Swiggy Recruitment Notification for Business Analyst

About Company - (https://www.swiggy.com/)
For its different positions, Swiggy is hiring candidates for the position of business analyst. The requirement for eligibility and application is graduation. Online or in-person interviews, shortlisting/assessment tests, and recruitment will all be used in the hiring process. Before the deadline, you must submit an online application for this position. Below are the specific steps, prerequisites, and eligibility standards.
Job Details:
- Company: Swiggy
- Role: Business Analyst
- Location: Work From Home
- Qualification: Any Bachelor's Degree
- Work Experience: 0 - 1 Years
- Salary: 5,00,000 Approx
- Company: Swiggy
- Role: Business Analyst
- Location: Work From Home
- Qualification: Any Bachelor's Degree
- Work Experience: 0 - 1 Years
- Salary: 5,00,000 Approx
Roles And Responsibilities:- Utilize massive, complex data sets to address business problems and, where necessary, use cutting-edge analytical techniques.
- Regularly track and forecast important business KPIs.
- Regular planning and evaluations of important performance measures will help you to profit from the change.
- Decide which performance indicators are most appropriate for a given business aspect.
- Experiments to test business assumptions should be designed, carried out, and measured.
- Create engrossing narratives leveraging business knowledge while concentrating on the organization's strategic objectives.
- Work with the business, product, and data engineering teams to continuously enhance data accuracy by soliciting feedback and focusing on the effectiveness and completeness of the instrumentation.
- Utilize massive, complex data sets to address business problems and, where necessary, use cutting-edge analytical techniques.
- Regularly track and forecast important business KPIs.
- Regular planning and evaluations of important performance measures will help you to profit from the change.
- Decide which performance indicators are most appropriate for a given business aspect.
- Experiments to test business assumptions should be designed, carried out, and measured.
- Create engrossing narratives leveraging business knowledge while concentrating on the organization's strategic objectives.
- Work with the business, product, and data engineering teams to continuously enhance data accuracy by soliciting feedback and focusing on the effectiveness and completeness of the instrumentation.
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Skills Required:
- Bachelor's degree in engineering, business administration, economics, finance, mathematics, statistics, or a quantitatively related discipline 1.5 to 2.5 years of data science, analytics, or a related professional experience practical knowledge of tools for manipulating data, such as SQL, R, Python, and Excel.
- exposure to BI platforms such as Tableau, Power BI, etc.
- understanding of fundamental statistical measuring frameworks, including tests for significance and measures of central tendency, dispersion, distribution, etc.
- basic understanding of regression, classification, and other machine learning techniques.
- Using both creative and organized thinking, address issues in the real world
- Fail quickly and learn more quickly
- able to function well in a dynamic, quick-paced workplace
- Effective communication skills, both in Orally and Writing.
- Detail-oriented and capable of working independently in an unstructured setting
- Excellent interpersonal and teamwork abilities, including the capacity to operate cross-functionally
- Excellent organizational abilities, including the ability to set priorities, plan ahead, manage time, and fulfill deadlines
- Bachelor's degree in engineering, business administration, economics, finance, mathematics, statistics, or a quantitatively related discipline 1.5 to 2.5 years of data science, analytics, or a related professional experience practical knowledge of tools for manipulating data, such as SQL, R, Python, and Excel.
- exposure to BI platforms such as Tableau, Power BI, etc.
- understanding of fundamental statistical measuring frameworks, including tests for significance and measures of central tendency, dispersion, distribution, etc.
- basic understanding of regression, classification, and other machine learning techniques.
- Using both creative and organized thinking, address issues in the real world
- Fail quickly and learn more quickly
- able to function well in a dynamic, quick-paced workplace
- Effective communication skills, both in Orally and Writing.
- Detail-oriented and capable of working independently in an unstructured setting
- Excellent interpersonal and teamwork abilities, including the capacity to operate cross-functionally
- Excellent organizational abilities, including the ability to set priorities, plan ahead, manage time, and fulfill deadlines
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How to Apply - All readable and interested applicants should apply online from the official website or from the link given below.
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