Data Analyst - Freelance

at  Blumie

Blumie is a leading data consultancy firm committed to delivering fast and effective data solutions across various industries. We empower businesses through data science, analytics, and AI, optimizing costs, and maximizing revenue. We value innovation and are in search of passionate individuals eager to transform data into actionable strategic decisions.
We are seeking a skilled Data Analyst for a short-term freelance project with over 3 years of experience specializing in Power BI, including extensive use of DAX, creating metrics, and developing fields. The ideal candidate will have a strong background in data analysis and experience with cloud technologies, particularly Google Cloud (BigQuery). Fluency in English and the ability to collaborate in a fast-paced environment are essential. This freelance role has the potential to transition into a full-time position based on project success and company needs.

REQUIREMENTS:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 3 years in data analysis, with a strong focus on Power BI.
• Experience with Google Cloud (BigQuery) is highly preferred.
• Expertise in Power BI and DAX.
• Proficiency in data manipulation and analysis within cloud environments, preferably Google Cloud.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and fluency in English.

• Data Analysis and Reporting: Develop and maintain robust reporting systems and dashboards in Power BI. Design and implement complex DAX queries and data models to derive actionable insights.
• Project Collaboration: Work closely with cross-functional teams to integrate analytics and BI solutions into broader client projects.
• Cloud Data Management: Utilize Google Cloud technologies, especially BigQuery, for efficient data manipulation and analysis. Experience with other cloud platforms is also advantageous.
• Continuous Learning and Improvement: Stay updated with the latest industry trends in BI and data analytics. Propose and implement improvements to existing data systems and processes.