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Experienced Business Analyst with expertise in data analysis, process improvement, and project management.
5+ years of experience in business analysis
Proficient in SQL and data visualization tools
Led successful projects resulting in cost savings and increased efficiency
Collaborated with cross-functional teams to identify and implement process improvements
Strong communication and presentation skills
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posted on 5 May 2017
I was interviewed in Aug 2016.
I am a business analyst with experience in data analysis and project management.
I have a degree in business administration
I have worked with various industries including healthcare and finance
I am skilled in data visualization and reporting
I have experience in leading cross-functional teams
I am proficient in SQL and Excel
My area of interest is data analysis and visualization.
I enjoy working with large datasets and finding insights through data analysis.
I have experience using tools such as Excel, Tableau, and Python for data analysis and visualization.
I am interested in exploring new data sources and learning new techniques for data analysis.
For example, I recently worked on a project analyzing customer behavior data for a retail compa...
Yes, I have experience in data analysis and visualization through Excel and Tableau.
I have worked on multiple projects where I had to analyze and visualize data using Excel and Tableau.
I have created dashboards and reports to present data insights to stakeholders.
I have also used statistical analysis to identify trends and patterns in data.
I am currently learning Python and SQL to further enhance my data analysis skill
I am interested in the stability and growth opportunities offered by an established company.
I value the stability and resources of an established company
I am interested in the opportunity to work with a diverse range of clients and industries
I believe my skills and experience are better suited to a larger organization
I am open to exploring start-up opportunities in the future
Yes, I am planning to pursue a Master's degree in Business Administration.
I have researched various MBA programs and have shortlisted a few that align with my career goals.
I plan to take the GMAT exam and apply to these programs in the next year.
I believe that a higher education degree will equip me with advanced skills and knowledge to excel in my role as a Business Analyst.
The size of racks of rice in a store can vary depending on the store's location, size, and target market.
The size of the store can determine the size of the racks
The target market can determine the quantity of rice sold and therefore the size of the racks
The location of the store can determine the size of the racks based on the available space
The type of rice sold can also determine the size of the racks
Observation of ...
Mean, median, and mode are measures of central tendency used in statistics.
Mean is the average of a set of numbers. It is calculated by adding all the numbers and dividing by the total count.
Median is the middle value in a set of numbers. It is calculated by arranging the numbers in order and finding the middle value.
Mode is the most frequently occurring value in a set of numbers.
These measures are used to describe the...
Analytics offers a unique blend of technology and business acumen, providing insights that drive strategic decisions.
Analytics allows me to work with data and technology while also understanding the business implications of my findings.
I enjoy the challenge of finding patterns and insights in data that can help businesses make informed decisions.
Analytics is a growing field with a high demand for skilled professionals,...
In 5 years, I see myself as a senior business analyst leading a team of analysts and contributing to the growth of the company.
Leading a team of analysts
Contributing to the growth of the company
Developing new skills and knowledge
Building strong relationships with stakeholders
Taking on more responsibilities
I was interviewed in Oct 2016.
I was interviewed before Feb 2023.
posted on 3 Jun 2021
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Append and Merge are two methods used to combine data from multiple sources into a single dataset.
Append adds new rows to an existing dataset.
Merge combines two or more datasets based on a common column or key.
Append is useful when adding new data to an existing dataset, while Merge is useful for combining datasets with related information.
Example: Appending new sales data to an existing sales dataset.
Example: Merging ...
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