Business Insights & Analytics Manager

Role Overview:

Business Analytics and Insights Manager

As a key contributor, you will establish methods and systems to predict business trends, forecast performance across product lines, and provide data-backed recommendations for improving revenue attainment, customer retention, and sales performance. You will also lead efforts to establish seamless integrations between data sources, data catalogue systems, and analytics tools to drive insights and innovation.

Key Responsibilities:

1. Business Insights and Intelligence:

• Deliver actionable insights and dashboards using tools like Power BI, KNIME, Tableau, and similar analytics platforms.
• Communicate insights to Success Managers, Product Leaders, and Customer Experience Executives through engaging visualizations and data stories.
• Support leadership with data-driven recommendations to enhance decision-making and strategic planning.

1. Predictive Analytics and Forecasting:

• Analyze historical and real-time data to develop predictive models and forecasts for business value growth, revenue attainment, and customer experience improvement.
• Identify renewal trends, churn risks, and upsell/cross-sell opportunities through data-driven insights.
• Provide forward-looking recommendations to mitigate risks and optimize performance.

2. Data Integration and Management:

• Establish and manage integrations across data sources, including CRM platforms, customer journey tools, contract management systems, and support ticket databases, ensuring a unified data view.
• Build, maintain, and optimize data pipelines, warehouses, and catalog systems for scalable analytics.
• Implement robust data governance frameworks to ensure data integrity, accuracy, and security.

3. Advanced Analytics and AI/ML Enablement:

• Leverage advanced analytics platforms and AI/ML capabilities to generate predictive and prescriptive insights.
• Develop forecasting models to anticipate business trends, revenue outcomes, and customer behavior.
• Drive corrective and preventive strategies by translating analytics into operational and business actions.

5. Stakeholder Collaboration and Alignment:

• Collaborate with cross-functional teams to understand business challenges and identify data solutions.
• Act as a trusted advisor to senior leadership by providing strategic insights aligned with business objectives.
• Foster a culture of data-driven decision-making across teams and departments.

Qualifications and Skills:

Education:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Business Analytics, or a related field.

Experience:

• 13–15 years of experience in data analytics, business intelligence, or related domains, with expertise in predictive analytics and forecasting.
• Experience working in a B2B SaaS environment or similar industries.
• Experience in data driven product management and analytics will be preferred

Technical Expertise:

• Proficiency in analytics and visualization tools like Power BI, KNIME, Tableau, or Looker.
• Expertise in AI/ML platforms and programming languages (e.g., Python, R, TensorFlow).
• Strong understanding of data management, data catalog systems, and governance frameworks.

Functional Knowledge:

• Deep understanding of customer lifecycle management, renewal trends, and business performance metrics.
• Proven ability to forecast business outcomes and identify opportunities for growth and customer satisfaction improvement.
• Strong ability to translate data into actionable insights that drive strategy and performance improvement.