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Table of contents
1.
Introduction
2.
Deloitte
3.
Who is Data Analytics and Visualization Engineer?
4.
Salary and Perks
5.
Skills and Experiences Required 
6.
Responsibilities
7.
Career Map 
8.
Preparation Strategy
8.1.
Getting a Bachelor's Degree
8.2.
Software Development Experience
8.3.
A Master's Degree may be an Option.
9.
Resources for Preparation
9.1.
Interview and Programming Languages Resources
9.2.
Other Technical Resources
10.
Frequently Asked Questions
10.1.
Is data analytics full of coding?
10.2.
What is the role of a data analytics and visualization engineer at Deloitte?
10.3.
What are the three main objectives of data visualization?
10.4.
Does data visualization need coding?
11.
Conclusion
Last Updated: Mar 27, 2024

Data Analytics and Visualization Engineer at Deloitte

Author Kanak Rana
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Introduction

Are you interested in knowing what a Data Analytics and Visualization Engineer’s life looks like? Also, a tech geek with a creative mindset? If yes, you are perfect for this job profile.

 data analytics and visualization engineer at Deloitte

A data analytics and visualization engineer is a person having both mathematical knowledge to analyze and graphical skills to design. This article covers everything you need to know about the Data Analytics and Visualization Engineer at Deloitte. 

Let's start with knowing about the company!

Deloitte

Deloitte is one of the most popular accounting companies globally. The company has offices worldwide in more than 150 countries. Companies headquarters is in London, England. Deloitte provides professional services networks in the world in terms of revenue and the number of employees. 

Deloitte

William Welch Deloitte founded the company. Around 415,000 people worldwide work for Deloitte. It also offers audit, consulting, financial, risk, tax, and legal services.

Alright!! Now let's look into what this role is all about.

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Who is Data Analytics and Visualization Engineer?

A Data Analytics and Visualization Engineer in a company is a person who uses their knowledge of statistics and programming. They are the domain expertise to extract insights from data. Also, to create data visualizations and dashboards using data sets from different sources. 

Role

They typically have strong skills in mathematics, statistics, and computer science, including domain knowledge like machine learning in a specific industry. They use these skills to build predictive models, uncover patterns in data, and help organizations make data-driven decisions.

Salary and Perks

Following are the salaries of a Data Analytics and Visualization Engineer at Deloitte:

Salary
Average Annual Salary ₹ 8,56,000 per year
Estimated Take-Home Salary ₹50,000 - ₹ 62,000/month.

The salary figures mentioned above are subject to change.

The perks of a Data Analytics and Visualization Engineer at Deloitte are below:

perks
  • Paid time off and holidays.
  • Medical insurance.
  • Wellness programs.
  • Performance Bonus.
  • Job Training.
  • Free Car Parking.
  • Employee Help Programme.
  • Sports & Social Clubs.
  • Life Assurance.

Skills and Experiences Required 

Some important skills that are required include the following:

Skills and Experiences Required
  • The Candidate should have three+ years of working in Data Analytics.
     
  • The candidate also should have four+ years of working in Data Visualization. 
     
  • Candidate should be able to keep top Secret Clearance to keep up with the company's secrets.
     
  • Have the ability to work a hybrid schedule.
     
  • Also have a strong knowledge of statistical techniques, such as regression analysis and machine learning.
     
  • Should know about big data technologies, such as Hadoop and Spark.
     
  • Have strong problem-solving and critical-thinking skills.
     
  • Lastly, good communication skills to effectively convey findings to both technical and non-technical people.

Responsibilities

Some specific responsibilities might include the following:

Responsibilities
  • One must be able to create visually attractive dashboards with good content from AI/ML workflows that is easy to understand and take action on.
     
  • One must be able to make good use of best practices to guarantee dashboard design consistency for the best user experience.
     
  • One must know how to Visualize and present data to both technical and non-technical people.
     
  • One must know how to do Data analytics and user-facing dashboard design well.
     
  • Should analyze, report, visualization – reports, dashboarding.
     
  • One should be technically experienced with Excel and PowerPoint.
     
  • ETL(extracts, transforms, and loads)concepts and data warehouse/relational database concepts (i.e., understanding/exposure).
     
  • One should know how to work with customers/business owners to gather/develop requirements.
     
  • One should Collaborate with other teams, such as engineering, product, and business, to identify opportunities for data-driven decision-making.
     
  • One should Create, test, and design code for analytics platforms.
     
  • One should Find and fix bugs, trace code, and debug applications.

Career Map 

In the following way, the Deloitte career path looks like:

Career Map
  1. Analysts are the person who does research, analyze, and report on various topics. Using publicly present data, analysts look for understandings that can use to develop plans within companies.
     
  2. consultant is a person who works as a technology designer and develops new solutions to problems. They are also good as typical engineers. They can also work closely in a team that has technical skills.
     
  3. senior consultant is a person who helps solve various problems and increase business efficiency and sales. They can work in various fields, such as finance, management, and engineering. The senior technical consultant is the person who designs and implements technical and architectural solutions for projects.
     
  4. manager is a person who leads the company's development, implementation, and maintenance. With the help of technology systems and processes, including like troubleshooting problems.
     
  5. Senior Manager is a person who is responsible for giving strategic direction and managing program studies, getting involved in development and planning.

Preparation Strategy

At Deloitte, there are multiple steps in the hiring process, including a job application and an interview. It will be required to provide very good answers to several questions.

Getting a Bachelor's Degree

It is the basic need for becoming a data analytics and visualization engineer. One should get a bachelor's degree in an area that relates to software development or information technology. Try to get into classes during your schooling. It will help you understand and cover software development and testing more fully.

Software Development Experience

To be the right choice for this job, it's important to have software development experience. Try looking for an entry-level software engineer. Or data science engineering career, or apply for likewise internship program.

A Master's Degree may be an Option.

You can also consider getting a master's in fields like machine learning. You might stand out from other professionals applying for data analytics and visualization engineer jobs with a master's degree.

You can also learn more about data scientist skills. Get to increase your technical knowledge while completing a master's program.

Resources for Preparation

You can also check out the links below to prepare for your interviews. 

Resources for Preparation

Interview and Programming Languages Resources

Other Technical Resources


This video will help you to have a better understanding of how you can prepare for the aptitude test. Remember to check out this video.

We hope you found this article helpful!!

Frequently Asked Questions

Is data analytics full of coding?

Coding skills are not typically needed for jobs in data analysis, but some data analysts do have to do it on a day-to-day basis.

What is the role of a data analytics and visualization engineer at Deloitte?

By organizing the data into an understandable format and highlighting the trends and outliers, data visualization benefits in telling stories. A good visualization highlights important information while reducing data noise.

What are the three main objectives of data visualization?

The three main purposes of data visualization are exploration, monitoring, and explanation.

Does data visualization need coding?

Data visualization does not require you to have coding skills. It requires more SQL, and Excel knowledge.

Conclusion

In this blog, we have discussed a data analytics and visualization engineer at Deloitte. We have looked at the insights of a data analytics and visualization engineer, the skills and experience, the roles and responsibilities, and the career map for a data analytics and visualization engineer. 

To learn more about Deloitte, refer to the blogs given below.


You can also consider our Data Analytics Course to give your career an edge over others.

Happy Learning!

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