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Data Analyst
5 days ago
Overview :
We are seeking a skilled Data Analyst with 2-3 years of experience in utilizing Power BI and/or Tableau to join our team.
As a Data Analyst, you will play a crucial role in transforming data into insights that drive business decisions.
You will work closely with stakeholders to understand their analytical needs, develop visualizations, and provide actionable insights.
Responsibilities :
- Gather and analyze data from various sources to derive meaningful insights.
- Design and develop interactive dashboards and reports using Power BI and/or Tableau.
- Collaborate with business users and stakeholders to understand requirements and translate them into visualizations.
- Perform data validation, cleansing, and transformation to ensure data accuracy and reliability.
- Create and maintain documentation related to data analysis processes and visualization solutions.
- Provide support and training to end-users on how to interpret and use dashboards effectively.
- Monitor data trends and identify opportunities for improvement or optimization.
- Stay updated with industry trends and best practices in data visualization and analytics tools.
Requirements :
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
- 2-3 years of proven experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Proficiency in data visualization tools such as Power BI, Tableau, or similar BI tools.
- Strong SQL skills for data extraction and manipulation.
- Ability to interpret data and analyze results to provide actionable insights.
- Experience in data cleansing, transformation, and validation techniques.
- Excellent communication and presentation skills with the ability to translate complex data into understandable insights.
- Detail-oriented with strong analytical and problem-solving abilities.
Preferred Qualifications :
- Experience with other BI tools or programming languages (e.g, Python, R) is a plus.
- Knowledge of data warehousing concepts and methodologies.
- Familiarity with cloud platforms (e.g, AWS, Azure) and their integration with BI tools.
- Understanding of statistical analysis and predictive modeling techniques
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