Client is seeking a Business Intelligence Manager to collaborate with cross-functional teams to identify and implement growth opportunities, define key performance indicators (KPIs), and enable the company to leverage data for strategic decision-making. This person will be responsible for analyzing business performance, developing reports and dashboards, and working either hands-on or with outsourced data engineers to enhance Client’s analytics capabilities. With exposure to senior management, this role will directly influence key strategic decisions and drive operational improvements across the company.
Core Responsibilities:
Data-Driven Strategy & Analysis
Partner with key business functions (Marketing, Sales, Operations, Finance) to identify business challenges and determine where/how data can improve decision-making.
Analyze existing data sources and identify additional data that could be collected to improve decision-making.
Synthesize large datasets into clear, actionable insights to optimize business performance and customer experience.
Provide easily updated, visual representations of data and key company performance metrics.
Lead KPI development, monitoring, and reporting to track company growth and efficiency improvements.
Execution & Decision Support
Develop hypotheses, frameworks, and analytical approaches to address strategic and operational challenges.
Prepare and present concise, data-backed recommendations to leadership.
Support the execution of business initiatives, including marketing efficiency, customer acquisition/retention, pricing strategies, product performance, and operational efficiency.
Data Infrastructure & Reporting
Own the company’s data and reporting infrastructure, starting from near-0 and building out a coherent, modern, and scalable BI toolset and processes.
Ensure well-prioritized, accurate, and timely reporting of business performance.
Develop automatically updating visual dashboards and reporting tools to enable real-time decision-making.
Manage outsourced data engineers or work hands-on to build and maintain analytical tools and systems.
Qualifications:
4-6 years of experience in professional services (consulting, investment banking, corporate strategy) and/or brand analytics (eCommerce, CPG, retail, or direct-to-consumer brands).
Strong analytical mindset with expertise in business intelligence and operational analysis.
Proficiency in data visualization and analytics tools (beyond Excel), including Looker, Tableau, Power BI, etc., along with experience in SQL, R, Python, Julia, or another coding language.
Strong understanding of BI infrastructure, data pipelines, and maintenance best practices.
Hands-on experience managing data engineers to develop new analytical capabilities.
Ability to communicate complex data insights in a clear and actionable manner to business stakeholders.
Experience working with cross-functional teams and influencing decision-making through data.
Strong problem-solving skills, with the ability to structure ambiguous business questions into data-driven solutions.
