How to ace your data analytics interview in 2022

Data analytics is the corporate buzzword of the decade. As companies are getting more tech-savvy, big data is gaining global domination. If you want to be a successful conglomeration in the future, you need to tap into the data mine today.

Analytics use stored online information to benefit sales, profits and performance. No wonder more and more corporations are signing up. 

If you are a budding data analyst, that is good news for you. Job listings are increasing in number. The demand is high. And the opportunities are exceedingly lucrative. It is the right time to be in the data business. However, you will need to convince prospective employers that you are the best candidate for the job opening. 

Data science is a complex method that needs high-quality professionals with a sharp eye for details and a strong head for logic. A qualification from any of the best data analytics courses can also help you prepare for your first interview.

You get one shot to convince the company you have what it takes. This post will help you prepare for that much-coveted interview and help you land the entry-level job that can lead to more rewarding possibilities.

Commonly asked data analytics interview questions

Your resume is shortlisted. Now it is time to bring out the big guns and blow away the recruiter at the interview. The best way to do this is to plan for questions that may come up during your first meeting. Such as:

“What are the responsibilities of a data analyst?”

  • Analyse data to predict consumer behaviour, spending habits and patterns
  • Discover ways to boost productivity and sales 
  • Help in making sound decisions based on the research findings
  • Use the latest software tools to maintain databases for easy access 
  • Convert the recorded information into insights 
  • Be aware of the latest trends and emerging technology 

“How well do you understand: (insert industry term here)?”

Your recruiter could ask you to define a well-known data terminology. It is important to show you have grasped all basic concepts well.

Let’s say, they ask you about data wrangling: 

It is a method where the analyst collects the raw data and cleans it up to appear coherent and structured. It is formatted in a comprehensive way so that the team can gather insights and make sound decisions. Essentially, you are converting a big, complex jumble of data and simplifying it for easy access.

Similarly, they can also ask you about these terms: 

  • Data mining
  • Visualisation 
  • Predictive modelling
  • Aggregate and microdata
  • 5 Vs of big data
  • Business intelligence

So make sure you know your concepts well. If you have done the prestigious PGCM data analytics course, you will be able to define the terms in a clear, coherent manner. 

“How would you measure our company’s performance?”

They want to know if you have done your homework about the organisation before the interview. Always do the research. 

What are the company’s business goals and targets? 

What problems do you think they may encounter?

What is their place in the industry? 

How do they fare compared to the competition? 

How would you use your skills to add value to the business? 

Think it over, plan your strategy and then calmly explain your ideas to your interviewer.

How good are your software skills?

It is a technology-driven job. If you are not adept at using algorithms and software systems, you might as well work in a Macdonald’s. If you have a data science certification, you might already be well versed in the following programmes:

  • Python 
  • R
  • Microsoft Excel
  • Tableau
  • Power BI
  • SQL
  • Machine learning

You need to efficiently use these tools and techniques to analyse the data and arrive at a well-crafted solution.

“What problems could occur during data analysis?”

It is good to be aware of the challenges that could crop up on the job. Here are some of the issues you could discuss with the employer.

  • Duplicate data
  • Tampered data quality such as spelling errors 
  • Collecting accurate data at the right time
  • Incomplete data
  • Tackling any storage problems
  • Securing the data and other compliance issues

You could also discuss data cleansing or wrangling as one of the means to fix some of the problems. 

“How would explain data analysis to a layperson?”

Data analysis is a quantitative method where qualified analysts collect, study and classify data to create insights and ideas that can help a company improve their performance and increase profits. 

“How would you differentiate data mining from data profiling?”

Data mining is when companies look for hidden patterns in large batches of data. It is then converted into useful information to create business strategies and sales plans.

Data profiling is cleansing and categorising data into structured systems, so they can be ready for further analysis, such as the quality or authenticity of the data. 

“How would you confirm if a developed data model works?”

A reliable database model can make predictions for the future. An efficient model can adapt accordingly to changing circumstances and is scalable. 

“How would you confirm that the data validation is successful?”

There is a two-step method when we validate data. 

Step one, screen the data using multiple algorithms to spot any inaccuracies or fallacies. 

Step two, we verify the data by evaluating and examining the information.

“What are the leading trends in data analytics in 2022?”

  • Composable analytics 

Using various techniques from data analysis, artificial intelligence and machine learning to enhance the productivity and performance of the organisation

  • Data fabric

This technique uses several data services and practices across multi-cloud platforms to provide cost-saving, time-efficient and less complex solutions to a myriad of problems. 

  • Real-time data visualisation 

Businesses will be able to perform daily functions by using live data analysis to make decisions.

  • Cloud-centric applications

As companies are moving towards data-centric operations, there is a huge shift towards migrating all services and data onto a cloud-based infrastructure. 

5 top skills you get with a data analytics certification 

  • Good knowledge of statistics and mathematical concepts

This skill is helpful when you are managing and organising bulk data. It will help you make accurate measurements. 

  • Software programming languages and database management systems

Proficiency in SQL, R, MATLAB, Tableau and Python will help you excel at your job.

  • Problem-solving abilities 

Can you check over realms of data, spot the discrepancies and fix the issues? Then this is the right job for you.

  • Good written and verbal communication skills 

Professionals who can express themselves eloquently and coherently are good at explaining complex data-oriented results. 

  • Machine learning expertise

As artificial intelligence plays a role in data science, you need to be skilled at using statistical methods and algorithms when deriving solutions. 

Proschool PGCM in data analytics 

A data analytics certification on your resume can open up doors, enhance opportunities and land you on the interview shortlist. You learn the right mix of tools, techniques and skills to make your mark on this rapidly evolving industry. Backed by the AICTE and formulated by the AIMA, this postgraduate course can be a prestigious feather in your professional cap. Here are some of the unique features:

  • One year program that offers a one-year exemption for an MBA-equivalent diploma course
  • Detailed education on important analytic tools such as SQL, Microsoft Excel, Tableau and Python
  • Subjects include 
    • Business statistics, 
    • Marketing management
    • Data handling with SQL and Python 
    • Advanced machine learning
    • You will receive a PGCM and NSDC certification
    • You can learn in a live classroom with expert faculty or online 
    • This program focuses on teaching skills required for entry-level jobs, so you have an advantage over other applicants
    • After completing the course, you can earn Rs 4 to 9 lakhs a year 

In conclusion 

Data is transforming the world around us. The PGCM in data analytics course can help you develop essential skills, enhance your knowledge and become an expert in the field of data science. When you go for your first interview, prepare in advance and be confident in your abilities. When the time comes, you will be a shoo-in for the job. 

To add a PGCM in data analytics certification to your resume, click here