Kuku FM Hiring Drive 2024 For Data Analyst | Location Bengaluru

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Kuku FM Hiring Drive 2024: Kuku FM Hiring Drive 2024 for its Data Analyst. Kuku FM Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. if you are interested, please apply as soon as possible.

Company Name: Kuku FM

Role: Data Analyst

Location: Bengaluru

Experience: 1-3 years

Qualification: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.

Batch: Any

Job Type: Full Time

Salary: 15.5 LPA (Expected)

Kuku FM Hiring Drive 2024

Job Description:

  • We are seeking a detail-oriented and analytical Data Analyst to join our team in Bangalore.
  • The ideal candidate will have 1-3 years of experience in data analysis, strong analytical skills, and a passion for turning data into actionable insights.
  • As a Data Analyst at Kuku FM, you will work closely with cross-functional teams to analyse data, generate insights, and support data-driven decision-making processes.

Requirements:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • 1-3 years of experience in data analysis or a related role.
  • Proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills with the ability to present complex data findings clearly.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience with programming languages such as Python or R is a plus.

Responsibility:

  • Data Analysis: Analyse large datasets to identify trends, patterns, and insights that drive business growth.
  • Use statistical methods to interpret data and provide actionable recommendations.
  • Reporting and Visualization: Create and maintain dashboards and reports to communicate data insights to stakeholders.
  • Use data visualization tools to present complex data in a clear and concise manner.
  • Collaboration: Work closely with product, marketing, and content teams to understand data needs and provide analytical support.
  • Collaborate with the engineering team to ensure data accuracy and integrity.
  • Data Management: Assist in data cleaning, validation, and management to ensure high-quality data for analysis.
  • Develop and maintain data documentation and processes.
  • Continuous Improvement: Stay updated with industry trends and best practices in data analysis.
  • Identify opportunities for process improvements and contribute to the enhancement of data analytics capabilities.

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