Full-Time Senior Business Intelligence Manager
TechnologyAdvice is hiring a remote Full-Time Senior Business Intelligence Manager. The career level for this job opening is Senior Manager and is accepting USA based applicants remotely. Read complete job description before applying.
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Opportunity: As the Senior Business Intelligence Manager, you will lead a team of analysts and data engineers to deliver scalable data solutions and insights, empowering business teams to make data-driven decisions. You'll manage data workflows, pipelines, and reporting solutions impacting business performance. You'll be responsible for strategy, execution, and optimization of BI initiatives, ensuring high standards of data quality, governance, and usability.
Responsibilities:
- Lead, mentor, and manage a team of BI analysts and data engineers for 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 and analysis.
- Drive self-service analytics by building and maintaining data models, tools, and reporting systems using platforms like DBT, Tableau, Looker, and SQL.
- Establish and enforce data quality, accuracy, and governance standards.
- Partner with stakeholders to identify critical data problems and develop scalable solutions.
- Oversee data architecture, ensuring efficient data warehousing and system integrations.
- Manage multiple projects with competing priorities, ensuring timely delivery and alignment with business goals.
- Proactively address critical deadlines and challenges through hands-on technical contributions.
- Provide guidance and coaching to team members and business partners to maximize the value of data engineering and BI solutions.
Qualifications:
- 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 (SQL, DBT, ETL/ELT pipelines).
- Strong understanding of data architecture, modeling, and pipeline best practices.
- Proficiency with cloud-based data warehousing (e.g., AWS Redshift or Google BigQuery).
- Proficiency with Tableau for visualization and reporting.
- Experience working with audience data (e.g., Google Tag Manager, GA4).
- Proven ability to design, implement, and optimize data workflows and infrastructure.
- Familiarity with version control systems (e.g., Git, GitHub).
- Excellent communication skills for presenting technical concepts to non-technical stakeholders.
Benefits:
- Career Growth: Mentorship programs, leadership academies, DEI initiatives.
- Flex Fridays: Adjust your 40-hour week.
- Remote-First Culture: Work from home.
- Flexible PTO: Take time off as needed.
- Comprehensive Benefits: Health, dental, vision, life, disability, 401k with match, parental leave, wellness perks, pet insurance.
- Speaker Series Bonus: Present in monthly speaker series.
- Book Reimbursement: Get up to 12 books reimbursed annually.
Compensation: $130,000-$200,000 USD per year
Additional Information: Remote work is available. Pre-employment screening required. TechnologyAdvice does not engage with external staffing agencies.