Business Insights and Analytics Manager

Business Insights and Analytics Manager

Job Summary

The Business Insights and Analytics Manager will establish and lead the organization’s enterprise analytics capability by transforming trusted, multi-source business data into actionable insights, predictive models, executive dashboards, and decision-support solutions.

The role will provide strategic direction for analytics across revenue and sales performance, marketing and growth, client technical support and lifecycle management, internal business operations, and enterprise data governance.

The successful candidate will lead and develop the analytics team, collaborate closely with business and technology stakeholders, and ensure that data products are accurate, secure, well-documented, scalable, and aligned with data privacy, quality, and governance standards.

The role will also champion the adoption of AI, machine learning, self-service analytics, and modern data operations to improve business performance, operational efficiency, customer retention, and management decision-making.

Key ResponsibilitiesStrategy, Leadership & Analytics Delivery

• Define and execute the enterprise data and analytics roadmap in alignment with business objectives.

• Lead, mentor, and develop a high-performing team of data analysts and BI professionals.

• Translate business questions and requirements into scalable analytics solutions.

• Provide strategic insights and data-driven recommendations to senior management and business leaders.

• Prioritize and manage analytics projects and deliverables across multiple stakeholders.

• Establish best practices for analytics development, documentation, reporting, and self-service analytics.

Technical & Data Analytics Oversight

• Oversee data architecture, analytics pipelines, BI platforms, and reporting solutions to ensure accuracy, reliability, and scalability.

• Partner with Data Engineering and Architecture teams to define data requirements and ensure the availability and quality of required source data.

• Promote the use of standardized and trusted enterprise data models for analytics and reporting.

• Ensure analytics solutions comply with data privacy, security, quality, and governance requirements.

Revenue & Sales Analytics

• Develop and maintain analytical models for B2B sales pipeline health, win/loss ratios, deal velocity, and sales performance.

• Build data-driven revenue forecasting and projection models.