Business Intelligence Analyst Interview Questions

Business Intelligence Analyst Interview Questions

Business Intelligence Analyst Interview Questions

Everything you need to know about hiring a Business Intelligence Analyst

Why hire a Business Intelligence Analyst?

Data is rapidly becoming the fulcrum of vital business decisions. But how do you draw patterns and make predictions from the ocean of data on the internet? Enter Business Intelligence (BI). 

The broad term relates to the operation and management of data processing tools and systems. As the core of the marketing efforts, BI extracts actionable insights from data to make informed decisions

For example, sentimental analysis of social media posts helps companies know about consumer buying behavior, identify market trends, and campaign effectiveness, and explore potential growth opportunities. 

BI Analyst is one of the most in-demand roles in the STEM (Science, Technology, Engineering, and Mathematics) field. Tech recruiters leave no stone unturned to hire great top tech talent for the role. But a BI Analyst’s job is fluid and differs across industries. That being so, our tech hiring guide gives perspicacity into recruiting tech talent.

What is a Business Intelligence Analyst?

A Business Intelligence Analyst uses data to help navigate business decisions. The career revolves around breaking down the business data, interpreting the findings, and sharing them for business growth and recommendations. 

Also called a BI analyst, a typical day for the role includes data collection, analysis, and then sharing the information with the right audience. In short, it’s all about the practical application of data insights.

Ideally, tech recruiters look for the three core skills in a BI Analyst:

  • Domain knowledge
  • Expertise in analytics tools
  • Understanding of business problems

Why are Business Intelligence Analysts in high demand?

One good reason for a job in business intelligence is the evergreen demand outlook. As per Emergen research, the BI industry is predicted to attain a value of $60.49 bn by 2027, with a CAGR of 11.2% during the forecasted timeline.

 Having said that, the majority of the industries need competent BI analysts to support them in multi-dimensional analysis and empower them to make strategic business decisions. As per the Global  Business Intelligence market, more than 43% of business enterprises are using BI solutions

The U.S Bureau of Labor Statistics notes that careers in data or information security are the 10th fastest growing jobs in the coming decade with a projected growth rate of 21% between 2020 and 2030. 

Related Read: How to Hire a Senior Data Scientist

Business Intelligence Market

Source: marketsandmarkets

Average pay for Business Intelligence Analyst

As per Glassdoor estimates, the national average for a Business Intelligence Analyst’s salary in the USA is $85,690 per year, with an added compensation between $1,538 – $20,647.

Business Intelligence Analyst KPIs:

The core objective of BI Analyst is to translate data into value-creating revenue streams. Additionally, the insights must not be a cookie cutter or prove costly to the business.

Here are the standard KPIs to validate the performance of a BI Analyst.

  1. Net profit
  2. Net promoter score
  3. Customer engagement
  4. Customer complaints
  5. Market share
  6. Share of voice
  7. Carbon footprint
  8. Supply chain miles
  9. Employee churn
  10. Return on Investment (RoI)

Business Intelligence Analyst Job Description

It’s not only enough if you love data, technical hiring managers emphasize hands-on analytical tools and projects that prove your mettle. 

Certifications like CBIP (Certified Business Intelligence Professional) or IBM Cognos Analytics strengthen your resume.

A typical job description is here to tell you what a BI Analyst does.

  1. Create an Analytics plan for the short term and medium term and a roadmap for the longer-term 
  2. Determine visuals and mapping of KPIs to visualization type (graphs, charts, widgets, dashboards ) for BI presentation layer PoC (Proof of concept)
  3. Design and execute combined Spotfire and R-based dashboards with an informative and intuitive combination of analytics to identify critical business issues 
  4. Maintain and update developed analytics based on business-side requests, including suggestions on metric improvements and additions
  5. Convert recommendations into action plans in liaison with senior management
  6. Perform qualitative and quantitative market research using third-party syndicate measurements, ComScore, Nielsen, and eMarketer
  7. Prepare daily reporting platform support (SSRS and Business Objects)
  8. Monitor and check business intelligence tools, methods, or systems for process and data validation
  9. Serve as an intermediary between internal and external customers and subject matter experts (SMEs)/EDW team

Recommended Read: How does Recruitment Automation Helps you Hire Top Talent

Business Intelligence Analyst Interview Questions

1) How do you explain Business Intelligence to a 5-year-old kid?

2) What important BI Tools do you use?

3) Walk us through the BI process

4) Explain some of the important features of Data warehousing

5) How familiar are you with the terms OLAP, DOLAP, MOLAP, HOLAP, and ROLAP?

6) Give us a brief idea about the responsibilities of a BI analyst

7) Name some important documents used in SDLC

8) What do you mean by Gap Analysis? What are the different kinds of Gap analyses?

9) What are some of the prerequisite skills necessary for a BI analyst?

10) What is the importance of MoSCoW and SWOT in BI?

Best Practices for hiring Business Intelligence Analyst

Careers in Business Intelligence are in vibrant demand as they are versatile geniuses when it comes to data insights. Their roles also significantly vary based on the SME and metadata in the business enterprise. For starters,  tech recruiters must create the right hiring strategy for attracting top talent. For example, knowing the basic jargon helps you communicate easily with the candidates.

Unfortunately,  a majority of the recruiters are still stuck in the age-old recruitment methods. That’s why hiring red flags like over-reliance on credentials rather than competencies and lack of advanced evaluation tools in skill assessments have severely limited the talent pool. 

Recruitment software like Glider AI takes candidate evaluation to the next level. Through a structured and standardized process, interviews are made candidate-friendly and also accurately assess skills and competencies. Hiring is not only bias-free but evaluated on real-world scenarios as well.

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