBM Data Engineering Professional Certificate. ...
- Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate. ...
- IBM Data Warehouse Engineer Professional Certificate. ...
- Meta Database Engineer Professional Certificate.
What are the 3 types of big data? ›
Table of Contents
- Structured data.
- Unstructured data.
- Semi-structured data.
What are the best data certifications? ›
It helps make you marketable in nearly any sector you desire to be in and helps you earn more in the job of your choice.
- DataCamp. ...
- Microsoft Data Analyst Associate Certification. ...
- Cloudera Certified Associate Data Analyst. ...
- IBM Data Science Professional Certificate. ...
- Amazon AWS Certified Big Data.
Which is the most valuable data science certification? ›
Top 10 Data Science Certifications for 2023
- Certified Analytics Professional (CAP)
- Dell EMC Data Science Track (EMCDS)
- SAS Certified Data Scientist.
- Microsoft Certified: Azure Data Scientist Associate.
- Cloudera Certified Associate (CCA) Data Analyst.
- Cloudera Certified Professional (CCP) Data Engineer.
Who Is Highest Paid big data engineer? ›
Highest salary that a Big Data Engineer can earn is ₹21.0 Lakhs per year (₹1.8L per month).
...
These are the top skills of a Big Data Engineer based on 1699 jobs posted by employers.
- Big Data.
- Spark.
- Python.
- Hadoop.
- SCALA.
Which certification is most demanding? ›
AWS Certified Solutions Architect – Associate
- Nutanix Certified Associate.
- Cisco Certified Internetwork Expert (CCIE)
- Information Technology Infrastructure Library (ITIL)
- Project Management Professional (PMP)
- Oracle Database Administration 2019 Certified Professional.
- Salesforce Certified Platform Developer I.
What are the 5 A's of big data? ›
5 A's to Big Data Success (Agility, Automation, Accessible, Accuracy, Adoption)
What are the 7 V of big data? ›
After addressing volume, velocity, variety, variability, veracity, and visualization — which takes a lot of time, effort, and resources —, you want to be sure your organization is getting value from the data.
What are the 5 P's of big data? ›
It takes several factors and parts in order to manage data science projects. This article will provide you with the five key elements: purpose, people, processes, platforms and programmability [1], and how you can benefit from these in your projects.
Which certification has highest salary? ›
Given below are the top certifications that pay well.
- Full Stack Web Development.
- Cloud Computing.
- DevOps.
- Digital Marketing.
- Business Analytics.
- Data Science.
- Artificial Intelligence.
Easy certifications to obtain
- First aid certifications. ...
- Project management certifications. ...
- Software certifications. ...
- Government certifications. ...
- Notary public certification. ...
- Forklift operator license. ...
- Computer programming certifications. ...
- Marketing certifications.
Who is the No 1 data scientist? ›
Dean Abbott
He is a seasoned data science professional who is also the founder and president of Abbott Analytics. He has over 21 years of experience in the field of data and modelling, survey analysis, signal processes, and missile guidance.
Are Google data certificates worth it? ›
The Google Data Analytics Professional Certification is definitely worth the time and effort. It's one of the most valuable entry-level certifications to pursue starting a career as a data analyst.
Which data science course is best for future? ›
8 Best Data Science Courses & Certifications for 2022:
- Data Science Specialization — JHU @ Coursera.
- Introduction to Data Science — Metis.
- Applied Data Science with Python Specialization — UMich @ Coursera.
- Data Science MicroMasters — UC San Diego @ edX.
- Dataquest.
- Statistics and Data Science MicroMasters — MIT @ edX.
Is Data Engineer a good career in 2023? ›
The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews.
Does big data require coding? ›
Coding is required. For working professionals who code: Coding is required in Data Science, and you can pick it up. There is a learning curve in Data Science because, along with code, you will also need to unlearn and relearn mathematics and business.
Is big data Engineer stressful? ›
These factors force data engineers to work long, irregular schedules that take a toll on their well-being. In fact, 78% of survey respondents wish their job came with a therapist to help manage work-related stress.
Which cloud certification is best 2023? ›
Top 10 Highest Paying Cloud Certifications for 2023
- AWS Certified Solutions Architect Associate.
- AWS Certified Cloud Practitioner.
- AWS Certified Developer Associate.
- AWS Certified SysOps Administrator — Associate.
- Microsoft Certified: Azure Fundamentals.
Which IT field is best for future? ›
Top 5 Tech Careers Of The Future
- Machine learning engineer. This specific branch of artificial intelligence is ideal for those who have a passion for computer science and desire a career in a fast-moving and exciting industry. ...
- UX designer. ...
- Robotics engineer. ...
- Data scientist. ...
- Cloud engineer.
Can I get a job with Google IT certificate? ›
Upon completion of the Google IT Support or IT Automation with Python Certificates, you will gain access to an exclusive job platform where you can easily apply to opportunities from employers with open IT jobs.
Specifically, we found that the connection between big data and big process revolved around the 'Four Cs'.” Those four Cs are customers, chaos, context, and cloud. Read more about each here.
What are the main 3 Vs of big data? ›
Dubbed the three Vs; volume, velocity, and variety, these are key to understanding how we can measure big data and just how very different 'big data' is to old fashioned data. Find out more about the 3vs of Big Data at Big Data LDN, the UK's leading data conference & exhibition for your entire data team.
What are the four P's of big data? ›
By using Big Data to better understand preference, prediction, personalization, and promotion, companies are finding a better way to customize their marketing.
What are the 11 Vs of big data? ›
Researchers & practitioner have distinguished, characterized and explored big data in terms of its characteristics including volume, velocity, variety, value, virality, volatility, visualization, viscosity and validity.
What is the most important V of big data? ›
There is one “V” that we stress the importance of over all the others—veracity. Data veracity is the one area that still has the potential for improvement and poses the biggest challenge when it comes to big data.
What are the challenges of big data? ›
But, there are some challenges of Big Data encountered by companies. These include data quality, storage, lack of data science professionals, validating data, and accumulating data from different sources.
What are the 5 C's of data? ›
Five framing guidelines help us think about building data products. We call them the five Cs: consent, clarity, consistency, control (and transparency), and consequences (and harm). They're a framework for implementing the golden rule for data.
Why is big data interesting? ›
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Businesses that use big data with advanced analytics gain value in many ways, such as: Reducing cost.
What is an example of big data? ›
What are examples of big data? Big data comes from myriad sources -- some examples are transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps and social networks.
What is the 1 highest paying job? ›
Obstetricians and Gynecologists
Top careers with three-month certificate programs
- Medical billing and coding specialist.
- Web designer.
- HVAC technician.
- Truck driver.
- Licensed real estate agent.
- IT support.
- Brick mason.
- Personal trainer.
Which IT technology is most in-demand in future? ›
Here is the list of the most in-demand and trending tech skills that will offer you a successful career: Data Science.
...
Popular Blockchain Courses:
- Blockchain: Foundations and Use Cases on Coursera.
- Ethereum Blockchain Developer Bootcamp With Solidity (2021) on Udemy.
- Blockchain and Cryptocurrency Explained on Coursera.
Which data analyst has highest salary? ›
Highest salary that a Data Analyst can earn is ₹11.5 Lakhs per year (₹95.8k per month). How does Data Analyst Salary in India change with experience? An Entry Level Data Analyst with less than three years of experience earns an average salary of ₹4.4 Lakhs per year.
What are top 3 skills for data collector? ›
Here are the top related skills to data collection:
- Analysis.
- Research.
- Microsoft Office.
- Excel.
- Data Analysis.
- Responsible.
- Management.
- Managing.
What are the top 3 skills that you need to be a data analyst? ›
Here are the eight most important data analyst skills:
- Data cleaning and preparation.
- Data analysis and exploration.
- Statistical knowledge.
- Creating data visualizations.
- Creating dashboards and reports.
- Writing and communication.
- Domain knowledge.
- Problem solving.
What certificates can I get in 6 months? ›
High-paying six-month certificate programs
- Emergency Medical Technician.
- Funeral director.
- Brick Mason.
- Personal trainer.
- Medical coder.
- Firefighter.
- Air traffic controller.
- Automobile service station manager.
What is a fast certification? ›
The FAST Level 1 Certification awarded by the FSO provides evidence that an individual has proved competent on a specified date in understanding and applying the FAST Standard.
What career can I learn in 6 months? ›
- Real Estate Agent. Selling real estate has limitless potential, and you can get started quickly. ...
- Commercial Truck Driver. Becoming a truck driver isn't as long a road as you might think. ...
- Phlebotomy Tech. ...
- HVAC Tech. ...
- Certified Nursing Assistant (CNA) ...
- Personal Trainer. ...
- Emergency Medical Technician (EMT)
Who is the father of big data? ›
Some argue that it has been around since the early 1990s, crediting American computer scientist John R Mashey, considered the 'father of big data', for making it popular.
Which country is leading in data science? ›
United States. Data scientists in the US are paid handsome salaries amounting to USD 165,000 on average per year. The US is reported to be the one of the countries that pay the highest for data scientists.
Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.
Can I become data analyst in 3 months? ›
You can make use of the playlists to lean skills needed for a data analyst in 3 months. Remember this important point doing practical work is important than theory. Spend 20% time on theory and 80% time on implementing it.
Do Google certificates expire? ›
All Professional Google Cloud certifications are valid for two years from the date an individual certifies. The Cloud Digital Leader and the Associate Cloud Engineer certifications are valid for three years from the date an individual certifies.
Is a Google certificate enough? ›
According to Coursera's Learner Outcome Survey, 82% of Google certification holders reported a positive career outcome within six months. The ability to network and grow alongside your peers is a huge draw for traditional graduate management education programs.
Is data science a good career in 2024? ›
Over the coming decade, data science is growing to provide an array of work opportunities. Because the supply is low, this is the right call for professionals seeking skills in this area.
Will data science exist in 10 years? ›
In 10 years, data scientists will have entirely different sets of skills and tools, but their function will remain the same: to serve as confident and competent technology guides that can make sense of complex data to solve business problems.
Will data science be in demand in next 5 years? ›
Studies estimate that the Data Science industry will grow by at least 2x over the next five years. The growth will further be accelerated by certain changes that will impact the career fundamentals for data scientists. The biggest change that will happen in the Data Science industry is the roles.
Which country is best for big data engineer? ›
Best countries to work as Data Scientist in 2022
- San Jose, California. ...
- Average Salary : $132,355 per annum. ...
- Bengaluru, India. ...
- Average Salary: Rs. ...
- Geneva, Switzerland. ...
- Average Salary: 180,000 Swiss Fr (Franc) to 200,000 Swiss Fr (Franc) per annum.
- Berlin, Germany. ...
- Average Salary: €11,000 to €114,155 per annum.
Can a Data Engineer become a big data engineer? ›
Big data engineers hold at least a bachelor's degree, with most also having an advanced degree, such as an online master's in business data analytics. The added years of study are crucial for learning the myriad technical skills that a big data engineer needs.
How do I get certified in big data? ›
You earn seven different Big Data certifications with this course of study:
- Big Data for Data Engineering.
- Big Data Hadoop and Spark Developer.
- PySpark Training Course.
- Apache Kafka.
- MongoDB Developer and Administrator.
- AWS Big Data Certification Training.
- Big Data Capstone.
The estimated take home salary of a Data Engineer at Google ranges between ₹ 2,73,094 per month to ₹ 2,84,305 per month in India. The take home salary calculation is based on the average Google Data Engineer salary in India which is ₹ 46.5 Lakhs per year for employees with experience between 3 years to 8 years.
Who is the No 1 data scientist in the world? ›
Dean Abbott
He is a seasoned data science professional who is also the founder and president of Abbott Analytics. He has over 21 years of experience in the field of data and modelling, survey analysis, signal processes, and missile guidance.
Which language is best for big data? ›
Python is the most widely used data science programming language in the world today. It is an open-source, easy-to-use language that has been around since the year 1991. This general-purpose and dynamic language is inherently object-oriented.
Which big data technology is in demand? ›
Predictive Analytics
This is one of the most widely used and popular big data technologies. Being a sub-part of Big Data analytics, Predictive Analytics uses previous data to predict future events and behavior. It uses the following technologies: Machine learning.
Is Big Data engineer stressful? ›
These factors force data engineers to work long, irregular schedules that take a toll on their well-being. In fact, 78% of survey respondents wish their job came with a therapist to help manage work-related stress.
Who gets more salary data engineer or data analyst? ›
The typical salary of a data analyst is just under $59000 /year. A data engineer can earn up to $90,8390 /year whereas a data scientist can earn $91,470 /year.
Is Big Data engineer a stressful job? ›
Data engineers are so stressed out that 78% wish their job came with a therapist. Yikes. Solving this is no easy task and requires a detailed understanding of why data engineers are burnt out. Here are five factors contributing to their unhappiness.
Can I learn big data without coding? ›
Many data scientists started their careers without prior knowledge or experience in coding. The basic requirements for a non-coder to become a data scientist include: Thorough understanding of probability and statistics. Having a passion for working with numbers.
Does big data pay well? ›
Mid-level Big Data Engineers (5-9 years of experience) earn an annual salary of ₹1264,555 per year. Many of the country's data engineering jobs are based in Bangalore, with companies like Amazon, IBM, and Autodesk frequently hiring for this position.
Is big data still in-demand? ›
Big data analytics is used everywhere
Because of its numerous benefits, big data analytics is undoubtedly in high demand. The enormous growth is indeed due to the wide range of industries in which Analytics is used. The image below shows the various job opportunities available in various domains.
fyi, which crowdsources salary data from the biggest tech companies, those Googlers at the L7 level (i.e., senior staff software engineer) can earn an annual salary of up to $270,650 per year, coupled with $406,100 in stock options and a bonus of $81,900.
Which Data Analyst has highest salary? ›
Highest salary that a Data Analyst can earn is ₹11.5 Lakhs per year (₹95.8k per month). How does Data Analyst Salary in India change with experience? An Entry Level Data Analyst with less than three years of experience earns an average salary of ₹4.4 Lakhs per year.
What is the highest paying job in data? ›
- Data Scientist Salary. Data Scientists earn an average salary range of $110,000-$250,000. ...
- Data Architect Salary. Data Architects earn an average salary range of $145,000-$225,000. ...
- Big Data Engineer Salary. ...
- BI Architect Salary. ...
- Data Warehouse Engineer Salary. ...
- Data Engineer Salary.