SVP Business Intelligence and Analytics Lead

Responsibilities

• Data Analysis and Reporting: Analyze business data, generate reports, and create compelling data visualizations using business intelligence tools like Power BI or Tableau.
• Data Integration: Lead and design the data integration processes, ensuring data consistency and reliability. Work with external vendors and internal technology teams to navigate data landscape and regulations, sharing agreements, and integrate data from multiple data sources into a centralized data warehouse or reporting environment.
• Stakeholder management: Partner with business stakeholders and identify business reporting requirements and business questions from marketing stakeholders and transform them into key metrics and measurement outputs. Ensure data quality and accuracy.
• Data Analysis and Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that can inform business decisions. Communicate findings and recommendations to stakeholders in a clear and concise manner, and provide recommendations for advanced analytics to sharpen business decisioning.
• Leadership and team management: Lead, mentor, and develop a team of business intelligence analysts, ensuring the successful development and implementation of measurement tools. Oversee day-to-day reporting and deliverables, foster a culture of continuous learning, and ensure high performance and career growth for team members.
• Vendor Management: Cultivate and lead strategic relationships with key data and media vendors, keeping abreast of latest features and capabilities of BI tools and platforms.
• Operational Excellence: Oversee the end-to-end project lifecycle, from data collection, data structure and framework, QA, resource and timeline management and deployment. Proactively identify opportunities to enhance reporting processes, tools and analyses.

Qualifications

• Minimum 10+ years’ experience within data analysis, business intelligence, or a related field, either on the client side, agency side or publisher side.
• Highly analytical, with a proven ability to distill data and numbers into business outcomes, derive and communicate strategic insights and implications for senior leadership.
• Solid understanding of data warehousing concepts, data modeling techniques, and ETL processes.
• Clear understanding of benefits and limitations of reporting platforms in terms of breadth of visualization options, customizability, interactivity, connectivity to databases, near real-time updates etc.
• Experience working with large datasets and relational databases (e.g., SQL Server, Oracle, MySQL).
• Outstanding data storytelling skills, communication, presentation, and negotiation skills, capable of influencing and engaging executive-level stakeholders across a matrixed organization.
• Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic.
• Ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven.
• Process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams.
• Exceptional strategic thinking, problem-solving, and decision-making capabilities, with a focus on long-term impact.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
• Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.