Analyst, Business Intelligence

No detailed description available.

• Design business intelligence solutions and infrastructure to facilitate data gathering, storage, and retrieval.
• Partner with upstream data providers to establish new source data pipelines and follow/improve local best practices.
• Develop and maintain data pipelines, data models, reports, queries, and dashboards, including designing and implementing specific features/components.
• Provide ongoing support for data users through maintenance.
• Perform data analyses utilizing relevant tools and translate metrics/analysis into formats enabling supported teams to quickly and accurately measure performance and gain insights.
• Plan and execute prioritized project work, including selecting appropriate methods.
• Coordinate timelines and goals for assigned components of a project.
• Consult with users or cross-organization decision makers to identify data sources, required data elements, or data validation standards.

• Minimum qualifications: Bachelor’s degree or equivalent practical experience.
• Minimum qualifications: 4 years of experience in Business Intelligence or Data Analytics.
• Minimum qualifications: 4 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).
• Preferred qualifications: Experience with data warehousing or data modeling concepts.
• Preferred qualifications: Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
• Preferred qualifications: Experience with translating business requirements to BI solutions.
• Preferred qualifications: Experience with explaining technical analysis to stakeholders.

• English proficiency required
• Minimum qualifications: Bachelor’s degree or equivalent practical experience.
• Minimum qualifications: 4 years of experience in Business Intelligence or Data Analytics.
• Minimum qualifications: 4 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).
• Preferred qualifications: Experience with data warehousing or data modeling concepts.
• Preferred qualifications: Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
• Preferred qualifications: Experience with translating business requirements to BI solutions.
• Preferred qualifications: Experience with explaining technical analysis to stakeholders.