Top High Paying Non-Coding Jobs in Data Science in 2025

In today’s data-driven economy, organizations across industries rely on data science to extract insights, optimize operations, and make informed decisions. From predictive analytics in healthcare to customer segmentation in e-commerce, the applications of data science are vast and impactful. According to a 2024 NASSCOM report, India’s data science and analytics industry is projected to reach $9.5 billion by 2025, creating over 11 million job openings—a significant portion of which are suitable for freshers.

Despite this growing opportunity, many aspiring professionals hold back due to a common misconception—that all roles in data science require programming skills. While coding can be a valuable asset, it’s not a mandatory requirement for every job. Roles such as Data Analysts, BI Specialists, Data Journalists, and even Product Analysts heavily rely on tools like Excel, Tableau, Power BI, and SQL—learnable and beginner-friendly skills.

In this blog, we’ll explore high-paying, non-coding jobs in data science that are ideal for freshers or career switchers. Whether you’re from a non-technical background or simply not inclined toward programming, there’s a space for you in this field. Let’s break down the options, tools, skills, and pathways that can launch your career in data science—no Python required.

Does Data Science Require Coding in 2025?

The short answer: not always. While traditional data science roles leaned heavily on programming, the landscape in 2025 is far more diverse. Thanks to low-code and no-code tools like Tableau, Power BI, Alteryx, and even Excel-based automation platforms, it’s now possible to drive business insights and build impactful data reports without writing a single line of code.

This shift isn’t about replacing coding—it’s about expanding access to data science. These tools are empowering professionals in marketing, finance, and operations to contribute to data-driven initiatives, even without a software engineering background. Many organizations are now seeking data professionals who can blend domain knowledge, analytical thinking, and business communication, regardless of their coding ability.

As a result, non-coding roles in data science are gaining traction, offering high-paying, impactful career paths to freshers and professionals from non-technical domains. If you’re analytical, detail-oriented, and business-savvy, there’s a space for you in this field—and it doesn’t have to start with Python.

Top Career Paths in Data Science That Require Little to No Coding

As data science continues to evolve, so do the career opportunities within it—many of which don’t require you to be fluent in programming. These roles focus on data interpretation, communication, business strategy, and analytical thinking, making them ideal for professionals from non-technical backgrounds or for freshers just starting out.Let’s explore 10 high-impact, well-paying data science roles in 2025 that allow you to thrive in the field without a coding-heavy skill set. Work Flexibility
Often Remote or Hybrid

1. Business Analyst

Business analysts bridge the gap between data science and business operations. They use data to identify opportunities for improvement, develop strategies, and communicate findings to key stakeholders.

Roles:

• Bridge the gap between business needs and technology solutions
• Analyze processes
• Systems to improve efficiency

Responsibilities:

• Gathering and analyzing requirements
• Identifying process improvements
• Facilitating communication between business and IT teams

Core Skills Required:

• Strong analytical skills
• Business acumen
• Communication
• Problem-solving
• Knowledge of business process modeling.

Tools and Software Knowledge:

• Microsoft Visio
• Microsoft Excel
• JIRA
• Project management software

Relevant Certifications and Training: CBAP (Certified Business Analysis Professional) or CCBA (Certification of Capability in Business Analysis)

Salary Range: ₹4,00,000 to ₹15,00,000 per year.

Career Growth and Progression Paths: Business Analysts can advance to roles such as Senior Business Analyst, Product Manager, or Project Manager.

Companies Hiring for Business Analysts:

• Amazon
• Microsoft
• Flipkart

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

2. Data Scientist Manager

Data science managers oversee the entire data science team, ensuring that projects are on track and aligned with the company’s objectives. They may not code themselves but understand the technical aspects of data science.

Roles:

• Oversee data science teams
• Ensure projects align with organizational objectives and are executed effectively.

Responsibilities:

• Project management
• Team leadership
• Strategic decision-making in data science initiatives.

Core Skills Required:

• Strong leadership
• Project management
• Data science expertise
• Communication
• Problem-solving skills

Tools and Software Knowledge:

• Python
• R
• Machine learning libraries
• Data analytics tools

Relevant Certifications and Training: Have advanced degrees in data science or related fields and extensive experience in data science.

Salary Range: ₹15,00,000 to ₹30,00,000 per year

Career Growth and Progression Paths: Data Science Managers can progress to higher-level management positions, such as Director of Data Science or Chief Data Officer.

Companies Hiring for Data Scientist Manager:

• Amazon
• Microsoft
• Flipkart

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

3. Data Science Consultant

Consultants provide expert advice to businesses on data science strategies and solutions. They don’t necessarily code but guide organizations on how to leverage data for competitive advantages.

Roles:

• Provide expert advice to businesses on data science strategies and solutions
• Help them leverage data for competitive advantages

Responsibilities:

• Assess a client’s data needs
• Develop data strategies
• Provide recommendations for data-driven solutions

Core Skills Required:

• Strong analytical skills
• Data science expertise
• Communication
• Problem-solving
• Business acumen

Tools and Software Knowledge:

• Data science tools
• Analytics platforms
• Have knowledge of various data analysis
• Visualization software.

Relevant Certifications and Training: Advanced degrees in data science or related fields

Salary Range: ₹6,00,000 to ₹20,00,000 per year.

Career Growth and Progression Paths: Advance to senior consultant positions, take on specialized consulting roles, or become independent consultants.

Companies Hiring for Data Science Consultant:

• Deloitte
• Accenture
• TCS

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

4. Machine Learning Engineer

While this role typically involves coding, there’s a growing demand for Machine Learning Engineers with a strong focus on model deployment and optimization rather than writing code from scratch. They ensure models work efficiently in a production environment.

Roles:

• Focus on model deployment and optimization
• Ensure that machine learning models work efficiently in a production environment

Responsibilities:

• Develop, deploy, and maintain machine learning models
• Work closely with data scientists and software engineers

Do have a look at the roles and responsibilities of a machine learning engineer before getting into it.

Core Skills Required:

• Strong programming skills in languages like Python
• Machine learning expertise
• Knowledge of deep learning frameworks
• Proficiency in model deployment.

Tools and Software Knowledge:

• TensorFlow
• PyTorch
• Docker
• Kubernetes

Relevant Certifications and Training: Google Professional Machine Learning Engineer or AWS Certified Machine Learning

Salary Range: ₹6,00,000 to ₹25,00,000 per year.

Career Growth and Progression Paths: Progress to senior roles, like Senior Machine Learning Engineer.

Companies Hiring for Machine Learning Engineer:

• Amazon
• Microsoft
• Flipkart

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

5. Data Product Manager

Data product managers collaborate with cross-functional teams to develop data-driven products and services. Their role involves defining product roadmaps and prioritizing features based on data insights.

Roles:

• Collaborate with cross-functional teams
• Defining product roadmaps
• Prioritizing features based on data insights.

Responsibilities:

• Manage the entire lifecycle of data products, from ideation and development to release and ongoing optimization

Core Skills Required:

• Strong product management skills
• Data analysis and interpretation
• Communication
• Ability to translate data insights into product features

Tools and Software Knowledge:

• Product management tools
• Data analytics platforms
• Project management software

Relevant Certifications and Training: Training in product management and data analysis can be beneficial

Salary Range: ₹10,00,000 to ₹25,00,000 per year.

Career Growth and Progression Paths: Advance to more senior product management roles or take on leadership positions within product development teams.

Companies Hiring for Data Product Manager:

• Amazon
• Google
• PayPal

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

6. Data Privacy Officer

With increased concern about data privacy, companies need professionals to manage data security and compliance. Data Privacy Officers ensure that data is handled responsibly and in accordance with regulations.

Roles:

• Ensure data is handled responsibly
• Implement data protection regulations
• Safeguard an organization’s data assets and privacy

Responsibilities:

• Developing and implementing data privacy policies
• Conducting audits
• Ensuring compliance with data protection laws.

Core Skills Required:

• Strong knowledge of data protection laws
• Legal compliance, risk assessment
• Communication
• Ability to create and enforce data privacy policies.

Tools and Software Knowledge:

• Privacy management and compliance tools
• Data protection software

Relevant Certifications and Training: Certified Information Privacy Professional (CIPP) and Certified Information Systems Security Professional (CISSP)

Salary Range: ₹8,00,000 to ₹20,00,000 per year.

Career Growth and Progression Paths: Chief Privacy Officer or Chief Information Security Officer.

Companies Hiring for Data Privacy Officer:

• Tech Mahindra
• Infosys
• Amazon

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

7. Data Visualization Designer

Data visualization designers create compelling and easy-to-understand visuals that convey complex data. They help tell a story with data, making it accessible to a wider audience.

Roles:

• Create compelling designs
• Easy-to-understand visuals that convey complex data, making it accessible to a wider audience

Responsibilities:

• Designing data dashboards
• Creating Infographics, and reports that effectively communicate data insights to stakeholders

Core Skills Required:

• Data visualization tools
• Graphic design
• Creativity
• Communication
• Ability to simplify complex data.

Tools and Software Knowledge:

• Tableau
• Power BI
• Adobe Illustrator
• Data visualization libraries
• D3.js

Relevant Certifications and Training: Training in data visualization and graphic design

Salary Range: ₹5,00,000 to ₹15,00,000 per year.

Career Growth and Progression Paths: Lead Data Visualization Designer or Data Visualization Manager.

Companies Hiring for Data Visualization Designer:

• Google
• McKinsey
• Government departments

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

8. Data Ethicist

Ethics in data science is a growing concern. Data ethicists work on the ethical implications of data usage, ensuring that data-driven decisions align with moral and ethical principles.

Roles:

• Ethical implications of data usage
• Ensuring that data-driven decisions align with moral and ethical principles.

Responsibilities:

• Assessing data-related decisions
• Practices to ensure ethical compliance
• Offering guidance to organizations
• Facilitating ethical discussions.

Core Skills Required:

• Strong ethics knowledge
• Communication
• Critical thinking
• Ability to apply ethical principles to data practices.

Tools and Software Knowledge:

• Data governance
• Compliance tools.

Relevant Certifications and Training: Training in ethics, data governance, and compliance can be valuable.

Salary Range: ₹6,00,000 to ₹20,00,000 per year.

Career Growth and Progression Paths: Progress to more senior roles within ethics and compliance departments, taking on leadership positions.

Companies Hiring for Data Ethicist:

• KPMG
• Kainos
• Accenture

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

9. Data Science Educator

As the demand for data science professionals continues to grow, the need for qualified educators is rising. Data science educators teach aspiring professionals the skills and knowledge required for data science careers.

Roles:

• Teach aspiring professionals the skills
• Knowledge required for data science careers
• Working in academic institutions or as online educators.

Responsibilities:

• Design and deliver data science courses
• Create educational materials
• Mentor students to help them acquire the necessary skills and knowledge.

Core Skills Required:

• Proficiency in data science
• Strong communication
• Teaching ability
• Deep understanding of data science concepts.

Tools and Software Knowledge:

• Proficient in data science tools
• Python and R

Relevant Certifications and Training: Advanced degrees in data science

Salary Range: ₹6,00,000 to ₹15,00,000 per year.

Career Growth and Progression Paths: Advance to higher academic positions, such as becoming a professor, or moving into educational leadership roles.

Companies Hiring for Business Analysts:

• Coursera
• Udemy
• edX

Work Flexibility (depending on company policies and job requirements):

• Work in-office
• Remotely
• Hybrid model

Kickstart your Data Science journey by enrolling in GUVI’s Data Science Course where you will master technologies like MongoDB, Tableau, PowerBI, Pandas, etc., and build interesting real-life projects.

Alternatively, if you would like to explore Python through a Self-paced course, try GUVI’s Python certification course.

Conclusion

In 2025 and the upcoming years, the field of data science is evolving, with increasing opportunities for non-coding professionals. Tech companies and startups are actively seeking individuals who can help them harness the power of data without necessarily writing code.

Whether you’re passionate about data ethics, data visualization, or managing data-driven products, there are non-coding jobs in data science waiting for you. As the data science landscape continues to expand, these Non-Coding Jobs in Data Science are set to become even more integral to the industry’s success.

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