Business Analyst Vs Data Engineers - Salary, Job Prospects

Any organisation that uses data must have business analysts and data engineers. Data engineers design, develop, and maintain the systems that collect and store data, whereas business analysts use data to comprehend and enhance business processes. 

Although all jobs are necessary for a business to run efficiently, there are some significant distinctions between them. We compare business analysts and data engineers in this article and offer advice on choosing the right career path for you.

Who is a Business Analyst?

Business analysts assist firms in their operational requirements and business processes. They proactively collaborate with different stakeholders to understand workflow and develop system software.

They closely work with developers to validate the system to ensure it fulfils its objectives. The business analyst also helps clients understand the system and trains them on making the best out of the developed system.

What do Companies expect from Business Analysts?

You must meet basic educational requirements to become a business analyst and skyrocket the organisation's revenue. A bachelor's programme in business administration, economics, or a closely related discipline is required. Some special or leadership roles may demand a postgraduate degree with relevant experience.

Business analysts can pursue accreditation through organisations like the Project Management Institute (PMI) or the Institute of Management Consultants (IMC). These credentials can make business analysts stand out to prospective employers and demonstrate the abilities required for this position.

Skills required for Business Analyst

 

• Perceiving the Organisation's Goals

 

A business analyst should understand the organisation's goals, mission and vision. They must be able to predict future outcomes and streamline the growth plan strategies.

 

• Having strong communication and PR skills

 

Effective clear and timely communication is the key to carrying forward your organisation without losing its values. A BA must clearly explain a product's usage to its client and how it can help them. Diplomatic negotiating tactics are needed to maintain a sustainable relationship with partners and retain them.

Business analysts exchange ideas, facts, and opinions with partners verbally and in writing.

 

• Making crucial decisions

 

A BA must be proficient in several data science tools to visualise data and make actionable decisions. Before making any major decision, they must do deeper market research to discover all the available alternatives. 

After understanding the competitor's products, the business analyst must assess the solutions and predict all the possible outcomes with the available data. 

Business Analyst vs Data Analyst

As mentioned before, business analysts assist their firms in locating issues, chances, and solutions. Assessing the current operations and IT infrastructure of an organisation

• A Business Analyst analyses procedures by interacting with co-workers and makes suggestions to speed up the process.
• Presenting findings and recommendations to the administration and other key stakeholders 
• Making financial and visual representations to assist with company decisions
• Coaching and training employees on new systems

Contrarily, to guide corporate decisions, data analysts collect, purify, analyse, visualise, and present existing data. 

Successful data analysts present information that aids decision-makers in selecting the most appropriate action using the collected data.

An example of a data analyst's typical tasks is:

• Defining an issue or business need while collaborating with investors and company executives 
• Locating and obtaining data from credible sources
• Supervising data clean-up and preparation for analysis 
• Searching for patterns and trends to make data more understandable
• Presenting data in a way that makes a compelling narrative out of it

 

Although business and data analysts can come from different educational backgrounds, most employers prefer applicants with at least a bachelor's programme. 

Business analysts typically hold degrees in business-related professions, whereas data analysts frequently hold degrees in STEM disciplines like math, computer science, or statistics.

Gaining a postgraduate certification from Skill-Lync with a data analytics specialisation may help you find ways to succeed in any industry.

Business Analyst vs Data Analyst Salary in India

In India, a business analyst makes an average yearly pay of ₹9,27,756.

Whereas a data analyst makes an average of ₹4,99,852 annually.

The firm, employment function, and geographic location all affect the remuneration. 

Business Analyst vs Data Engineer

Data engineers design, build, implement, and maintain the architecture required to enable the data analytics process. They collaborate with data architects and analysts to create data models and ETL procedures that satisfy business requirements. 

Additionally, data engineers create the code necessary for data extraction from sources, data transformation, and data warehouse loading. They employ Big Data technologies to swiftly and effectively process massive amounts of data. 

Data engineers build and maintain pipelines that transfer data between various systems. Business analysts obtain information from executives, clients, and other stakeholders to ascertain a company's needs. They then use this knowledge to create strategies for growth.

Compared to business analysts, data engineers use technology more frequently. They create infrastructure and systems to facilitate data gathering, storage, and retrieval. To maintain effectiveness, they also upgrade these systems frequently.

How to Become a Data Engineer?

Not all positions in data engineering are entry-level. Instead, many data engineers begin their careers as business intelligence analysts or software engineers. 

As your career progresses, you might take on managerial duties or work as a solutions architect, data design professional, or machine learning engineer.

After graduation, consider enrolling in an online course to advance your profession and open doors to a lucrative career.

• Consider enrolling in classes to develop and hone your coding skills since proficiency in programming languages is necessary for this position. Programming languages like SQL, NoSQL, Python, Java, R, and Scala have often used data visualisation tools.
• Since businesses gather so much data to understand customer behaviour, automation is crucial to working with big data. You must be able to build scripts if you want to automate routine tasks.

A free option for a standalone portfolio website is to upload your work to the Projects area of your LinkedIn profile or a website like GitHub.

Conclusion 

Business analyst and data engineer are two job pathways in data science. Both use already-existing data science and SQL-based analytics skills to maximise the profitability of an organisation. You can consider Skill-Lync's more PG certification course for data science if you're considering data science as an integral element of your career path. You can also book a mock session with us today to learn more.