Operational Analytics Manager - Davao City

Job Summary

The Manager of Operational Analytics is responsible for analyzing business operations, optimizing processes, and driving data-driven decision-making. This individual will use advanced analytics and business intelligence to identify trends, assess performance, and implement solutions that improve the efficiency and effectiveness of the company's operations.

Operational Optimization: Identify areas for process improvements, cost reductions, and increased efficiency

Cross-Department Collaboration: Partner with stakeholders in various departments (e.g., operations, supply chain, finance, HR) to gather data, understand challenges, and align on operational strategies.

Advanced Analytics & Tools: Utilize advanced analytical tools, such as machine learning, predictive analytics, and automation, to improve business processes and outcomes.

• Analytics Strategy & Execution:
• Analyze and operationalize data across various departments to monitor performance, identify trends, and develop actionable insights
• Oversee operational analytics projects from inception to completion, ensuring timely delivery and alignment with organizational priorities
• Develop and execute operational analytics strategies to support the business objectives of various departments (e.g., marketing, finance, operations).
• Develop predictive models and advanced analytics solutions to address business challenges and identify growth opportunities.
• Map clients’ strategic and core customer experience processes
• Deliver effective process gap identification activities to detect improvement and opportunity areas systematically and proactively
• Journey map and re-design, focus on identifying opportunities to re-design the customer journey and better fulfill customer and client needs
• Provide quantified (with ROI) and actionable recommendations to improve operational performance on KPIS.
• Cross-Functional Collaboration:
• Work closely with business internal and external stakeholders across various departments to understand their data needs and translate them into actionable insights.
• Partner with product, marketing, sales, and finance teams to identify key business questions and deliver relevant data-driven solutions.
• Communicate findings, insights, and recommendations clearly to non-technical stakeholders and senior leadership.
• Will work with Operations to implement and measure recommendations.
• Stakeholder Communication: Present findings and recommendations to executives and key stakeholders, simplifying complex data insights into clear and actionable business recommendations.
• Reporting & Performance Monitoring:
• Track and report on the effectiveness of data-driven initiatives.
• Regularly report on the effectiveness of analytics initiatives, providing clear, actionable insights to senior leadership.
• Monitor and evaluate the performance of analytics models and tools, ensuring they meet business needs and goals.

• Education:
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Experience:
• 1-2 years of experience in data analytics or business intelligence, with at least 1 year in a management role.
• Proven experience in delivering actionable insights from large datasets and building reports and dashboards.
• Strong understanding of analytics tools and technologies, such as SQL, Python, R, Tableau, Power BI, etc.
• Skills:
• Leadership and team management skills, with a track record of leading analytics projects.
• Excellent communication and presentation skills, with the ability to simplify complex data insights for non-technical audiences.
• Deep understanding of data architecture, data governance, and business intelligence systems.
• Experience with data visualization, statistical modeling, and business intelligence platforms.
• Strong problem-solving skills and the ability to think strategically about data applications.
• Expertise in using machine learning algorithms, predictive modeling, and statistical analysis to support business initiatives.

• Drive for Results
• Decision Quality
• Cultivates Innovation
• Developing People/ Talent
• Building Teams of Trust
• Fostering a Diverse and Inclusive Climate

• Advanced Organizational Change Management
• Advanced Organizational Development Issues and Practices
• Advanced Talent Management
• Advanced Succession Planning
• Other Expectations Not Listed Above
• Full-time, remote with occasional onsite support
• Occasional travel may be required for meetings and industry events.