Data Analyst

6 days ago

india Gama Advisory Services LLP Full time

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

(ref:hirist.tech)

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