Are you someone who’s not interested in coding, but wants to get placed in tech through data science, and earn a handsome salary? Worry Not! Tech companies have various opportunities open for you even if you’ve no experience in coding. Data science has evolved to become one of the most sought-after fields in the tech industry.

While coding remains an integral part of data science, it’s not the only path to a successful career in this dynamic field. In 2024, tech companies and startups are expanding their teams to include professionals who excel in non-coding jobs in data science.

In this blog, we’ll explore the top 10 non-coding jobs in data science that are in high demand this year. These no-code roles in data science offer huge salaries, remote working opportunities, and promising career growth.

Top 10 Non-Coding Jobs in Data Science

Let’s have a look at the Top 10 Non-Coding Jobs in Data Science in 2024 that are ever-evolving and in demand:

1. Data Analyst

Data analysts play a crucial role in data science, focusing on interpreting and visualizing data to extract meaningful insights. They create reports and dashboards, helping organizations make data-driven decisions.

Roles:

• Collect, clean, and analyze data
• Create insights and reports for informed decision-making

Responsibilities:

• Data collection
• Cleaning and analysis of data
• Reporting
• Collaborating with teams to meet data needs

Core Skills Required:

• Strong analytical
• Critical thinking skills
• Proficiency in data analysis tools
• Communication
• Attention to detail
• Knowledge of statistical methods

Tools and Software Knowledge:

• MS Excel
• Tableau
• Power BI
• SQL
• Statistical analysis software.

Relevant Certifications and Training: Microsoft Certified Data Analyst, Google Data Analytics Professional Certificate

Salary Range: ₹3,50,000 to ₹12,00,000 per year.

Career Growth and Progression Paths: Data Analysts can advance to Senior Data Analyst, Data Scientist, or management roles like Data Analyst Manager.

Companies Hiring for Data Analysts:

• Google
• Amazon

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

• Work in-office
• Remotely
• Hybrid model

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Additionally, if you want to explore Python through a self-paced course, try GUVI’s Python self-paced course.

2. 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

Read More: Top Companies Hiring Business Analysts

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

• Work in-office
• Remotely
• Hybrid model

3. 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

Do read about the data science tools you should know.

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

4. 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

5. 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

Read More: Top Companies Hiring Machine Learning Engineer

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

• Work in-office
• Remotely
• Hybrid model

6. 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

7. 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

8. 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

9. 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

10. 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 Career Program 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 Self-Paced certification course.

Conclusion

In 2024 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

Q1. What are the top Non-Coding Jobs in Data Science?

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

Q2. What is the average salary range for non-coding jobs in data science?

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.

Q3. Which industries are actively hiring for non-coding jobs in data science?

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.

Q4. What non-coding jobs in data science are known for providing flexible working arrangements?

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

Q5. What tools and software should a non-coding data science professional be familiar with?

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

Q6. Which relevant certifications and training are beneficial for non-coding data science roles?

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

Q7. How do non-coding data science roles contribute to the overall goals of a company?

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

Q8. Can individuals with strong soft skills succeed in non-coding data science jobs?

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.