103 ResourceTree Global Services Jobs
Business Analyst - Power BI (3-5 yrs)
ResourceTree Global Services
posted 10hr ago
Key skills for the job
Job Overview:
As a Data Analyst, you will be responsible for deriving actionable insights from complex datasets, creating detailed reports, and visualizing data using Power BI and SQL. Your analytical skills and attention to detail will be essential to supporting various departments and informing business strategies.
Key Responsibilities:
- Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions using Power BI.
- Perform data analysis using SQL to extract, transform, and load data from multiple sources.
- Create and maintain documentation including requirements, design, and user manuals.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
- Provide data-driven insights and recommendations to support decision-making processes.
- Ensure data accuracy and integrity by performing routine data validation and quality checks.
- Identify trends, patterns, and correlations in complex data sets.
Required Skills and Qualifications:
- 3 to 5 years of experience in data analysis, business intelligence, or a related field.
- Strong proficiency in Power BI and SQL.
- Solid understanding of data warehousing concepts and data modeling.
- Experience creating interactive dashboards and reports in Power BI.
- Ability to write complex SQL queries for data extraction and analysis.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills to effectively collaborate with various stakeholders.
- Attention to detail and commitment to data quality and accuracy.
Preferred Skills:
- Experience with data visualization tools such as Tableau.
- Knowledge of statistical analysis and data mining techniques.
- Familiarity with ETL processes and tools.
- Understanding of Python or R for data analysis.
Educational Qualifications:
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Functional Areas: Other
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