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

By Isha Sharma

India’s data science industry is booming, projected to reach $9.5 billion by 2025, according to NASSCOM. With over 11 million jobs expected, this field offers some of the most accessible entry level tech jobs with no experience required, especially for freshers and career switchers from non-technical backgrounds.

Today, companies across healthcare, e-commerce, finance, and logistics are using data science to improve decisions, reduce costs, and personalize user experiences. From predictive analytics in hospitals to real-time dashboards in retail, the demand for data-driven roles continues to rise.

Yet, one myth persists: “You need to know Python to get into data science.” Not true.

There’s a fast-growing segment of non-coding jobs in data science that focus more on analytical thinking and business impact than on writing code. Roles like Data Analyst, BI Specialist, Data Journalist, and Product Analyst often rely more on tools like Excel, Tableau, Power BI, and SQL, not hardcore coding. These tools are beginner-friendly, widely used, and highly valued by recruiters in India’s top tech and non-tech firms.

In this blog, we’ll show you exactly which high-paying, non-coding roles you can target in data science, the tools you need to learn, and how to start fast, even if you’ve never written a line of code.

Table of contents


  1. Does Data Science Require Coding in 2025?
  2. Top Career Paths in Data Science That Require Little to No Coding
    • Business Analyst
    • Data Scientist Manager
    • Data Science Consultant
    • Machine Learning Engineer
    • Data Product Manager
    • Data Privacy Officer
    • Data Visualization Designer
    • Data Ethicist
    • Data Science Educator
  3. Top Non-Coding and Low-Code Roles in Data Science: Skills, Tools, Salaries & Career Paths
  4. Conclusion
  5. FAQs
    • Q1. What are the top Non-Coding Jobs in Data Science?
    • Q2. What is the average salary range for non-coding jobs in data science?
    • Q3. Which industries are actively hiring for non-coding jobs in data science?
    • Q4. What non-coding jobs in data science are known for providing flexible working arrangements?
    • Q5. What tools and software should a non-coding data science professional be familiar with?
    • Q6. Which relevant certifications and training are beneficial for non-coding data science roles?
    • Q7. How do non-coding data science roles contribute to the overall goals of a company?
    • Q8. Can individuals with strong soft skills succeed in non-coding data science jobs?

Does Data Science Require Coding in 2025?

Not for every role. While core data scientist positions involve Python or R, many entry-level tech jobs with no experience now fall under non-coding data roles.

Tools like Tableau, Power BI, Alteryx, and Excel-based automation allow you to analyze trends, build dashboards, and deliver insights without touching code. These tools are widely used in marketing, operations, and business teams that rely on data daily.

Companies are hiring for roles like Product Analyst, BI Developer, Data Visualisation Specialist, and Marketing Data Associate, regardless of your coding background. What matters more is your ability to think critically, work with data tools, and communicate insights.

If you’re aiming to enter the data science space through a practical, business-oriented route. In that case, these roles offer strong salaries, fast learning curves, and real impact, all without needing to master Python from day one.

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. 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.

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.

Business Analyst

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
MDN

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.

Data Scientist Manager

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.

Data Science Consultant

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
  • Know 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 Consultants:

  • 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.

Machine Learning Engineer

Roles:

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

Responsibilities:

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 Engineers:

  • 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.

Data Product Manager

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 following regulations.

Data Privacy Officer

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.

Data Visualization Designer

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:

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.

Data Ethicist

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.

Data Science Educator

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.

Top Non-Coding and Low-Code Roles in Data Science: Skills, Tools, Salaries & Career Paths

RoleCore ResponsibilitiesKey SkillsTools / PlatformsSalary Range (INR)Career Progression
Business AnalystBridge business & tech teams; analyze operations; suggest improvementsBusiness acumen, problem-solving, process modelingExcel, Visio, JIRA, PM tools₹4–15 LPASenior BA → Product/Project Manager
Data Science ManagerLead data science teams; align projects with business goalsLeadership, data strategy, communicationML tools, analytics dashboards₹15–30 LPADirector of Data Science, CDO
Data Science ConsultantAdvise orgs on data-driven strategies; build data roadmapsStrategy, client management, analyticsBI tools, dashboard platforms₹6–20 LPASenior Consultant → Independent Consultant
Machine Learning Engineer (low-code variant)Deploy and optimize models; automate ML processesModel tuning, deployment toolsTensorFlow, PyTorch, Docker₹6–25 LPASenior ML Engineer
Data Product ManagerDefine and deliver data-backed product featuresProduct thinking, storytelling with dataPM tools, analytics platforms₹10–25 LPASr. Product Manager, Head of Product
Data Privacy OfficerEnsure compliance with data regulations; manage riskData laws, compliance, auditsData protection software, policy tools₹8–20 LPAChief Privacy Officer
Data Visualization DesignerCreate dashboards, visuals, infographics from raw dataCreativity, UX, simplification of insightsTableau, Power BI, Illustrator₹5–15 LPALead Designer, Viz Manager
Data EthicistGuide ethical data practices; assess decision risksEthics, governance, critical thinkingData policy tools, governance frameworks₹6–20 LPADirector of Ethics, Compliance Lead
Data Science EducatorTeach and design curriculum for data learnersCommunication, teaching, domain expertiseJupyter, LMS, Python (light)₹6–15 LPASenior Educator, Curriculum Head
Source: AmbitionBox

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.

FAQs

Ans. Some top non-coding data science job roles include Data Analyst, Data Visualization Specialist, Business Analyst, and Machine Learning Engineer.

Ans. Average salaries for non-coding jobs in data science in India can vary but typically range from ₹4,50,000 to ₹9,00,000 per year, depending on factors like experience and location.

Ans. Industries such as finance, healthcare, e-commerce, and marketing are actively hiring non-coding data science professionals in India to make data-driven decisions.

Ans. Data Analyst and Business Analyst roles in India often offer flexible working arrangements, including remote work options.

Ans. Proficiency in tools like Excel, Tableau, Power BI, and data visualization software is essential for non-coding data science professionals in India.

Ans. Certifications such as Google Data Analytics, IBM Data Science, and Tableau are beneficial for non-coding data science roles.

Ans. Non-coding data science professionals help organizations make data-informed decisions, optimize processes, and improve business strategies using data analysis and visualization.

Ans. Yes, strong soft skills such as communication, problem-solving, and critical thinking are valuable in non-coding data science roles as they involve working closely with stakeholders to translate data insights into actionable recommendations.

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Table of contents Table of contents
Table of contents Articles
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  1. Does Data Science Require Coding in 2025?
  2. Top Career Paths in Data Science That Require Little to No Coding
    • Business Analyst
    • Data Scientist Manager
    • Data Science Consultant
    • Machine Learning Engineer
    • Data Product Manager
    • Data Privacy Officer
    • Data Visualization Designer
    • Data Ethicist
    • Data Science Educator
  3. Top Non-Coding and Low-Code Roles in Data Science: Skills, Tools, Salaries & Career Paths
  4. Conclusion
  5. FAQs
    • Q1. What are the top Non-Coding Jobs in Data Science?
    • Q2. What is the average salary range for non-coding jobs in data science?
    • Q3. Which industries are actively hiring for non-coding jobs in data science?
    • Q4. What non-coding jobs in data science are known for providing flexible working arrangements?
    • Q5. What tools and software should a non-coding data science professional be familiar with?
    • Q6. Which relevant certifications and training are beneficial for non-coding data science roles?
    • Q7. How do non-coding data science roles contribute to the overall goals of a company?
    • Q8. Can individuals with strong soft skills succeed in non-coding data science jobs?