Over the past decade, data and analytics have become the centre of truth for businesses as they harness data-driven insights to align their strategy, uncover new opportunities, and compete in the global marketplace. From reporting accurate sales forecasts to building an appropriate product roadmap year after year, data helps companies at every front to evolve and grow.
Scope Of Employment In The Industry
Analytics Insight forecasted that by 2025, there will be 137,630 data science job openings in India, rising from 62,793 jobs in 2020. According to the US Bureau of Labor Statistics, around 11.5 million jobs will be created by 2026. PwC also predicted 2.7 million job postings for data science and analytics roles across the globe. A similar trend has also been observed in India.
Additionally, in its predictions for the future workforce through 2022, the World Economic Forum identified that by 2022, 85% of companies will have adopted big data and analytics technologies. Also, 96% of companies were definitely planning or likely to hire new permanent staff with relevant skills to fill future big data analytics related roles.
Job roles such as Data Analysts, Data Scientists, Engineers, Architects, etc. have emerged in recent years, offering promising career opportunities. But how do you differentiate between them and understand which one do you want to pursue?
Worry not, we’ll break it down for you in this article. Read on to know more.
Looking To Learn Data Analytics Skills? Register Now For AltUni’s Data Analytics With Power BI Masterklass!
What Are The Different Job Roles In The Industry?
1.Data Analyst
Data analysts gather actionable information on various topics across domains such as insurance, finance, retail, technology, and so on. They are mainly involved in,
- Designing and implementing large-scale surveys
- Compiling and interpreting the data
- Relaying the findings in the form of reports.
Data analysts develop unique methods of analyzing huge datasets and also improve their systems to enable better insights in the future. So, reproducibility and scalability of data are among the top areas of their concern.
Pre-requisites: The minimum requirements for being a Data Analyst are a technical graduate degree and knowledge of Microsoft Excel, Power BI, SharePoint, and SQL databases. Data analysts should be able to translate complicated information for use by a diverse set of stakeholders. So, communication and presentation skills are of extreme importance.
2. Data Scientist
Data scientists are majorly involved in - data modelling, data mining, and production. As one of the highest paying data jobs, they are responsible for conducting data studies and experiments, developing prototypes, algorithms, and performing custom analysis. The role is fairly dynamic, requiring collaborations with cross-functional IT teams to create statistical models and interpret complex information for corporations.
Pre-requisites: If you are interested in a data scientist job, you should demonstrate adequate knowledge of clustering, regression, decision trees, and other such techniques. Usually, a master’s degree is preferred for data scientist positions in addition to specialized field experience.
3. Data Engineer
Data engineers work with large data sets to provide insights for decision making for an organization. They retrieve, aggregate, interpret, analyze, and report on business data, gathered and generated from multiple sources. They also look after building and maintaining the organization’s software and hardware architectures. Additionally, they assist different users who need specific systems and processes to leverage the power of data.
Pre-requisites: To be hired for the position of a data engineer, you would generally require two-three years of experience in the domain along with the following technical skills:
- Knowledge of Linux systems
- SQL database design
- Coding languages (including latest ones like Java, Python, Hive, Storm, etc.)
4. Data Architect
Data architects are involved in designing data frameworks. They make blueprints for creating, testing, and maintaining complex database systems. Specifically, their job responsibilities include:
- Developing strategies for different areas of the enterprise data model
- Communicating the plans, progress, and issues to company executives
Pre-requisites: Companies prefer candidates who are experts in data-oriented computer languages with advanced proficiency in SQL and XML. Aspirants must possess a minimum of a bachelor’s level degree in computer science or related fields or advanced degrees with adequate hands-on training.
With AltUni’s Data Analytics with Power BI Masterklass, you get 45+ hours of live Data Analytics lectures from Havish M., who has been featured in ‘Analytics 40 Under 40’ and is the Founder of Havish M. Consulting. You also get to apply these learnings in 2 hands-on Capstone Projects and add them to your CV. The Masterklass helps you develop 360-degree skills through sessions with a mock interview, CV editing, etc. And at the end of it all, you get certified in Data Analytics!
Become A Certified Data Analyst, Get A Headstart In Data Analytics Industry With AltUni’s Data Analytics With Power BI Masterklass!
5. Miscellaneous Career Options - Apart from these mainstream career options, there are certain other paths that you can explore,
a) Data Warehouse Manager - Data Warehouse Professionals are in charge of the storage and analysis functions in data facilities. They are focused on identifying and mitigating potential risks associated with data storage and transfer. Some of the tasks performed by data warehouse managers include -
- Evaluating data using performance and usage metrics
- Analyzing data load
- Monitoring job usage
Pre-requisites: Data warehouse practitioners need about five years of hands-on experience to advance to the leadership level.
b) Database Developer - A typical day of a database developer revolves around streamlining database processes. They first analyze database performance to understand the scope of modernization. Then, they develop new databases, if required. They also try to eliminate inefficient coding and troubleshoot any issues that may arise.
Pre-requisites: Database developers are a crucial part of the development teams. A degree in applied mathematics or computer science can give you a good base for this profile. Work experience in database development, analytics, and unit testing can improve your chances of being hired.
c) Database Administrator - High traffic and constant access can have a negative impact on the database performance. Therefore, data administrators constantly monitor and optimize databases while coordinating with the IT team to ensure data security.
Pre-requisites: To be employed as a DBA, you should have experience working with database administration teams. In some entry-level positions, a two-year associate degree in computer science or IT related fields may suffice.
d) Database Manager - Database managers work with developers to solve database issues and take corrective actions regarding data feeds based on specific metrics. They guide the design and implementation phases of storage hardware and its maintenance. Reviewing business requests for data and usage is also one of their key result areas.
Pre-requisites: With a bachelor degree in IT and five years of leadership experience, you can qualify for a database manager position. You can also look at pursuing a postgraduate degree or project management certifications to add to your skillset.
Technical requirements - database managers are expected to be competent in software like MySQL and Oracle.
e) Business Intelligence Analyst - Business Analysts take care of management’s specific requests and furnish data and insights, assisting the executives in their decision-making duties. Advanced analytics is a fast-growing segment of business intelligence now.
Pre-requisites: Employers in the BI space prefer candidates who have a background in analytical and reporting tools. BI analysts also require the following practical skills:
- Database queries
- Stored procedure writing
- OLAP
- Data cube technology
f) Data Modeller - As a data modeller, you would uncover micro & macro trends for business reports. Having experience in a specialized business area would make it easier for you to discover useful data trends. Besides churning out information from large datasets, you may focus on reducing data redundancy. Sometimes, data modellers & architects collaborate to design objective-oriented databases using conceptual & logical data models.
Pre-requisites: To get employed as a data modeller, the knowledge of the following is essential:
- Information science
- Statistical analysis
- Programming
Bottomline
Stressing the importance of Big Data, Dr. Geoffrey Moore, a renowned organizational theorist and management consultant once stated “Without Big Data, you are blind and deaf in the middle of the freeway”.
Big Data is transforming businesses. However, data is of no use unless there’s someone to decipher it and unravel the hidden patterns within. Businesses need insights from data, and this is exactly why they’re always on the lookout for skilled professionals in the field!
Haven’t found your perfect career fit yet? Anyways, here’s your chance for an entry into the dream industry with our Masterklass on Data Analytics, where you get to,
- Learn Data Visualization techniques and build data-driven business strategies
- Build charts, interactive dashboards, and story interfaces for visualization of data and trends
- Use DAX language to build and handle data models through the use of formulas and expressions
- Get hands-on experience of Data Analytics & Visualization in 2 Capstone Projects
- Become a certified Data Analyst!
- Become an AltUni alumnus to get access to exclusive job opportunities & huge discounts on all current and future programs
- Get access to AltUni Career Services like 1-on-1 mock interviews & profile building sessions by industry experts!
Comments