Overview
- Understand the various job roles and career opportunities in the data science industry.
- What's more, learn the skills needed for the data science industry job role.
Introduction
Increased use of the Internet globally is generating data at an unprecedented rate. With the pandemic hitting us, we consume and produce more data than ever. As a result, we see a significant increase in demand for more people in the data science industry. Consequently, the data science industry has been continually hiring people for various jobs.
But one of the things I've observed about these opportunities is the indistinguishable description of job roles.. Although most recruiters use the correct description for various data science jobs, the candidate may not be able to differentiate. Therefore, this confusion between job role and job description could lead the applicant to apply for the wrong jobs and miss out on appropriate opportunities.
I personally faced this last year while looking for an internship or a job as a Business Analytics Professional, but i couldn't find them. completed, or the job was demanding a lot more than an analytics professional is required to do. Or it just didn't match what a Business Analytics Professional does. Have you had the same experience?
Even in such a flourishing industry, there is confusion regarding job roles. A lax understanding of job roles can cost applicants the job and life of their dreams. And this is precisely the driving force behind the writing of this article.. I will review the different job roles in the data science industry along with the skill set required for each job role..
Note: If you are trying to get some resources to start your data science journey, here is a link to our free courses including e-books
Data scientist
This is the hottest job in the industry. Even Harvard couldn't deny that it called Data Scientist the “sexiest job of the 21st century”. Then, What does the job of a data scientist entail? What does a data scientist do?
First, understand the challenges or problems of the business and discuss it with stakeholders about it. The next task is to convert the defined business problem into a data science problem and use analytical and technical skills to better understand and solve the problem.. Finally, data scientists would provide the organization with the best solutions to address the underlying problem.
It is important for a data scientist to ask the right questions, process and clean data and perform exploratory data analysis. And it also builds multiple machine learning models based on set goals with the lowest possible error rate.. What's more, the Data Scientist works on problems that contribute to the non-linear growth of the company.
Pay scale reports that the average salary earned by an experienced is approximately 18,27,036 rupees per year.
Source: Data Camp
Check out this article to understand how to become a data scientist: your ultimate learning path to becoming a data scientist and machine learning expert in 2020
And to begin your journey in data science, take a look at our course: Introduction to data science
Data analyst
Data analysts take on a technical role in development, implementation and maintenance of analytical systems. Trabaja con los gerentes de proyectos para identificar métricas críticas y KPIKPIs, o Key performance indicators, These are metrics used by organizations to evaluate their success in achieving specific goals. These indicators allow you to monitor progress and make informed decisions. There are different types of KPIs, which may vary depending on the sector and the strategic objectives of the company. Its correct implementation is essential to improve the efficiency and effectiveness of operations...., and provide actionable information to relevant decision makers. Like the data scientist, the analyst also performs statistical analysis and creates predictive models.
They need to create and maintain rich interactive visualizations through data interpretation and analysis that integrate various reporting components. Coordinate with various departments in the organization to understand their data needs. After understanding the requirements, the analyst evaluates internal systems for efficiency, problems and inaccuracies, developing and maintaining protocols for management, data processing and cleaning.
Pay scale reports that the average salary earned by an experienced data analyst is approximately 8,52,516 rupees per year.
Source: Data Camp
Business analyst
The role of a business analyst is a slightly different but important role in the data domain.. The business analyst is responsible for using the data to drive business decisions. Serves as liaison between IT department and management. The analyst understands all technical aspects of the data industry. Pero su perspicacia empresarial y su capacidad para combinar la toma de decisiones con los datos lo convierten en una figure"Figure" is a term that is used in various contexts, From art to anatomy. In the artistic field, refers to the representation of human or animal forms in sculptures and paintings. In anatomy, designates the shape and structure of the body. What's more, in mathematics, "figure" it is related to geometric shapes. Its versatility makes it a fundamental concept in multiple disciplines.... importante dentro de la organización.
Business Analyst Analyzes Numbers to Smooth Business Processes. Identify the right target customers and also analyze the effectiveness of different campaigns. The business analyst also uses data to create various business plans.
Pay scale reports that the average salary earned by an experienced business analyst is approximately 11,89,684 rupees per year.
Source: Data Camp
In case you are not clear about how this role is different, see this article – Business analytics vs. data science – Which path should you choose?
And to start your journey in Business Analytics, take a look at our course: Introduction to business analytics
Statistical
The name itself is self explanatory. The statistician is someone who has a solid understanding of all the underlying statistics and methodologies. You are responsible for creating data-driven surveys, opinion polls and questionnaires. What's more, meets with management to discuss the best data collection methods.
A statistician uses his training in statistics to draw conclusions and make decisions accordingly. What's more, You can also be asked to create reports by analyzing and interpreting data for the administration and for different departments..
Pay scale reports that the average salary earned by an experienced statistician is approximately 11.000.000 rupees a year.
Source: Data Camp
Data and analytics manager
The Data and Analytics Manager assumes the role of assigning tasks and operations to the data science team. Manage cross-functional projects that have high data requirements. What's more, manager designs technical processes that support business issues. Above all, is responsible for the accuracy of the reports generated, as they will be used at various levels of the organization.
Analytics manager discusses hiring and training requirements for data team. What's more, the analytics manager must keep a complete report of everything that happens within his team. What's more, communicates the results obtained and the business impact of the insights to stakeholders.
Pay scale reports that the average salary earned by a seasoned Data and Analytics Manager is approximately 20,24,317 rupees per year.
Source: Data Camp
Database administrator
El administrador de la databaseA database is an organized set of information that allows you to store, Manage and retrieve data efficiently. Used in various applications, from enterprise systems to online platforms, Databases can be relational or non-relational. Proper design is critical to optimizing performance and ensuring information integrity, thus facilitating informed decision-making in different contexts.... asegura que la base de datos sea accesible para todas las partes interesadas de la organización. He monitors the database and makes sure that the database is working legitimately and that the necessary security measures are in place to keep the stored data safe.. Database administrator grants or revokes access to database information to employees.
Regularly install, update and manage database applications. The administrator also diagnoses and fixes database errors. What's more, maintenance of reports, database displays and dashboards are the responsibility of the database administrator.
Pay scale reports that the average salary earned by an experienced database administrator is approximately 10,84,793 rupees per year.
Source: Data Camp
Data engineer
The data engineer is responsible for transforming the data into an easily parsable format. They work closely with the data science team and are largely in charge of designing solutions for data scientists that allow them to do their jobs.. Data Engineer Creates Optimal Pipeline Architecture. They gather large complex data sets for business needs.
They build the necessary infrastructure for extraction, Optimal transformation and loading of data from a wide variety of data sources. The engineer also develops tools to extract useful information about customer acquisition.. Above all, strive for greater functionality in the data system.
Pay scale reports that the average salary earned by a mid-career data engineer is approximately 12, 35, 233 rupees per year.
Source: Data Camp
Data architect
The role of a data architect is to integrate, centralize, protect and maintain an organization's data sources. They often work with the latest technologies like Spark and always need to be on top of the game to stay relevant.. Data architects play an important role in creating a plan for the best possible database management. They also organize data at both the macro and micro level.
Besides this, data architects must have good database modeling and design skills. They are the ones who decide the storage and consumption of data within the organization. A data architect maintains the metadata record.
Pay scale reports that the average salary earned by an experienced data architect is approximately 20,54,167 rupees per year.
Source: Data Camp
EndNote
To sum up, in this article, We explore prominent job roles that exist in the data science industry. We show the different languages and skills necessary for each of the 8 Job positions. I hope it helps you decide which jobs to apply for in your future..
Have you been through the confusion caused by job descriptions? Share your experiences in the comment.
