#TakeCharge with #Aimshala
Data Operations Manager
How make a career in Data Operations Manager
A career as a Data Operations Manager in the Textiles industry involves overseeing and optimizing data processes that support manufacturing, supply chain management, and product development. To pursue this career path, individuals typically require a strong academic background in data science, operations management, or a related field. A bachelor's degree is essential, often followed by a master's degree or specialized certifications in data analytics or operations management. Hands-on experience through internships or roles in data analysis or operations is crucial for enhancing employability. Networking with industry professionals and staying updated with the latest data management technologies and practices are also vital. With a combination of education, experience, and a passion for data-driven decision-making, one can build a rewarding career as a Data Operations Manager.
Career in Data Operations Manager
What are the roles and responsibilities in Data Operations Manager?
- Data Management : Data Operations Managers oversee the collection, storage, and analysis of data to ensure accuracy and accessibility for decision-making.
- Process Optimization : They identify inefficiencies in data processes and implement improvements to enhance productivity and data integrity.
- Team Leadership : Data Operations Managers lead teams of data analysts and operations staff, providing guidance and support for project execution.
- Collaboration with Departments : They collaborate with various departments, including manufacturing and supply chain, to align data strategies with business objectives.
- Reporting and Analysis : They prepare and present reports on data trends, operational performance, and recommendations for strategic initiatives.
What education is required to study Data Operations Manager
Check out the dates of the total number of candidates who have appeared in the CUET 2022 exam from the below table.
Stream |
Graduation |
After Graduation |
After Post Graduation |
|
|
Path 1 |
Completion of high school with a focus on mathematics, statistics, and computer science. |
Bachelor of Science in Data Science, Operations Management, or a related field. |
Master's degree in Data Analytics, Business Administration, or Operations Management. |
Certifications in data management or project management (e.g., PMP, Six Sigma). |
|
Path 2 |
Completion of high school with an emphasis on business studies or vocational training. |
Bachelor's degree in Business Administration or Industrial Engineering. |
Master's degree in Supply Chain Management or Operations Management. |
Certifications in specialized data analytics tools or methodologies. |
Feeling unsure about
your future?
Let's find the perfect career path for you!
with AI-powered career
guidance
What are the key skills required for Data Operations Manager
- Analytical Skills - Essential for interpreting complex data sets and making informed decisions based on findings.
- Communication Skills - Vital for effectively sharing data insights with stakeholders and team members.
- Project Management Skills - Important for managing multiple projects, timelines, and team collaboration.
- Technical Skills - Proficiency with data analysis software and tools is crucial for performing analyses and generating reports.
- Problem-Solving Skills - The ability to identify operational issues and develop effective solutions is key to success.
What are the career opportunities in Data Operations Manager?
- Supply Chain Analyst - Supply Chain Analysts focus on optimizing supply chain processes and improving efficiency through data analysis.
- Data Analyst - Data Analysts interpret data trends and provide actionable insights to support business decisions.
- Operations Manager - Operations Managers oversee production processes, ensuring efficiency and quality in textile manufacturing.
- Quality Assurance Manager - Quality Assurance Managers ensure that products meet quality standards through data-driven assessments.
- Business Intelligence Analyst - Business Intelligence Analysts leverage data to inform strategic business decisions and enhance operational performance.
What is the salary and demand for Data Operations Manager?
- Salary Overview - The typical salary for Data Operations Managers ranges from $60,000 for entry-level positions to over $120,000 for experienced professionals, with variations based on education and location.
- Regional Salary Variations - Salaries can vary significantly by region; for example, Data Operations Managers in urban textile hubs may earn more than those in less industrialized areas.
- Current Job Market Demand - The demand for Data Operations Managers is increasing due to the growing reliance on data analytics in optimizing textile production and supply chain management.
- Future Demand Projections - Future demand for Data Operations Managers is expected to rise as industries continue to integrate advanced data technologies and seek efficiency improvements.
Leading companies for careers in Data Operations Manager
Nike
Adidas
Levi Strauss & Co.
Hanesbrands
VF Corporation
Puma
Under Armour
American Eagle Outfitters
What are the best colleges for Data Operations Manager in India?
Undergraduate
College |
Location |
Website |
|
National Institute of Fashion Technology (NIFT) |
New Delhi |
https://www.nift.ac.in |
|
Indian Institute of Technology (IIT) Delhi |
New Delhi |
https://www.iitd.ac.in |
|
Sardar Vallabhbhai Patel International School of Textiles and Management |
Coimbatore |
http://www.svpitm.ac.in |
|
Manipal University |
Manipal |
https://www.manipal.edu |
|
Pearl Academy |
New Delhi |
https://www.pearlacademy.com |
Postgraduate
College |
Location |
Website |
|
National Institute of Fashion Technology (NIFT) |
New Delhi |
https://www.nift.ac.in |
|
Indian Institute of Technology (IIT) Bombay |
Mumbai |
https://www.iitb.ac.in |
|
Indian Institute of Management (IIM) Ahmedabad |
Ahmedabad |
https://www.iima.ac.in |
|
National Institute of Design (NID) |
Ahmedabad |
https://www.nid.edu |
|
Loyola Institute of Business Administration |
Chennai |
https://www.libab.edu.in |
What are the best colleges for Data Operations Manager in Abroad?
College |
Location |
Website |
|
Fashion Institute of Technology (SUNY) |
New York City, USA |
https://www.fitnyc.edu |
|
London College of Fashion |
London, United Kingdom |
https://www.arts.ac.uk/colleges/london-college-of-fashion |
|
Parsons School of Design |
New York City, USA |
https://www.newschool.edu/parsons |
|
Polimoda |
Florence, Italy |
https://www.polimoda.com |
|
Central Saint Martins |
London, United Kingdom |
https://www.arts.ac.uk/colleges/central-saint-martins |
What are the top entrance exams in India for pursuing a career in Data Operations Manager
College |
Tentative Date |
UG/PG |
Important Elements |
Website |
|
National Institute of Fashion Technology (NIFT) |
January |
Postgraduate |
General Knowledge, Analytical Ability, and Communication Skills. |
https://www.nift.ac.in |
|
Indian Institute of Technology (IIT) Delhi |
May |
Undergraduate |
Mathematics, Physics, and Chemistry. |
https://www.iitd.ac.in |
|
Sardar Vallabhbhai Patel International School of Textiles and Management |
April |
Postgraduate |
Textile Science, Operations Management, and General Knowledge. |
http://www.svpitm.ac.in |
|
Manipal University |
June |
Undergraduate |
Mathematics, English, and General Knowledge. |
https://www.manipal.edu |
|
Pearl Academy |
February |
Postgraduate |
Creative Skills, General Knowledge, and English. |
https://www.pearlacademy.com |
Pros & Cons of a Career in Data Operations Manager
Pros
- Data Operations Managers play a critical role in optimizing processes and enhancing efficiency within the textiles industry.
- The field offers competitive salaries, particularly for those with advanced degrees and specialized skills.
- Professionals contribute to sustainability efforts by improving operational practices and reducing waste.
- The career provides opportunities for continuous learning and advancement in a rapidly evolving data-driven environment.
Cons
- The job can be demanding with tight deadlines, especially during peak production periods.
- Some roles may require extensive collaboration with multiple departments, which can be challenging.
- The reliance on technology means that professionals must continuously adapt to new software and tools.
- The work may involve long hours or high-pressure situations during critical project phases.
Did you find this information helpful?
Report
0 out of 0 found this helpful
