Data Analyst

Company Description

Biblioso, with more than a decade of experience, initially focused on supporting companies in the Pacific Northwest with IT consulting and documentation projects. Today, our dedicated global team delivers managed services, engineering, IT consulting, and more solutions worldwide. We prioritize customer service to ensure the highest level of client care. Discover how we can support your business needs with our comprehensive solutions.

Responsibilities:

• Data Extraction & Transformation:

  Extract, clean, and transform data from various sources using SQL queries to ensure data accuracy and consistency.

• Data Analysis:

  Perform in-depth data analysis to identify trends, patterns, and anomalies, and provide meaningful interpretations.

• Dashboard Development:

  Design, develop, and maintain interactive and insightful dashboards and reports using

  Power BI

  to visualize key performance indicators (KPIs) and business metrics.

• Reporting & Presentation:

  Prepare and deliver clear, concise, and compelling reports and presentations to stakeholders, effectively communicating complex data findings.

• Stakeholder Collaboration:

  Work closely with business users to understand their data requirements and translate them into technical specifications.

• Data Quality & Governance:

  Contribute to maintaining data quality, integrity, and governance standards.

• Problem Solving:

  Proactively identify data-related issues and propose effective solutions.

Qualifications

. Expertise in Power BI:

Proficiency in SQL:

• Understanding of .NET Framework: Familiarity with the .NET framework, C#, or ASP.NET will be considered a significant plus, particularly for roles involving data integration with existing applications or custom tool development.

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills to present findings and recommendations
• Relevant experience in a data analysis role, preferably in a hybrid working environment
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field