
Manager, Data Analytics
- Pasig City, Metro Manila
- Permanent
- Full-time
- Lead data technology solution design and implementations and ensure requirements are met and delivered on time.
- Define KPI's for performance management and improvement, generate report results and present findings.
- Develop efficient, scalable, and repeatable processes using large scale data sets for external and internal customers. Create and troubleshoot database and queries.
- Create data visualization and dashboards for internal and external clients.
- Manage complex projects including the management of documents, workbooks and code and provide written explanations in plain language that supports methodology, conclusions, and observations.
- Drive efficiency through continuous improvement & automation. Ensures global initiatives and process changes are successfully documented, implemented, and reflected in the steering measures.
- Development of BI/Analytics team (globally and for key accounts)
- Management of APLL products and enhancements. Operations Management
- Define and agree Service Level Agreements (SLAs) with key stakeholders, including Key Performance Indicators (KPIs), and manage performance.
- Participate and lead monthly performance calls with Key Stakeholders.
- Manage people, resources, and processes to ensure high quality service delivery in line with global process model and agreed on target KPIs.
- Identifies training and development programs for members to develop a high performing and engaging team
- Mentor and develop employees to assume leadership positions in the company and build talent paths for key performers.
- Manages overall employee hiring, evaluation, and termination.
- Manage department budget and ensure spends are within approved budget and accounted for.
- Meet and exceed contribution margins and EBIT targets in projects.
- Regular period review with Finance to close performance gaps on financials. Support in annual budgeting exercise; present to Senior Leadership team.
- Minimum 7 to 10 years of experience in analytics role; preferably in logistics, shipping or related industry.
- Data analytics, business intelligence, database management, reporting or similar.
- Experience with MS Excel, MS Access, SQL, Server, SSIS, VBA, and BI Software like Tableau, QlikView or similar.
- Experience in managing a team of 10 to 20 headcounts.