Top 11 Careers in Data Analytics: In-Demand Roles for a Data-Driven Era

Do you know why choosing a data analytics field might be a good option for you? Well, you should discover various hidden benefits of having knowledge of data analytics.

Data analysts are those who work in this data analytics industry and is one of the most popular job roles. The major role of data analysts is to analyse, collect, and identify the trend and pattern hidden within data.

This industry is expected to grow to a billion dollars in net worth by 2026. The data analytics field attracts many freshers and certified individuals to boost their careers by providing them with a handsome salary range. Many people are joining Data Analytics & Engineering Bootcamps to get hands-on experience and to become a qualified data professional.

Excited to discover the career opportunities you can pursue in the field of Data Analytics? Let’s get started.

Top 11 Careers In Data Analytics

Data analytics has proliferated since all organizations deal with massive amounts of data. This rapid growth has led to various specializations to get better career prospects.

To know if data analytics is a promising career option, let’s look at this brief guide that elaborates different careers in data analytics.

1. Data Scientist

Data scientists are professionals who analyze data and generate patterns to derive informational insights. Their roles and responsibilities are to explore and collect complex data sets. They identify future trends and patterns. Furthermore, they create data visualization to communicate the solutions. This assists companies in the decision-making process.

Key Responsibilities

• Data collection
• Data cleaning
• Data visualisation
• Building predictive models

Skills Required

• Programming skills in Python, R. and SQL.
• Advance mathematics.
• Knowledge of machine learning.

Salary Range

This is one of the most popular careers in data analytics, as it offers the average annual salary of data scientists, starting from $103,906. Many top companies, like Deloitte, Amazon, Wipro, Flipkart, HCL Technologies, etc., hire such professionals.

2. Business Intelligence Analyst

A business intelligence analyst is involved in helping organizations that need data-driven insights to make company decisions. They often look for business intelligence analysts to analyze and interpret complex data sets. You can get practical experience with data-related concepts by understanding programs like Advanced Tableau.

Key Responsibilities

The roles and responsibilities of such professionals are to collect and analyze big data sets to present them comprehensively. This assists stakeholders and managers to make decisions based on their insights.

Skills Required

• Programming skills.
• BI data visualisation knowledge.
• Data warehousing skills.
• Business acumen like industry knowledge and strategy building.

Salary Range

The salary of such professionals is in the range of $87,751. Companies like Tata Consultancy Services, Capgemini, USEReady, Dell Technologies, Accenture, Wipro, etc., hire these professionals.

Read more: Data Analytics vs Machine Learning: Which Career Option is Better?

3. Data Engineers

Data engineers create robust and reliable architecture and interfaces for business databases. This involves the collection and transformation of data from multiple sources. Furthermore, data engineers create and expose data stores to analytical applications to put them into use for companies’ purposes.

Key Responsibilities

The responsibilities of data engineers are to extract data from various sources and evaluate them by cleaning unnecessary data. After cleaning and evaluation, data sets are built into complex data pipelines by stitching all the data together.

Skills Required

• Data modeling skills.
• Data visualization techniques.
• Data pipelines knowledge.
• Data transformation skills.
• Machine learning and programming know-how.

Salary Range

The annual salary of data engineers starts from $$132,922. Tata Consultancy Services, Capgemini, HCL Technologies, IBM, etc., regularly hire data engineers in India.

4. Financial Analyst

Many think financial analysts only work with economic aspects and have no role in data analysis. However, financial analysts have to deal with large data sets to produce financial plans and reports to assist the company in making valuable financial decisions.

Furthermore, it is their duty to assess the strength of the management team and resources available in the company to make estimation and projections for further operations.

Key Responsibilities

A financial analyst had to deal with company data to examine their financial statements. Studying the latest finances, economics, and business trends helps make accurate and informed investment decisions. Their responsibility is to prepare reports, make projections, and build financial models.

Skills Required

• Quantitative skills.
• Attention to detail.
• Analytical thinking.
• Financial modeling.
• Accounting

Salary Range

A financial analyst has an average annual salary of around $74,464. Companies that hire these analysts are Accenture, Deloitte, JP Morgan, Citi Bank, Amazon, Ernest & Young, American Express, etc.

5. Risk Analysts

Nowadays, risk management is gaining a lot of popularity among companies. As technology advances, the risk factor increases with the increase in cyber threats. Therefore, managing risks properly becomes an essential factor for businesses. This gives rise to the most in-demand career in data analytics, which is risk analysis.

Key Responsibilities

Risk analysts are professionals whose roles and responsibilities are to analyze and identify risks. They find new solutions to reduce the risk of the company’s operation. To reach the financial goals of a business, managing risk is significant, and the right risk analyst ensures this within the organization.

Skills Required

• Handling of technical tools.
• Quantitative analysis skills.
• Complex modeling skills.
• Risks and cybersecurity Compliance.

Salary Range

Estimated pay of Risk Analysts starts from $1,23,167 per year.

6. Big Data Analyst

Big data analytics works on extensive data sets to find the usefulness of business insights. It helps uncover the hidden trends and patterns within the raw data and converts them into meaningful content to further assist decision-making.

Key Responsibilities

The role and responsibilities of this job are to research and understand the market and industry trends. They mine and audit large amounts of data to find the usefulness of business insights. The solution obtained from such research assists in problem-solving and managing risks within the company.

Skills Required

• Statistical analysis skills.
• Data visualisation tool handling.
• Microsoft Power BI.
• Critical thinking.
• Data mining.
• Familiarity with public and hybrid clouds.

Salary Range

The starting salary of a prominent data analyst is around $82,471 annually. These skilled individuals are viewed and hired by top companies like Genpact, Tech Mahindra, Fractal Analytics, Capgemini, Tiger Analytics, Absolutdata, etc.

7. Marketing Analytics Manager

There are many ways to use data in marketing. The optimization of algorithms makes it far more easy and quick. A marketing analytics manager brings these functions together and creates a difference in deriving value for the company’s business. Using these data to improve marketing campaigns’ effectiveness helps them bring value to their task

Key Responsibilities

Their roles and responsibilities are to analyze and collect data to identify the trends and optimize campaigns of the company with the alignment of recent trends. Communicating these solutions with stakeholders by gathering insights to fulfil business requirements is highly necessary. Working with cross-functional teams to improve processes and meet business goals.

Skills Required

• Social media analytics.
• Business insights.
• Strategic thinking.
• Collaboration with cross-functional teams.

Salary Range

Marketing analytics managers can expect a salary of $112,942 per year all across the world.

8. Quantitative Analyst

An analyst’s career focuses and revolves around mathematical and statistical concepts. This helps businesses make right financial and operational decisions at times. As quant specialists, professionals with solid analytical and problem-solving skills are required who work seamlessly in risk management, portfolio management, and trading areas.

Key Responsibilities

Identifying the recent patterns and trends in data is necessary to develop and implement quantitative investment strategies. This is what quantitative analysts usually do. They also develop models based on the identified trends and build trading algorithms to manage risks.

Skills Required

• Strong background in mathematics and quantitative fields.
• Good grasp on programming languages like Python and R.
• Big data modeling.
• Portfolio theory.
• Research skills.

Salary Range

The average salary of them is around $144,349 annually. You will be in high demand for big companies if you have solid quantitative knowledge.

9. Data Governance Analyst

As relatively new in the field of careers in data analytics, the data governance role has come into the limelight. These professionals work on data to convert them into an accurate and consistent framework. They work to establish policies within the organization for better data management.

Key Responsibilities

Data governance analysts deal with developing and implementing data governance policies and procedures. This ensures that data is accurate, accessible, and secured. Communicating with stakeholders is necessary, so data gathering is the responsibility of data governance analysts.

Skills Required

• Knowing SQL, Python, and Java is essential.
• Data analytical skill required. 
• Data security and compliance skill.
• Data integration and interoperability.
• Data architecture is essential. 
• Data modeling & design.

Salary Range

You can expect a salary of $96,859 if you have a strong foundation in the data governance field.

Read more: Top 20 Data Analyst Interview Questions and Answers.

10. Data Visualization Engineer

A data visualization engineer is a new career option in the data analytics industry. They are responsible for designing, developing, and maintaining data visualization systems and dashboards. There are many tools and technologies that such data engineers use to improve effectiveness and efficiency of their task.

Key Responsibilities

The job responsibility of this role is to design and develop interactive data visualization tools and dashboards. These tools are to create visually attractive and interactive dashboards with appealing data representation. This enables their users to understand complex data sets effortlessly. The data visualization software makes their work more accessible to non-technical stakeholders.

Skills Required

• Analytical and presentation skills.
• Programming languages like Power BI, Tableau, and R is essential.
• Critical thinking.
• Statistical knowledge.
• Data modeling techniques.

Salary Range

The Salary of data visualisation engineers ranges from $45,000 to $208,000 per year depending on their experience and skills.

11. Data Warehouse Architect

Data warehouse architects are well-versed in technical and conceptual framework. They design data warehouses and have responsibility to design and build the company’s warehouse infrastructure. This gives support to the business goals and needs.

Key Responsibilities

The data warehouse architect defines and develops the data strategy, vision, and roadmap. They design and implement the company’s warehouse’s data models, structures, and flows by selecting and integrating the data sources. Meanwhile, ensuring data quality, security, and scalability is necessary to collaborate and communicate effectively with stakeholders and users.

Skills Required

• Good interpersonal and presentation skills.
• Advanced knowledge of cloud computing like AWS, Google Cloud, and Azure. 
• Know how to handle architecture tools, including ETL, SQL, NoSQL, ERD, and data warehouse core concepts.

Salary range

The average annual salary you can expect is around $125,869

Conclusion

The field of data analytics is constantly evolving and is expected to multiply. If you are interested in careers in data analytics, you can understand the above-given job prospects and see what suits you better.

Focus on your technical skills, experience, and learning to be well-prepared for a rewarding career ahead in such a dynamic data analytics field. Ensuring that you choose one of the strongest careers in data analytics is essential.

A proper combination of the right skills, experience, and knowledge helps you find the most suitable job role. You must grasp specific skills and expertise to choose the right career path.
Ready to launch your career in data analytics? Our Data Analytics Bootcamp equips you with the hands-on skills, expert guidance, and job-ready training needed to excel in this high-demand field.

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