BI Developer in ANVI

The candidate needs to be in Baku, Azerbaijan; or any other city in Azerbaijan and be ready to move to Baku.

Based on the client's emphasis on location, we are confident that focusing on Baku-based talent will yield the most optimal results for this position.

For the client, the office location isn't just about space; it's about creating a productive and engaging environment for their team.

Requirements and Skills:

• 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.