What things to know to become a data analytics consultant?


SOURCE: ANALYTICSINSIGHT.NET
OCT 03, 2021

A complete guide on things to know to become a data analytics consultant

Roles and responsibilities: Analytics consultants are in charge of developing and implementing analytics solutions for the organizations. They are responsible for creating data mining projects and utilize that information to increase consumer brand awareness and revenue. The main role of a data analytics consultant is to create reports for business users. They use programming skills to sort through large amounts of information and complete data processing and analytics to suggest business processes. He/She is the one who demonstrates leadership roles and the ability to work with teams. They need to be multitaskers in order to prioritize time-sensitive products. They report their progress to the analytics supervisor or administrator in their company.

Average salary (Per annum): US$95,151

Qualifications:

  • A bachelor’s degree in mathematics, statistics, accounting, or related fields.
  • Should have strong interpersonal skills to interact with clients and patterns.
  • Should have problem-solving skills
  • SQL, Tableau software, statistical analysis, Microsoft excel software
  • Proficiency in data analysis tools like Bigbig data-Hadoop Hive, Data visualization, Oracle business intelligence, etc.

Top 3 Online Courses:

Business Analytics Specialization (Coursera): This course is offered by Coursera Coursera along with John Hopkins University, it is a ten-course program that helps you understand the data science pipeline at a basic level. Students with beginner’s level experience in Python can be an added advantage. This gives an understanding of the business analytics giving a grip over consultation.

Excel to MySQL: Analytic Techniques for Business Specialization (Coursera): This course is offered by Coursera along with Duke University will teach students how to answer business questions with data. The program has five courses making a business more competitive before moving on to classes on Excel, Tableau, and MySQL.

Big Data Analytics with Tableau (Pluralsight): This is a highly enrolled course by Pluralsight that can help students become a Tableau experts within 4hours. It covers topics like big data analytics and how to actress and visualize big data with Tableau. Tableau is one of the popular data visualization tools that can help you become technically fluent in using the software.

Top 3 educational institutionsInstitutesOffering a Program: with degree:

  • Bachelor’s in Computer Science along with Data Science and Economics: Massachusetts Institute of Technology.
  • Bachelor’s in Data Science: ESSEC and CentraleSupelec.
  • Bachelor’s and MastersMaster’s in Data Science: IE Spain

Top 5 Recruiters for This Job:

Fractal Analytics: The company has emerged as one of the top analytics services service providers in the country. The company has a global footprint boasting of several Fortune 500 companies from industries like retail, insurance, and technology. It has many branches in all parts of India hiring new positions.

Amazon: Amazon is one of the biggest e-commerce companies around the world and is also among the top data science recruiters worldwide. Amazon relies on its data scientists for several core operations like supply chain optimization, fraud, and fake review detection, multivariate testing, inventory, and sales forecasting, advertising optimization, and HR analytics.

Deloitte: Deloitte is part of the Big Four, offering services like consulting, financial advisory, tax audit, and enterprise risk across the globe since 1845. Data scientists at Deloitte undertake several analytics projects which may be multidisciplinary in nature. Their responsibility is to simplify complex and large data and ensure that it is easy to understand my clients.

LinkedIn: LinkedIn was one of the first companies to have a team of data scientists.Since Scientists. Since it is a social networking service it allows its users to excel in their professional links. This also demands data interpreters to understand and enable business in making better decisions.

MuSigma: It is the largest solutions provider relating to science decisions and analytics. Data scientists here would involve analyzing data, tuning it, and making it simple for evaluating results. These results then are used to make crucial decisions in the organizations.