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Senior Business Intelligence Lead

Posted 25 days agoViewed

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💎 Seniority level: Lead, 10 years

📍 Location: United States

🔍 Industry: Advanced analytics consulting

🏢 Company: Tiger Analytics👥 1001-5000AdvertisingConsultingBig DataNewsMachine LearningAnalytics

⏳ Experience: 10 years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisETLTableauReportingData visualizationData modelingData analytics

Requirements:
  • Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
  • Advanced degrees are preferred.
  • A minimum of 10 years of experience in business intelligence, data analytics, or a related field.
  • Strong portfolio demonstrating proficiency in BI tools such as Tableau, Power BI, or similar platforms.
  • Proficiency in SQL and familiarity with programming languages such as Python or R.
  • Strong understanding of data warehousing concepts, SQL, and data modeling.
  • Exceptional analytical and problem-solving abilities with meticulous attention to detail.
  • Strong communication skills with the ability to engage and educate stakeholders on data-driven insights.
  • Demonstrated leadership capabilities in guiding and mentoring team members and leading cross-functional initiatives.
Responsibilities:
  • Define and advocate for best practices in the visual delivery of information through effective reporting and visualization techniques.
  • Lead and support the BI Community of Practice, promoting best practices in business intelligence across the organization.
  • Lead the development of strategic reporting and visualization assets that support key program initiatives.
  • Collaborate with corporate IT to define and deliver a technology platform that supports ad-hoc and enterprise reporting needs.
  • Design, build, and maintain sophisticated reports and interactive dashboards using BI tools like Tableau, Power BI, or similar.
  • Develop compelling visualizations to communicate insights from data analysis and AI initiatives.
  • Work closely with various business units to understand data requirements and translate them into meaningful and actionable information.
  • Ensure the accuracy and integrity of data through thorough validation and testing processes.
  • Provide training and support to business users on the effective use of reporting tools and dashboards.
  • Keep abreast of the latest trends and advancements in BI technology and data visualization techniques.
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