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How To Become a Business Intelligence Analyst

Published By Team Setmycareer on Aug 12, 2023 updated on 08-11-2023

How To Become a Business Intelligence Analyst

business Analyst

Analysts in market intelligence (BI) convert data into observations that drive business value. BI researchers can find developments that can enable other teams, administrators, and administrators to make strategic choices to modernize and enhance operations in the enterprise by using information processing, data analysis, and data simulation strategies and technology. As businesses seek to make the most of the massive amounts of data they obtain, the position of the business intelligence analyst also becomes progressively significant. BI consultants usually find sources of sales decline and locate areas where changes can be created to save money or raise income for the firm. This is accomplished by the use of BI algorithms and resources to mine complicated data.


Eligibility Criteria

  • Must possess at least 50% aggregate from a recognized institution in 12th, from any board PUC/CBSE/ICSE/ISC, etc. However, the cut-off margin varies with the selection process of different colleges.
  • One must acquire a degree/diploma or certification in a recognized establishment to become a Business Intelligence Analyst. This is a basic qualification you must require to enroll in this line of work.
  • A Bachelor's degree in Computer Science, Business Administration, or Statistics can help you pursue a career as a Business Intelligence Analyst. However, to truly understand Business Analytics, you will require hands-on experience or a course tailored to teach you the specifics.
  • An MBA in Business Analytics can also prove to be helpful while looking for a higher degree and extensive learning..

Tasks to perform

  • To keep up with consumer or market patterns, interact with clients, rivals, vendors, professional bodies, or others.
  • Gather enterprise intelligence details from publicly published documents, publicly available data, research surveys, or acquired sources.
  • Evaluate technological developments to discover new opportunities for potential product growth or to boost sales of current products.
  • Combine emerging business insight or pattern data to endorse actionable guidelines.
  • Applying market analytics software to recognize and track existing and future customers.

Skills required

  • Selective Attentiveness – Focusing on key tasks that require utmost priority over some time without being liable to interruptions or distractions.
  • Focused Attention — Active listening entails paying close interest in what others are doing, taking the time to consider the arguments being raised, making statements as required, and refraining from disrupting at inopportune moments.
  • Surveillance — Keeping track of and reviewing your own, other people's, or organizations' results to make changes or take disciplinary measures.
  • Critical Analysis — Learning and identifying the strengths and weaknesses along with providing solutions and countermeasures to reduce the impact of potential problems.
  • Time Management — Interacting and switching between different tasks and activities without consuming excess time to provide results.

Is This Career Right For You?

Are you feeling uncertain about your career path? Not sure which direction to take? Take the first step towards a fulfilling future

A business intelligence analyst is a coveted career path for those who want to help companies make better data-driven decisions. As data continues to grow in volume and complexity, the need for business intelligence analysts will only increase. So how do you become one? This comprehensive guide covers everything you need to know, from education and skills to salary prospects and related careers.

The Role of a Business Intelligence Analyst

A business intelligence analyst is responsible for developing and implementing data analytics solutions to help businesses operate more efficiently and profitably. Their core duties include:

  • Collecting, cleaning and organizing data from various sources, both internal (CRM, ERP) and external (industry reports, government data). This involves data mining, modeling and analysis.
  • Identifying trends and patterns in complex data sets using statistical techniques and software tools like SQL, Python, R, SAS, Tableau.
  • Creating visualizations like dashboards, charts and graphs to communicate insights from data analysis. This helps senior leaders make better strategic decisions.
  • Making data-driven recommendations to improve business processes, reduce costs, identify new opportunities etc.
  • Collaborating with various teams like sales, marketing and product development to understand their data needs and configure analytics solutions.

In a nutshell, a business intelligence analyst bridges the gap between raw data and executable business strategy. Their specialized data skills allow them to transform complex information into actionable insights.

Education and Skills Needed

A bachelor’s degree in a quantitative field like statistics, mathematics, computer science, information systems or business analytics is the typical education needed for this career. Coursework should include classes on database technology, data mining, data visualization and statistics.

Specialized master's degrees in business intelligence, data analytics or data science can further develop technical capabilities. But relevant work experience and skills are just as important.

Here are some must-have skills for aspiring business intelligence analysts:

  • Statistical analysis and modeling - hypothesis testing, regression, predictive modeling etc.
  • Data mining techniques like clustering, segmentation, association etc.
  • SQL and database skills for extracting and organizing data
  • Data visualization software like Tableau, Power BI, QlikView
  • Programming languages like Python, R and Java for advanced analysis
  • Strong analytical and problem-solving skills
  • Math and quantitative skills for quantifying relationships
  • Communication and presentation abilities to explain data insights

Gaining domain experience in a specific industry is also an advantage when starting out. For example, healthcare analysts need to understand industry trends and terminologies.

Steps to Becoming a Business Intelligence Analyst

How can you get started on this rewarding career path? Here are the typical steps:

  1. Earn a bachelor’s degree in a data-related or business field with relevant coursework. Aim for an overall GPA of 3.0 or higher.
  2. Complete internships at companies to gain hands-on experience in data analytics and build your resume.
  3. Develop a portfolio of sample analysis and visualization projects to showcase your skills. Share on GitHub or a personal website.
  4. Learn business intelligence tools like Tableau, Power BI, Python etc. Earn relevant certifications to validate your skills.
  5. Apply for entry-level business intelligence analyst roles at companies. Look for junior data analyst jobs to get your foot in the door.
  6. Work for 2-3 years gaining more experience in BI tools, techniques and business domains. Seek out projects to build expertise.
  7. Consider a master’s degree in data science or analytics to move into more advanced roles. MBA programs also valuable.
  8. Attain higher-level certifications such as MCSE: Data Management and Analytics to boost credentials.
  9. Progress your career as a senior analyst, team lead or data analytics manager.

This career progression can happen quite rapidly in high-growth fields like tech where data skills are in continuous demand. With some experience under your belt, you can expect to see expanded responsibilities and salary growth.

Salary and Job Outlook for Business Intelligence Analysts

According to Glassdoor, the average base pay for a business intelligence analyst in the U.S. is $68,000 per year. But salaries can vary based on factors like:

  • Years of experience - entry-level (0-5 years) averages $60K vs $90K for mid-career (5+ years)
  • Industry - BI analysts in tech or finance earn more than other industries
  • Location - major metro areas pay more than smaller cities
  • Company size - large corporations offer higher salaries than startups

Bonuses, stock options and profit sharing may add another $5K - $20K or more to total compensation at some companies. As you move into senior roles, expect salaries over $100K on average.

The job outlook for BI analysts also looks extremely positive. The Bureau of labor statistics predicts 22% growth from 2020 to 2030 - much faster than average. This is driven by skyrocketing data volumes and demand for analytics skills in every industry. Investing in business intelligence analyst skills can pay off with plentiful job options.

Related Careers

A business intelligence analyst role can lead to other data-focused career paths, including:

  • Data Scientist- More advanced analytics and machine learning skills to uncover deep insights. Higher salaries.
  • Data Engineer - Focus on building and optimizing data storage and piping systems. Technical role.
  • Data Analytics Manager - Oversee teams of analysts and coordinate enterprise-wide BI strategy.
  • Product/Marketing Analyst - Apply BI skills specifically to understand users and improve products.
  • Quantitative Financial Analyst - Specialized data analysis for investment banks and hedge funds.
  • Business Intelligence Developer - Create custom BI solutions and applications for clients.

The collaborative, creative nature of business intelligence makes it a great springboard for progressing into leadership roles like Chief Data Officer or Vice President of Analytics.

Job roles offered

Once you procure the required qualifications for becoming a Business Intelligence Analyst, a myriad of options is open to you. There are multiple projects you can undertake throughout this line of work, and there are many other fields you can branch out to as well.

  • Data Miner: A data mining expert discovers secret knowledge in massive data sets, determines its importance and purpose, and comprehends how it corresponds to the enterprise. Data mining experts interpret data and create market strategies using mathematical tools. As a result, data mining experts must be proficient in both technical skills, particularly programming technologies, and business analytics. Data mining experts should have good experience in both data science and business management. Computer processing, data science, information technology, statistics, and business management, as well as any associated areas, are all applicable educational degrees.
  • Strategic Intelligence Analysis: In both a company or administration context, strategic intelligence is intelligence gathered and evaluated to make regulatory judgments. Strategic intelligence is a wide-ranging compilation of data that can be employed to guide broader tactical choices at the higher ranks. In the fact that the word is not associated with defense, it often connotes surveillance function. An intelligence analyst's job may be diverse, but it still includes strategic intelligence analysis in a certain manner. Strategic intelligence collection is the method of gathering and analyzing data to address complicated queries about existing processes, forecast possible requirements or actions, and formulate methods to operational problems.
  • Reporting Analysts: Reporting analysts collect and manage information market operations and documents. This entails simultaneously inserting data into current networks and developing new frameworks and practices for correctly inserting and storing sensitive data. To maintain accuracy, safety, and usability, they deal with database systems and metadata. Data analysis and evaluation are taken seriously by reporting analysts. Client activity generated by advertising agencies, monetary information and predictions generated by finance divisions, and employment records presented by human resource professionals in all examples of this, vary on the sector. To maintain an increased degree of precision, deliverability, and utility for business executives, reporting analysts must consistently use good judgment when reviewing and processing results.
  • Clinical Professor:Only long-term faculty members who perform an important instructional role in a clinical environment are eligible for the position of Clinical Professor. Although this rank's staff representatives may have extensive research, support, or distribution responsibilities, teaching is their main purpose. Roles of obligations that are essentially similar to that of tenurial professors are not eligible for the designation. Likewise, the designation is not intended to be a complete substitute for the names of professors and university administrators. Designation of these names will typically last three to five years, but will not extend five years.
  • Data Analytics Manager:A group of data scientists is led by a data analytics manager. They have put together the squad, making recruiting choices and determining where every other analyst's abilities would be most useful to the company. They supervise to ensure the consistency of an analytics department's function. They also head the charge in improving data collection and monitoring systems. They'll want a mix of data collection and corporate expertise to do so. Data analytics administrators will only make decisions about how to incorporate data analytics effectively if they consider both the corporation's short-term priorities and long-term growth strategies.

Career opportunities

Business Intelligence Analyst can opt for various fields of work in the companies listed below:

  • Dell Technologies
  • Paypal
  • Electronic Analysts
  • Eaton Technologies Private Limited
  • BCG, Boston Consulting Group
  • Eaglytics Co.
  • Cerner Corporation
  • Goldman Sachs
  • Schneider Electric
  • Amazon
  • ADuff & Phelps, A Kroll Business

Colleges offering courses

  • National Institute of Technology, Trichy
  • Narsee Monjee Institute of Management Studies, Mumbai
  • Great Lakes Institute of Management, Chennai
  • Symbiosis Centre for Management and Human Resource Development,
  • PuneSP Jain School of Global Management, Maharashtra
  • Narsee Monjee School of Management - Bangalore
  • Indian School of Business, Hyderabad
  • Indian Institute of Management, Ahmedabad
  • NMIMS School of Business Management, Mumbai
  • Xavier Institute of Management and Entrepreneurship, Bangalore
  • Entrepreneurship Development Institute of India, Gandhinagar
  • Lovely Professional University, Jalandhar



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