Data Analyst
Data Analyst
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1-3years
240000 - 300000
1 Vacancy
Job Description
- Research and collect data on market places like consumers competitors and consolidate information into reports and presentations.
- Understanding business objectives and design surveys according to customers preferences.
- Compile and analyse statistical data using modern and traditional methods to collect it
- Taking a sample report of data before initiating any huge project.
- Use online market research and catalogue findings to databases
- Provide competitive analysis on various companies market offerings identify market trends pricing/business models sales and methods of operation
- Ensure to deliver the data before the end date and recheck that data on the releases are accurate and the angle of the release is correct.
- Stay updated and fully informed on market trends other parties researches and implement best practices.
Requirements
- A Bachelor s degree.
- Proven Market Research Analysis experience.
- Knowledge in Funding Events
- Great accuracy in Data appending.
- Fast worker and able to cope up with pressured work.
- Analytical mind and skills.
- Keen observer and having strong attention to detail the data.
- Strong knowledge in statistics and MS Office and able to notice patterns.
- Strong communication and presentation skills.
- Organization skills.
- Awareness in commercials
- Works in a methodical way to approach
- Quick learner
- Excellent working experience in skills like Data scrapping Data counts and Sampling
- Typewriting skills
- Team worker
- Flexibility and Adaptability
Benefits
- Standard Job Role and Standard Job timing
- Provident Fund and Employee State Insurance
- Monday to Friday Working
- Night Shift Allowances
- Great work environment
- Other benefits
Proven experience in designing and implementing large-scale data solutions. SQL: Advanced skills in query optimization and database management. PySpark: Strong experience in data transformation and processing. Databricks: Hands-on experience in big data frameworks and analytics. Azure Data Factory (ADF): Expertise in orchestrating ETL/ELT pipelines. Cloud Platforms: Strong experience with Azure (preferred), AWS, or GCP. Data Warehousing: Deep understanding of data modeling, data lakes, and data warehouse architectures. Solution Architecture: Ability to design end-to-end data solutions for enterprises. Strong leadership and team management skills. Excellent problem-solving and analytical thinking. Effective communication and stakeholder management. Ability to work in a fast-paced and dynamic environment.
Education
Bachelor's degree in Computer Science,
Employment Type
Full Time
