Introduction

In today’s digital age, data stands as the most influential asset. However, raw data only holds power if we unlock its secrets and translate them into actionable insights. Yet, its true power lies in uncovering insights and turning them into actionable strategies. Data analytics professionals play a crucial role in this process. Companies, from tech giants to healthcare institutions, seek skilled individuals to leverage data for strategic gain. This article explores the exciting landscape of data analytics careers. Explore the most in-demand roles, the unique skillsets they require, and the reasons why this field is booming.

Reasons to Make a Career in Data Analytics

High Demand and Job Growth

According to a report from the US Bureau of Labor Statistics (BLS), the anticipation of the data analyst’s job will grow 23% between 2021 and 2031, much faster than the average growth of all careers, which is 5% [BLS Data Analyst Job Outlook]. Such a figure can be interpreted as indicating that there are unlimited job openings in the growing economy.

Data-Driven Decisions Across Industries

A large amount of data has become the heart of the decision-making process in many business sectors, such as retail, marketing, and banking, to name a few. Many companies measure their effectiveness by data analysts who pinpoint their customers more precisely, help improve work processes, and gain a competitive advantage by creating conclusions from all the available data.

Abundance of Data Creation

The number of data files produced worldwide will continue to climb acceleratedly. IDC predicts that by 2025, the total world datasphere will reach 175 zettabytes [IDC The Global Datasphere]. To inform with content, data analysts must organize, analyze, and assess this data.

Lucrative Salaries

Data analysis is a self-rewarding profession. In the United States of America, as of March 2022, the data analyst who performed excellently and deservedly earned a salary of just over $89,500 (Investopedia Data Analytics). Though role job site and experience will invariably affect the salary of a data analyst, experience is a necessary condition to qualify for such a position.

Top Careers in Data Analytics

Data Scientist

Data Scientists who work in data science are experts at recognizing and comprehending patterns in data. They process data obtained from many sources. Understanding the data sets significantly depends on one’s ability to program, do statistics, and analyze data. They are masters at applying data-driven solutions and insights to infrastructure and cutting-edge analytics technologies like machine learning and predictive analytics. The knowledge of data scientists is needed from the beginning with data collecting to the end with data cleaning, modeling, and deployment. They could use Python, R, and SQL to alter data and extract specific insights among other computer languages.

Required Skills

• Proficiency in programming languages like Python or R
• Strong knowledge of statistics and mathematics
• Experience with data manipulation and analysis tools such as SQL, Excel, and pandas
• Understanding of machine learning frameworks like TensorFlow or scikit-learn

Average Salary: The average salary ranges from ₹12,00,000 per year in India. In the US, the salaries of a data scientist is an average of $1,54,885 per year.

Also Read: Learning Path to Become a Data Scientist in 2024

Business Intelligence Analyst

Business Intelligence (BI) Analysts equip companies with the knowledge acquired through data analysis and the introduction of important information in a consumable way. Alongside setting business KPIs, these metrics are processed and turned into reports supporting managerial decisions. They look, study, and estimate data to locate the approximate trends and patterns. BI analysts summarize and communicate their results clearly and accurately to top management.

Required Skills:

• Strong analytical skills and proficiency in BI tools
• Ability to preprocess and clean data
• Skills in statistical analysis and data mining
• Proficiency in SQL and experience with reporting tools like Looker

Average Salary: In India, the annual average wage is around ₹7,25,841. In the US, the average salary is approximately $98,970.

Also Read: Top 9 Business Intelligence Tools to Use in 2024

Data Engineer

Data Engineers collect, organize, and transform unprocessed data into information that data scientists and analysts can use. They construct and manage the infrastructure needed for processing and analyzing massive amounts of data. They employ their expertise in databases, data warehousing, and programming to ensure that data is clear, readable, and safe.

Required Skills:

• Strong knowledge of databases and programming
• Experience with big data tools and machine learning
• Proficiency in data warehousing solutions
• Skills in building and optimizing data pipelines

Average Salary: The average salary in India is ₹11,80,878 per year, while in the US, it is around $137,776 per year.

Also Read: Step-by-Step Roadmap to Become a Data Engineer in 2024

Business Analyst.

Business analysts are professionals who investigate the performance of a company’s ICT systems and the organization’s processes and structures to determine the weakest points where most issues arise. In addition, they partner with various stakeholders at all levels to understand their problems and desires. Using data analysis, solutions are then implemented to improve organizational efficiency. Business analysts perform analyses of the firm’s financial statements, client surveys, and market research studies to locate the issues of strategic concerns for the enterprise. Financial modeling, graphs, and data charts are tools to make forecasts and generate reports on problems and solutions.

Required Skills:

• Strong analytical and problem-solving skills
• Proficiency in data analysis and data visualization tools
• Excellent communication and presentation abilities
• Knowledge of creating and interpreting financial models

Average Salary: In India, the average salary for a Business Analyst is approximately ₹8 Lakhs per year. In the United States, the average salary is around $83,137 per year.

Learn More: How To Become Data Scientist or Business Analyst?

Marketing Analyst

A marketing analyst concentrates on tracking, assessing, and reporting on marketing activities to improve performance and maximize return on investment (ROI). They monitor crucial activities, evaluate campaign success, and identify pipeline contributions. A marketing analyst is well-versed in data structure and customer segmentation. They use data to monitor the success of marketing efforts and identify areas that require development. They also create and implement data-driven marketing campaigns with other marketing teams.

Required Skills:

• Expertise in marketing analytics tools
• Strong analytical and problem-solving skills
• Proficiency in data analysis and reporting
• Knowledge of database segmentation and campaign management

Average Salary: In the US, the salary range is approximately $90,000 – $120,000 annually.

Learn More: How to Become a Marketing Analyst? [Career, Jobs & Salary]

Financial Analyst

Financial analysts assess financial information to assist businesses in making wise investment choices. They evaluate market trends, estimate future financial scenarios, and examine financial accounts to inform investment plans. They create suggestions for businesses and investors based on data analysis and financial modeling.

Required Skills:

• Strong analytical and quantitative skills
• Proficiency in financial modeling and forecasting
• Excellent communication and presentation skills
• Knowledge of financial databases and tools

Average Salary: The average salary in India ranges from ₹13,71,059 per year to around $101,702 per year in the US.

Also Read: How to Become a Finance Analyst?

Quantitative Analyst

Another career option in data analytics is Quantitative Analysts, or “quants.” They employ mathematical models to influence their financial and business decisions. They develop algorithms for trading, taking risks, and valuing. Moreover, they also create instruments for financial data analysis. Quantitative analysts use statistical and mathematical methods to analyze financial markets. Wall Street and other financial institutions greatly value their services because of their expertise in developing and implementing trading models and strategies.

Required Skills:

• Advanced skills in mathematics and statistics
• Experience with programming and algorithm development
• Knowledge of financial markets and instruments
• Strong problem-solving abilities

Average Salary: The average annual salary in the US is approximately $1,94,253 annually.

Data Visualization Engineer

Data Visualization Engineers are professionals who build visual data presentations to facilitate understanding of the data that may be complex to comprehend. They develop the experiences, containers, and visualizing targets to make the data available and feasible. They employ programming languages and data visualization instruments to design them into charts, graphs, or other data representations.

Required Skills:

• Proficiency in data visualization tools like Tableau or Looker
• Strong design and analytical skills
• Ability to translate complex data into clear visual formats
• Knowledge of data processing and curation

Average Salary: The average salary in India is ₹6.0 Lakhs per year. In the US, salaries range from $119K annually.

Kickstart your Data Analytics Career

Looking to take your data analytics career to the next level? Consider Analytics Vidhya’s AI/ML Blackbelt Plus program. With a personalized success roadmap, exclusive guided projects, over 500 learning hours, and mastery of 22+ cutting-edge tools, it’s designed to accelerate your career. Benefit from a dedicated career acceleration team, weekly mentorship sessions, and mock interviews. Gain hands-on experience with over 50 real-world projects, personalized mock interviews, and feedback. Connect with over 100 hiring partners to enhance your job prospects and excel in the dynamic field of data analytics.

Explore our AI/ML Blackbelt Plus Program today.

Conclusion

The field of data analytics is very flexible, and it is for all these individuals who are driven enough to take this data and transform it into action pieces to be implemented. Although they accelerate data-driven innovations and monitoring-driven decisions, individuals who have taken education in this field are desperately needed in finance and healthcare. This is the right time to choose a career in data analytics. Develop the essential knowledge, keep yourself up-to-date with new technological changes, and jet off into the space of an exciting and impactful career as an analyst of data.