Oracle Business Analyst Salary
Oracle Business Analyst Salary – Business analysts are the driving force behind the new age enterprise of data-driven decision-making and problem-solving. Essentially, the role of the Business Analyst is to bridge the gap between the IT and business verticals of the organization. They use data analytics to identify business requirements, evaluate processes, and deliver recommendations and reports to relevant stakeholders.
Ideally, Business Analysts engage with business leaders to understand how data-driven decisions can improve efficiency. These changes can be applied to processes, products and services, software and hardware to add value. Finally, they implement ideas that are both technologically and financially feasible.
Oracle Business Analyst Salary
Business analysts report primarily to project managers. Key responsibilities include requirements analysis, process implementation and documentation, and user acceptance testing. A natural analytical bent and ability to explain technical concepts to non-technical users is key to success for Business Analysts.
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In addition to these, read more about some of the tools used by business analysts. and Big Data Analytics Skills to Increase Your Salary
Like any other job role, the salary of a Business Analyst will depend on a number of factors such as company size, reputation, location, work experience and educational qualifications. Companies like TCS, Amazon, Accenture or Deloitte pay higher. The more work experience you have, the higher your market value. Note that there is a chance of salary variation due to these variables.
The average salary of a business analyst in India is around ₹612,656 per annum. The average salary for a business analyst in the United States is approximately $70,489 per year.
If you want to learn more about salary trends as a Business Analyst over the next 5-10 years and compare your salary to your peers, check out the Salary Builder and get powerful insights.
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Depending on your experience, the average salary of a Business Analyst can range from 3, 50, 000 to 5, 00, 000. The low end is an entry-level salary with less than one year of work experience and higher. the salary of those with the last 1-4 years of work experience.
As your experience increases over time, so does your salary. A Business Analyst with 5-9 years of industry experience can earn up to Rs. 8 lakhs per annum. Whereas a Senior Business Analyst with up to 15 years of experience earns close to Rs. 12 lakhs per annum.
Let us consider TCS, Accenture, Computer Sciences Corporation and Capgemini as the top companies offering highest salary packages for Business Analysts.
HCL, Wipro and CSC are at the lower end of the salary scale and offer a similar package.
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Companies like Amazon are also a really great place to work, the average salary ranges from INR 3,28,484-17,83,171 depending on your experience level and seniority.
The above companies are some of the best companies offering higher salary packages for Business Analysts in USA.
The above companies are some of the companies that are at the lower end of the salary scale and offer a similar package.
When it comes to compensation, your location plays an important role. A Business Analyst in Bangalore or Pune will earn around 12.9% and 17.7% more than the national average. Hyderabad (down 4.2%), Noida (down 8.2%), Chennai (down 5.2%).
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A typical day in the life of a Business Analyst may involve different tasks based on many factors, such as the stage of the project they are working on. Also, some days are more focused on research, some days involve a lot of meetings and interactions, and some days are just focused on processes, products, etc. implements and implements changes.
The primary educational qualification to become a business analyst is graduation and post-graduation is an added advantage. Professionals with strong analytical, problem solving, communication, interpersonal and team management skills should definitely consider a career as a Business Analyst. Technical skills vary by employer and industry, the main computer skills a Business Analyst should have are C#, .Net, Oracle, PL/SQL and MS Office. Below are the three steps to becoming a Business Analyst:
Great Learning is an ed-tech company that offers impactful and industry-relevant programs in high-growth fields. With a strong presence around the world, we have enabled more than 10,000 students from over 50 countries to achieve positive career outcomes. Know MoreData science is an interdisciplinary field. But all of these data science roles require strong analytical skills, technical knowledge, and the ability to gather actionable insights from reams of data.
As more and more industries use innovative data applications – from the healthcare sector using data science to improve patient care and drug development to Spotify using music data for personalized recommendations – data professionals across the board are in high demand. And there are a variety of job opportunities that cater to many passions and interests.
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Data science occupations are highly paid because they are in short supply (the occupation has nearly 20,000 open positions in the U.S., according to US News) and their skills are in high demand.
Data scientists see this demand as, over the past few years, an increasing number of organizations have begun to see the importance of making data-driven decisions. Whether it’s e-commerce companies embracing AI or travel companies integrating machine learning into their platforms, data scientists are at the forefront of the latest technological revolution.
According to Glassdoor, data science professionals in the US typically earn around $117,000 per year. However, this can vary depending on several factors, including years of experience, education level, industry, location, and area of specialization. For example, data scientists in big cities like New York or San Francisco can earn up to $180,000. Machine learning engineers often earn more than data analysts, and those working in the consumer technology sector typically earn more than those employed. work for government agencies, non-profit organizations, or health care organizations.
The responsibilities of data scientists can vary from company to company. Generally, data scientists source and process data available to a company.
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According to Glassdoor, the median annual salary for a data scientist in the United States is approximately $117,000.
Data engineers build pipelines that transfer data from various sources. They focus on production readiness of raw data and elements such as formats, durability, scalability, data storage and security.
According to Glassdoor, the median annual salary for a data engineer in the United States is about $113,000.
Data architects visualize and design an organization’s data management framework. They do this by assessing the organization’s data sources and then developing a plan to integrate, centralize, and store the collected data.
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– Application server software such as Oracle, user interface and query software such as IBM DB2, and database management software such as Microsoft SQL Server
According to Glassdoor, the median annual salary for a data architect in the United States is approximately $152,000.
A data modeler translates real-world business needs into data models. They work closely with data architects to create conceptual, logical, and physical data models. They support application teams in designing databases and collaborate with data management teams for compliance.
According to Glassdoor, the median annual salary for a data modeler in the US is around $106,000.
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Big data engineering focuses on the infrastructure that enables people to collect and organize large amounts of data. This makes billions of clicks, clicks, likes, swipes, shares and purchases usable for data analysis. They do this by building data pipelines, designing and managing data infrastructure, managing data storage, and focusing on the ETL (Extract, Transform, Load) process.
According to Glassdoor, the median annual salary for a senior data engineer in the United States is about $125,000.
A machine learning (ML) engineer is a programmer who develops self-running software that uses data and automates predictive models. ML engineers bridge the gap between data and software, creating programs that allow machines to operate without direct human assistance.
According to Glassdoor, the median annual salary for a machine learning engineer in the US is around $123,000.
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Machine learning is a subset of data science. Although machine learning engineers and artificial intelligence engineers perform similar tasks, artificial intelligence (AI) engineering focuses more on developing systems and machines that mimic human cognitive function, making them more adept at solving problems.
According to Glassdoor, the average annual salary for an AI engineer in the US is around $118,000.
An enterprise architect is an IT professional who oversees an organization’s networks and services. They update systems within the company, replace hardware or software, and determine which products and services best support teams within the organization.
According to Glassdoor, the average annual salary for an enterprise architect in the United States is about $164,000.
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Business intelligence (BI) analysts use their data to make decisions. They collaborate with business teams to understand their needs, review data, and write financial and market intelligence reports.
Natural language processing engineers build systems and devices that can understand
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