Data Analysis and Visualization: Proficiency in data analysis and the ability to create insightful visualizations. Understanding key metrics and KPIs across various business domains.
BI Tools Expertise: Extensive experience with BI tools like Tableau, Power BI, QlikView, or Looker for dashboard creation, data visualization, and reporting.
Database and Query Languages: Strong knowledge of database management systems, both SQL (like MySQL, PostgreSQL) and NoSQL (like MongoDB), and proficiency in query languages like SQL for data manipulation and retrieval.
Data Warehousing: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like SSIS, Talend, or Informatica.
Data Modeling: Skills in data modeling and familiarity with data normalization and star/snowflake schema design.
Programming Skills: Knowledge of programming languages like Python or R, which are often used for data analysis and scripting in BI contexts.
Advanced Excel Skills: Proficiency in advanced Excel functions and techniques, which remains a staple in many BI tasks.
Understanding Business Processes: Strong understanding of business processes and ability to translate business requirements into technical specifications.
Critical Thinking and Problem-Solving: Ability to analyze problems, think critically, and propose effective solutions through dashboards and reports.
Communication Skills: Excellent communication skills for articulating data insights and interacting with stakeholders to understand their requirements.
Attention to Detail: High attention to detail to ensure accuracy and relevance of the data presented.