Data Analytics

Work-From-Home Data Analytics Jobs – A Full Guide

Work-from-Home Data Analytics jobs are the new in-thing in today’s digital age as data, and technology is almost omnipresent. Data analytics is the technique for extracting data that varies as per the requirements of the individual Corporate house. In this process, raw data is extracted, analyzed, and categorized to identify the patterns affecting the overall performance of the company. With the aid of specialized tools, software, and systems, the innumerable tasks of Data Analytics are accomplished.


In Data Analytics, any type of information can be exposed to Analytics. For example, the runtime, downtime, and the work queue for all the machines are often recorded by the manufacturing companies. Followed by this, the data is analyzed to estimate the workload on each machine.

This helps in much feasible planning of the workload on machines so that they could operate very close to their maximum capacity. The sole factor responsible for the creation of the Data Analytics field is the generation of massive amounts of data. This industry is expected to hit the $118.7 billion mark by the year 2026.


Why Data Analytics is Beneficial?

The experts involved in Data Analytics jobs are contributing to optimizing the performance of trillions of businesses around the world. The actionable insights generated by Data Analytics on Customer Behaviour provide a competitive edge to organizations.

E-Commerce, Finance, Logistics, Banking, Healthcare, Supply Chain, etc. are just to name a few fields where there is immense scope for Data Analytics. The insights on market trends gathered by Data Analytics assist businesses in making data-driven decisions to maximize profits.

Data Analytics also offers information regarding Customer Preferences and Experiences. With the proper usage of this information, businesses can customize their services and products in consonance with the requirements of their customers.

Apart from being an integral element of the Corporate World, Government is also reaping its benefits to ensuring public welfare by improving City Governance and the affairs of the State. The issues at the macro level are well sorted out by the Government agencies to expand their services.

For Data Analytics professionals, the issue of identification of cost-cutting options as well as enhancement in revenue growth of businesses is of paramount importance. Statistics is converted into meaningful business information, and finally to publish the conclusion.

A 360-degree perspective regarding the customers is laid down by Data Analytics experts post thorough analysis of business data.

Business houses come to know about the preferred channels of their customers, their interests, demographics, purchase behavior, and much more. These valuable insights become the cornerstone for preparing feasible marketing strategies to attain success.


Applications of Data Analytics

There are diverse applications of Data Analytics in today’s high-end technology age. The First and foremost is Financial Analytics which is a significant segment of Data Analytics. Financial Analytics focuses on specific finance-related challenges faced by Corporate Houses.

It seeks solutions for these challenges and also forecasts the future of the business in the field of finance. Healthcare Analytics holds the second most significant position as a Data analytics segment.

These Analytics gather insights to improve healthcare-related decisions. In long term, patients get immensely benefited on the successful implementation of these decisions. The diagnosis gets accurate and there is enough scope for the practice of preventive strategies.

Yet another arena where technology has effective usage is in the Human Resources domain. HR Analytics plays a vital role in talent acquisition by helping the recruiting team to source deserving talent.

The field of logistics and delivery utilizes Data Analytics to properly manage operations. It is much easier for them to find the estimated delivery times and the best shipping routes. Companies like FedEx and DHL are leaders in this field and can nicely track the real-time status of the despatched goods with the use of GPS trackers.

The transportation system and the intelligence associated with it are widely improved by the application of Data Analytics. The transport problems like traffic and network congestion can be easily figured out by Data Analytics. This helps in reducing the number of casualties and accidents at any point in time.


Industries That Benefit Most from Data Analytics

Though Data Analytics is universally in – demand in almost every industry,  it finds unfathomable acceptability in certain industries mentioned below:

  1. Banking and Securities
  2. Pharmaceutical and Healthcare Industries
  3. Media and Entertainment
  4. Insurance
  5. Manufacturing
  6. Transportation
  7. Energy Sector, and
  8. Education


Skill-set Required To Be a Data Analytics Expert

Organizations are fast- adopting Data Analytics professionals. Considering the rapid pace with which it is emerging, it has become one of the most promising career options nowadays. The 2022 report of LinkedIn’s “Job on the Rise” states that Data Science Specialists and Machine Learning Engineers are the most in-demand jobs in the times to come.

Certain technical skills hold immense significance for professionals working in the field of Data Analytics. These skills are briefly mentioned below:


  1. Microsoft Excel

Considered to be simply a Spreadsheet, Excel is the most powerful analytical tool required for Data Analytics professionals. Aspirants in this field can outperform in the field of Data Analytics by simply learning some advanced Excel techniques for faster analytics.


  1. Knowledge of Programming Languages like Python and R

Fluency in programming languages like Python and R is an asset for those aspiring to work in this field. Both these programming languages offer frameworks for data collection and processing which allows professionals to handle large volumes of data sets.


  1. Machine Learning

A number of algorithms and approaches related to Machine Learning and Natural Language Processing are mandatory to learn for professionals in Data Analytics.


  1. SQL

SQL or Structured Query Language is the most widely used database language in the Data Analytics industry. Knowledge of SQL is required for the efficient management and storage of data along with the creation of structured databases. Hence, every professional working in the field of Data Analytics is supposed to be conversant with it.


  1. Data Visualization

Data visualization is the graphical representation of one’s insights by using graphs, charts, or any other form. It holds a lot of significance because of the fact that it has a big impact on how data has been viewed by a client or the business. Several visualization products like Power BI and Tableau are at hand in the market which is quite user-friendly.


Apart from the above mentioned technical skills, some specific soft skills, if nurtured well could bring laurels to the professionals working in the Data Analytics industry. Some of these soft skills worth mentioning are listed below –


  1. Critical Thinking

The thinking that involves questioning at the initial phase followed by analysis, interpretation, and evaluation prior to making the final judgment is called Critical Thinking. Critical thinkers amalgamate well in the Data Analytics industry as their good analytical skills help them in identifying patterns in the best possible manner.

Based on these patterns, they are able to derive logical and actionable insights which can be used to upgrade the performance of the concerned organization.


  1. Problem-Solving Skills

Excellent problem-solving skills constitute a vital component of the profile of a Data Analytics expert. This virtue is significant to combat the situation when they encounter any bug or error that demands high-end technical expertise.


  1. Communication

All high-grade technical skills fail to bring the desired consequences if the Data Analytics professionals are incompetent enough to communicate the ramifications of their hard work with their team or clients. So, communication is a non-negotiable skill for professionals working in the Data Analytics industry.


  1. Collaboration

The roles and responsibilities of a Data Analytics expert include collaboration with other experts, team-mates, and clients on a day-to-day basis. To work harmoniously with all the stakeholders on board, collaboration becomes an indispensable quality that should be honed to excel in the field of Data Analytics.


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Benefits of Work-from-Home Jobs

The following reasons can be attributed to the numerous advantages of work-from-home jobs in today’s fast-paced world –


  1. Flexibility

In work-from-home jobs, employees can work at their convenience during the most productive hours of the day. They can take a break whenever required and restart their work after a rejuvenating break.


  1. Better Productivity

In work from home setup, there are no usual office distractions and no futile interactions with colleagues. This ensures better attentiveness on the part of the employees which leads to enhanced productivity.


  1. Zero Commute Time

Doing away with commute time is another notable advantage of work-from-home jobs. Commuting to offices located in far-flung areas actually drains lots of human energy. This results in a loss of creativity as well as productivity.


  1. Independence

In an office environment, a lot of switching between tasks is witnessed. Also, there are unwelcome opinions regarding the issue of prioritization of tasks. But, in remote settings, various tasks can be liberally prioritized with appropriate time management and discipline, in the absence of any sort of interference.


As the data market expands, there is more location-independent work available for Data Analytics professionals. This shift in the outlook of the big Corporate Houses has led to an escalating popularity of work-from-home Data Analytics jobs. Finding a remote job in the field of Data Analytics might be a Herculean task for the freshers but it is certainly achievable.


Best Companies That Offer Work-from-Home Data Analytics Jobs

  1. Tata Consultancy Services

Named among the World’s Most Admired Companies, Tata Consultancy Services is a Business Solutions, Consulting, and IT Services organization serving its honorable partners and clients for the last 50 years. It offers many entry-level as well as Senior-level work-from-home Data Analytics jobs.


  1. Amazon

Amazon has been governing the e-commerce platform for countless years. Be it Amazon’s Prime Delivery or the Amazon Web Series, this company eternally strives for operational excellence. The work-from-home Data Analytics professionals receive a handsome package with fascinating perks.


  1. Capgemini

Capgemini is a thriving company of a collective of industry experts, progressive thinkers, and entrepreneurs who are highly driven to use Data and Technology to the fullest. Capgemini India has diverse job opportunities to suit the individual area of expertise of the pushing aspirants.


  1. EPAM Systems

EPAM Systems Inc. is a leading player in the field of Digital Platform Engineering and Product Development. It is also a highly-ranked digital and product design agency since 1993. Located in Bengaluru, India, EPAM Systems extends numerous work-from-home Data Analytics jobs with luxurious perks as per the latest industry standards.


  1. Calix

Based in Bengaluru, India, Calix provides world-class Cloud and Software Programs. It also provides services and solutions for a unified access network. The work-from-home Data Analytics jobs openings at Calix are very promising.


  1. DataRobot

Founded in the year 2012, DataRobot’s headquarters are in Boston. A leader in value-driven Artificial Intelligence, DataRobot’s Artificial Intelligence platform has broad ecosystem interoperability. The company has an extra edge in the field of work-from-home Data Analytics jobs.


Some of the Common Roles and Responsibilities Pertinent to Data Analytics Jobs Are Presented Below:

  • To create, organize, and manage business databases.
  • To correct the coding errors after their identification for the efficient functioning of these databases.
  • To perform Data Mining and Data Wrangling on Data sources.
  • To prepare reports depicting trends, patterns, and forecasts by using business data.
  • To analyze data sets that are beneficial for diagnostic as well as predictive data analytics jobs.
  • To focus on the creation of documentation for the stakeholders to comprehend the varied phases of the Data Analytics process.
  • To work closely with other teammates, such as Data Scientists, Data and Analytics engineers.


Here are the best data analytics courses:


Work-From-Home Jobs in the Field of Data Analytics

In the real-time world, data has practically overpowered every industry one can think of. The huge salary package with fascinating perks appeals to one and all. The work-from-home Data Analytics jobs can be broadly categorized into the following segments –


1. Entry-Level Data Analytics Professionals:

The career curve of every Data Analytics professional kicks off from entry-level positions. The precise roles and responsibilities of this position are, by and large, dependent on the kind of hiring industry. For example, a professional overlooking the job of Financial Analytics would be dealing with the analysis of figures and studying the latest trends to strengthen the concerned business financially.


Certain roles and responsibilities of the Entry-level Data Analytics Professional are listed below –

  1. Collection and Management of Data.
  2. Analysis of Data
  3. Development of a Data Model
  4. Validation of Information
  5. Management of Data Cleanup
  6. Research on Business Data to identify trends


2. Mid-level to Advanced Level Data Analytics Professionals:

Possession of a good skill set can assist an Entry-level Data Analytics professional to scale newer heights. At the senior level, Data Analytics professionals execute high-level computations by utilizing analytical software and machine learning technologies.

These specialists are frequently made to lead big projects and may also be deputed to oversee and supervise junior Data Analytics professionals. They may also be felicitated with the designation of Department Head or President or Vice–President of the company.

Owing to the good interpersonal skills of a particular Data Analytics professional, he/she can be hired as a Consultant in any firm. Such consultants are hired by firms like Insurance Firms, Marketing Firms, Healthcare organizations, etc.

The roles and responsibilities which fall under the domain of Mid-level and Advanced-level Data Analytics experts are discussed below –

  1. To manage, organize, direct, and lead all the analytics projects.
  2. To establish all the Data Analytics processes including performance metrics and quality criteria.
  3. To review project plans as well as deliverables and timelines.
  4. To recruit and train new teammates.
  5. To approve frameworks and data models.
  6. To ensure that the Data Analytics strategy is in consonance with the wider objectives of the business house under consideration.


Where Do Most Work-from-home Data Analytics Job Opportunities Come From?

  1. Start-Ups

Startups are ventured better known for their fast-expanding teams. In a newly established startup that is still in the initial stage of growth, the infrastructure for new hires might not be appropriate. Under such circumstances, a remote position may be offered to the aspirants rather than an on-site one.


  1. Large Corporate Houses

The new-generation Corporate Houses follow a more expertise-centered approach rather than holding on to the conventional notion of establishing an office setup for their employees. Instead of focusing on the need to have physical collaboration with their workforce, they give more stress to the constructive usage of their skills and expertise. Hence, they prefer offering work-from-home Data Analytics jobs.


  1. Freelancing

Yet another opportunity for the aspirants of work-from-home Data Analytics jobs is the field of freelancing. Nowadays, a good number of Data Analytics Consultants are hired on a contract basis for work-from-home Data Analytics jobs. This is because there is the least emphasis on collaborating with the internal team. Hence, a remote job works wonders for these Freelance Data Consultants.


Frequently Asked Questions


Q.1 Are work-from-home Data Analytics jobs a good option?

The World Economic Forum in its report entitled “The Jobs of Tomorrow” in the year 2020 states that Artificial Intelligence and Data exhibit a 41% growth rate. This is the highest growth rate among all the emerging high-growth professions listed in this report.

According to a report published by FlexJobs, the profession of Data Analytics has witnessed very promising remote job growth. So, an already booming data job market with a huge spike in work-from-home jobs turns out to be extremely promising for aspiring Data Analytics professionals.


Q.2 How much can a Data Analytics professional earn in a work-from-home Data Analytics job?

The salary drawn by the Data Analytics experts largely depends on the factors like their recruiting company, their overall work experience, qualifications, and finally their location. In spite of this, some data is available on the current salary package drawn by the professionals in this field.

The Average Annual Salary of the Data Analytics professionals as recorded by Ambition Box is INR 4.2 lakhs per annum. In India, the monthly salary of Data Analytics experts varies from 1.6 Lakhs to 12 Lakhs.


Q.3 How to find work-from-home Data Analytics jobs?

To boost their chances of finding a work-from-home Data Analytics job, the aspirants of this one of the most coveted professions can adopt a few meaningful practices mentioned here:

  1. Prepare a good portfolio
  2. Get the skills on how to pitch yourself as a remote employee.
  3. Search at the right places or portals for work-from-home Data Analytics jobs.

The names of some of the legit websites for remote Data Analytics jobs are given below –

  • LinkedIn
  • Glassdoor
  • Indeed
  • io
  • Data Jobs
  • Analytics Jobs
  • FlexJobs
  • Big Data Jobs


Q.4 How Data Analytics is different from Data Sciences?

Data Analytics and Data Sciences both are streams that deal with Big Data but each with a distinct approach. Data Science encompasses Data Analytics and is a multi-disciplinary field that includes Mathematics, Information Science, Machine Learning, Artificial Intelligence, Computer Science, and Statistics.

Data Science deals with extracting meaningful information and insights by the application of various processes and algorithms from structured and unstructured data. On the other hand, Data Analytics draws conclusions from raw data. These conclusions help the companies to finalize their decisions for the betterment of their overall performance.



As we conclude our article on work-from-home Data Analytics jobs, it is clear that the field of Data Analytics has enough potential applications in diverse fields. Other than pointing out just bottlenecks in production, the domain of Data Analytics encompasses many other core areas.

The biggest asset of the Data Analytics process is that under this domain all types of information can be subjected to the procedure of Analytics techniques to draw inferences regarding insights. A wide variety of trends and metrics are revealed by Data Analytics which would have otherwise gone astray in the massive volume of information.

Last but not the least, it is worth mentioning the countless reasons behind the fact that why Data Analytics has an edge over other professions, making it a much sought-after work-from-home job. The precedence of work-from-home Data Analytics jobs in today’s digital era is the reverberation of its multi-spectrum applicability and acceptance amongst Software professionals and Corporate Houses.

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