Who you are

• Educational Background: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; Master’s degree preferred
• Experience: 6+ years of experience in BI engineering or related roles, with 2+ years in a managerial or team lead position
• Technical Skills: Strong proficiency in SQL, data warehousing, ETL processes, and data modeling; preferred to have familiarity with BI tools such as Tableau, Power BI, or Looker
• Leadership: Proven track record in managing and mentoring a team, with strong leadership and interpersonal skills
• Analytical Abilities: Exceptional analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights
• Project Management: Experience in managing projects using methodologies such as Agile or Scrum
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

What the job involves

• We are seeking a talented and experienced BI Engineering Manager to lead and optimize our Business Intelligence (BI) engineering team
• This role is critical in driving data-driven decision-making across the organization by overseeing the design, development, and implementation of BI solutions
• The ideal candidate will possess strong leadership skills, a deep understanding of BI tools and technologies, and a strategic mindset to align BI initiatives with business goals
• Team Leadership: Manage, mentor, and develop a team of BI engineers, fostering a collaborative environment and ensuring professional growth and skill development
• BI Strategy: Develop and implement the BI strategy, aligning with the organization’s business objectives and driving improvements in data analysis and reporting capabilities
• Project Management: Oversee the delivery of BI projects, including planning, execution, and monitoring, ensuring timely and within-budget completion
• Technical Oversight: Lead the design, development, and maintenance of BI solutions, including data warehouses, data models, and ETL tools
• Collaboration: Work closely with data engineering, data product managers, and other stakeholders across departments to understand their data needs and translate them into actionable BI solutions
• Quality Assurance: Ensure the accuracy, integrity, and security of data within BI systems, implementing best practices and industry standards
• Innovation: Stay current with industry trends and emerging technologies, recommending and implementing improvements to enhance BI capabilities
• Project Delivery: Timeliness and quality of BI projects delivered, including adherence to deadlines and budget constraints
• Team Performance: Team productivity and engagement metrics, including individual and team development progress
• Data Accuracy: Accuracy and reliability of data within BI systems, with minimal errors or issues reported
• Stakeholder Satisfaction: Feedback from internal stakeholders regarding the effectiveness and usefulness of BI solutions and support
• Innovation Adoption: Successful implementation of new BI tools, technologies, or methodologies that enhance data analysis and reporting capabilities
• Operational Efficiency: Improvements in operational processes related to BI, including data processing times and resource utilization

Benefits

• Flexibility to work where/how you want – in-office, remote, or hybrid
• Robust health and wellness benefits, including an annual wellness stipend
• Continued investment in your professional development through Udemy
• 401k with company match
• Flexible and generous paid time off
• Employee Stock Purchase Program