Director of Data and Analytics

Summary

Join FEVO as their experienced and strategic Director of Data and Analytics! Lead the development and execution of data management, analytics, and business intelligence initiatives. Ensure data accuracy, integrity, and accessibility while building a scalable data infrastructure. Drive data governance, optimize data processes, and empower teams with actionable insights. Collaborate with business leaders and mentor a team of analysts. This role requires extensive experience in business analytics and data management, along with strong technical skills and leadership capabilities.

Requirements

• Bachelor’s degree in Statistics, Data Science, Computer Science, Business Analytics, or a related field
• 10+ years of experience in business analytics, data management, or a related discipline
• Extensive SQL expertise, with the ability to write and optimize complex queries for data structuring and processing
• Advanced proficiency in data management tools and programming languages (e.g., SQL, Python), with experience in data transformation, automation, and process optimization
• Deep understanding of data governance, data quality, and data privacy principles
• Proven experience with ETL processes, data warehousing, and semantic data modeling
• Strong expertise in building business intelligence dashboards using Domo, Looker, or similar tools
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams
• Demonstrate exceptional leadership and mentoring capabilities, with a track record of building and managing high-performing analytics teams

Responsibilities

• Develop and implement a comprehensive data management strategy to ensure data accuracy, integrity, and compliance with governance and privacy standards
• Establish and enforce rigorous quality control measures to maintain data reliability across the organization
• Define and standardize data transformation and curation processes using dbt (data build tool) to optimize data usability
• Lead the Extract, Transform, Load (ETL) processes, integrating data from internal and external sources to ensure efficiency and accuracy
• Design and implement semantic data layers to unify data sources and create a consolidated transaction database
• Streamline data sourcing, transformation, validation, and reporting to support financial and operational business needs
• Oversee the design and implementation of scalable data models that enable analysts, data scientists, and business users to extract insights via SQL or self-service tools like Looker
• Develop and optimize data marts to provide domain-specific data views, supporting reporting and analysis across business functions
• Lead the development and deployment of business intelligence dashboards using tools such as Domo and Looker, delivering actionable insights to key stakeholders
• Translate complex datasets into clear, compelling narratives that inform strategic decision-making
• Ensure the self-service BI and data visualization strategy enables business users and data practitioners to effectively monitor key performance indicators
• Collaborate with business leaders to understand data needs, prioritize high-impact initiatives, and develop data-driven solutions
• Oversee both day-to-day execution and long-term data strategy, ensuring alignment with overall business objectives
• Mentor and lead a team of analysts, fostering a culture of collaboration, innovation, and continuous improvement
• Champion a data-driven culture by promoting best practices in data literacy, analytics, and business intelligence
• Perform other duties, as assigned

Preferred Qualifications

An advanced degree

Benefits

• Exempt, Base salary of $150,000 per year
• Comprehensive benefits package options, including health, dental and vision insurance, supplemental benefits, 401(k) retirement plan and flexible PTO
• Opportunities for professional growth and development within an innovative and forward-thinking organization
• Flexible work location (Remotely - USA)