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Business Intelligence Engineer

Overview, Education, Careers Types, Skills, Career Path, Resources

Business Intelligence Engineers analyze data to provide actionable insights. They design, develop, and maintain BI solutions, helping businesses make informed decisions.

Average Salary

₹7,00,000

Growth

high

Satisfaction

medium

Educational Requirements

Education Requirements for a Business Intelligence Engineer

To become a Business Intelligence Engineer in India, a combination of formal education and specific skills is essential. Here's a breakdown of the typical educational path:

  • Bachelor's Degree: A bachelor's degree in a relevant field is generally required. Common fields of study include:

    • Computer Science
    • Information Technology
    • Statistics
    • Mathematics
    • Engineering
  • Skills Required

    • Data Warehousing and ETL : Understanding of data warehouse concepts and ETL processes.
    • SQL : Proficiency in SQL for data extraction, manipulation, and analysis.
    • Programming Languages : Knowledge of programming languages like Python or Java.
    • BI Tools : Experience with BI tools such as Tableau, Power BI, or QlikView.
    • Data Modeling : Ability to design and implement data models.
  • Certifications: While not always mandatory, certifications can enhance your credentials and demonstrate expertise. Relevant certifications include:

    • Microsoft Certified: Data Analyst Associate
    • Tableau Desktop Certified Associate
    • Certified Business Intelligence Professional (CBIP)
  • Master's Degree (Optional): A master's degree can provide more advanced knowledge and skills, potentially leading to better job opportunities and higher salaries. Relevant master's degrees include:

    • Master of Science in Data Science
    • Master of Science in Business Analytics
    • MBA with a focus on Analytics
Study Path
Top Colleges

Here are some of the top colleges in India that offer courses relevant to becoming a Business Intelligence Engineer:

  • Indian Institutes of Technology (IITs): IITs across India offer excellent B.Tech and M.Tech programs in Computer Science and related fields.

  • National Institutes of Technology (NITs): Similar to IITs, NITs provide quality education in technology and engineering.

  • Indian Institute of Management (IIMs): IIMs offer MBA programs with a focus on analytics and data science.

  • Birla Institute of Technology and Science (BITS Pilani): BITS Pilani offers programs in Computer Science and Engineering with a strong emphasis on data analytics.

  • Delhi University (DU): DU offers undergraduate and postgraduate programs in Statistics, Mathematics, and Computer Science.

  • Mumbai University (MU): MU offers various programs in technology and computer science.

  • Vellore Institute of Technology (VIT): VIT offers a range of engineering and technology programs with a focus on data analytics.

Fees

The fees for courses and certifications to become a Business Intelligence Engineer in India can vary widely depending on the type of institution and the depth of the program. Here’s a general overview:

  • Bachelor's Degree:

    • Government Colleges: ₹20,000 - ₹50,000 per year
    • Private Colleges: ₹80,000 - ₹3,00,000 per year
  • Master's Degree:

    • Government Colleges: ₹30,000 - ₹70,000 per year
    • Private Colleges: ₹1,00,000 - ₹5,00,000 per year
  • Certification Courses:

    • Online Platforms (e.g., Coursera, Udemy): ₹5,000 - ₹20,000 per course
    • Specialized Institutes: ₹20,000 - ₹50,000 per certification
  • Bootcamps:

    • General Range: ₹50,000 - ₹1,50,000 for a comprehensive program

To excel as a Business Intelligence Engineer, several exams and certifications can significantly boost your career prospects. These exams validate your skills and knowledge, making you a more attractive candidate for top companies. Here are some key exams and certifications:

  • Microsoft Certified: Data Analyst Associate: This certification validates your skills in using Microsoft Power BI to analyze data, create visualizations, and develop business intelligence solutions.

  • Tableau Desktop Certified Associate: This certification demonstrates your proficiency in using Tableau to create impactful data visualizations and dashboards.

  • Certified Business Intelligence Professional (CBIP): Offered by TDWI, this certification covers a broad range of BI topics and is well-regarded in the industry.

  • SAS Certified BI Content Developer: This certification validates your ability to use SAS BI tools to develop and deploy BI content.

  • Oracle Business Intelligence Certification: Oracle offers various certifications related to their BI tools, validating your expertise in using Oracle BI solutions.

Exam NameExam Date
Course NameAverage Fee
B.Tech Computer Science and Engineering Data Science logo
B.Tech Computer Science and Engineering Data Science
4,00,000
B.Tech Computer Science and Engineering in Data Science logo
B.Tech Computer Science and Engineering in Data Science
3,00,000
B.Tech Computer Science and Engineering with Data Science and Data Engineering Hons logo
B.Tech Computer Science and Engineering with Data Science and Data Engineering Hons
3,00,000
B.Tech Computer Science and Engineering with Specialization in Data Science logo
B.Tech Computer Science and Engineering with Specialization in Data Science
4,00,000
B.Tech Computer Science and Engineering Specialization in Data Science ML and AI with Upgrad logo
B.Tech Computer Science and Engineering Specialization in Data Science ML and AI with Upgrad
3,00,000
B.Tech Computer Science and Technology logo
B.Tech Computer Science and Technology
3,00,000
B.Tech Computer Science and Engineering Hons with Specialization in Big Data in Academic Collaboration with Xebia logo
B.Tech Computer Science and Engineering Hons with Specialization in Big Data in Academic Collaboration with Xebia
3,00,000
B.Tech Computer Science and Engineering Hons with Specialization in Data Science logo
B.Tech Computer Science and Engineering Hons with Specialization in Data Science
4,00,000
B.Tech Computer Science and Engineering with Big Data Analytics logo
B.Tech Computer Science and Engineering with Big Data Analytics
3,00,000
B.Tech Computer Science and Engineering with Specialization in Big Data Analytics logo
B.Tech Computer Science and Engineering with Specialization in Big Data Analytics
3,50,000
B.Tech Big Data Analytics logo
B.Tech Big Data Analytics
3,00,000
B.Tech Data Science and Engineering logo
B.Tech Data Science and Engineering
3,00,000
B.Tech Computer Science and Engineering Hons with Specialization in Artificial Intelligence and Machine Learning logo
B.Tech Computer Science and Engineering Hons with Specialization in Artificial Intelligence and Machine Learning
6,00,000
B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning logo
B.Tech Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning
6,00,000
B.Tech Artificial Intelligence and Machine Learning logo
B.Tech Artificial Intelligence and Machine Learning
3,00,000
B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning logo
B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning
3,00,000
B.Tech Computer Science and Engineering Artificial Intelligence And Machine Learning logo
B.Tech Computer Science and Engineering Artificial Intelligence And Machine Learning
6,00,000
B.Tech Computer Science and Engineering in Artificial Intelligence and Machine Learning logo
B.Tech Computer Science and Engineering in Artificial Intelligence and Machine Learning
4,00,000
B.Tech Computer Science and Engineering with Specialization in Machine Learning logo
B.Tech Computer Science and Engineering with Specialization in Machine Learning
4,00,000
B.Tech Computer Science and Engineering in Cyber Security logo
B.Tech Computer Science and Engineering in Cyber Security
3,00,000
Pros And Cons

Pros

  1. High demand and job security.
  2. Competitive salary packages.
  3. Opportunity to work with cutting-edge technologies.
  4. Impactful role in decision-making.
  5. Continuous learning and growth.
  6. Diverse range of industries to work in.
  7. Intellectually stimulating work.
  8. Opportunities for career advancement.

Cons

  1. High pressure to deliver accurate insights.
  2. Requires continuous learning and adaptation.
  3. Can be stressful due to tight deadlines.
  4. Risk of data breaches and security concerns.
  5. Potential for long working hours.
  6. Need to stay updated with latest trends.
  7. Dependency on data quality.
  8. Ethical considerations regarding data usage.