- Data Analysis: Collect, process, and analyze large datasets to identify trends and patterns that align with business objectives.
- Reporting: Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
- Data Management: Implement robust data management practices to ensure data quality and integrity.
- Collaboration: Work closely with various teams to understand data requirements and provide actionable insights.
- Statistical Analysis: Apply statistical techniques to analyze data and predict future trends.
- Automation: Streamline data analysis tasks through automation to enhance efficiency and accuracy.
- Documentation: Document methodologies and findings for transparency and reproducibility.
- Continuous Improvement: Stay updated on industry trends and new technologies related to data analysis.
- Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
- Experience: 3 to 5 years of experience in data analysis.
- Proficient in data analysis tools like SQL, Python, or R.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong understanding of statistical analysis and data modeling techniques.
- Knowledge of database management systems and data warehousing solutions.
- Familiarity with ETL processes and tools.
- Understanding of machine learning concepts (bonus).
- Strong analytical and problemsolving skills.
- Excellent communication and interpersonal abilities.
- Ability to work independently and collaboratively.
- Detail-oriented with excellent organizational capabilities.
- Effective multitasking and project management skills.
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Data Analyst - Hyderabad, India - SILCOSYS Solutions Pvt. Ltd
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Description
Job Description:
We are currently looking for an experienced Data Analyst to join our team. The ideal candidate should have a solid background in data analysis and the capability to turn data into valuable insights for business decisions. This position involves working with large datasets, statistical analysis, and data visualization tools.
Key Responsibilities:
Required Qualifications:
Technical Skills:
Soft Skills: