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Senior Business Intelligence Manager

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 8+ years

📍 Location: United States

💸 Salary: 130000.0 - 200000.0 USD per year

🔍 Industry: B2B technology

🏢 Company: TechnologyAdvice👥 251-500E-CommerceLead GenerationSaaSB2BMulti-level Marketing

⏳ Experience: 8+ years

🪄 Skills: AWSLeadershipSQLBusiness IntelligenceETLGitTableauStrategyData engineeringCommunication SkillsCoaching

Requirements:
  • 3+ years of experience managing teams in data engineering, analytics, or technical roles.
  • 5+ years of experience in business intelligence, data engineering, or a related field.
  • Expertise in data engineering tools and frameworks, including SQL, DBT, and ETL/ELT pipelines.
  • Strong understanding of data architecture, modeling, and pipeline best practices.
  • Experience with audience data tools like Google Tag Manager and GA4.
  • Proven ability to design, implement, and optimize data workflows and infrastructure.
  • Proficiency with BI tools such as Tableau, Looker, or Power BI for visualization.
Responsibilities:
  • Lead, mentor, and manage a team of BI analysts and data engineers to deliver impactful analytics and data engineering solutions.
  • Collaborate with cross-functional teams to align BI and data engineering strategies with organizational goals.
  • Design and implement scalable data pipelines, ETL/ELT workflows, and frameworks for data processing.
  • Drive self-service analytics by building and maintaining robust data models and reporting systems.
  • Establish and enforce data quality, accuracy, and governance standards across initiatives.
  • Oversee data architecture and manage multiple projects to ensure timely delivery and alignment with business goals.
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📍 United States

🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 B2B technology

  • 3+ years experience managing teams in data engineering, analytics, or technical roles.
  • 5+ years experience in business intelligence, data engineering, or a related field.
  • Expertise in data engineering tools including SQL, DBT, and ETL/ELT pipelines.
  • Strong understanding of data architecture, modeling, and pipeline best practices.
  • Experience with audience data tools like Google Tag Manager and GA4.
  • Proven ability to optimize data workflows and infrastructure.
  • Proficiency in BI tools like Tableau, Looker, or Power BI.
  • Familiarity with version control systems like Git and platforms like GitHub.
  • Excellent communication skills for presenting technical concepts.
  • Driven self-starter mentality, thriving in fast-paced environments.
  • Strategic thinking for building impactful data solutions.

  • Lead, mentor, and manage a team of BI analysts and data engineers.
  • Collaborate with cross-functional teams to align BI strategies with organizational goals.
  • Design and implement scalable data pipelines and ETL/ELT workflows.
  • Drive self-service analytics by building data models and reporting systems.
  • Establish and enforce data quality and governance standards.
  • Partner with stakeholders to identify and develop scalable data solutions.
  • Oversee data architecture for efficient data warehousing.
  • Manage multiple projects with competing priorities.
  • Address critical deadlines and challenges through technical contributions.
  • Provide guidance to team members to maximize value from data solutions.

AWSLeadershipSQLBusiness IntelligenceETLGitTableauStrategyData engineeringCommunication SkillsCoaching

Posted about 1 month ago
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