HB Planning Reporting And Insights Lead

Requirements:

• Manage a team of Data/ Analytics/ Reporting resources who work on SQL Python SSIS MS Excel and Power BI.
• Experience defining & implementing businesscentered performance metrics across a diverse range of processes
• Good communication and presentation skills; in particular the ability to translate between business requirements & data analytic solutions and vice versa.
• Operations forecasting capacity modeling & planning skills.
• Understanding of developing stored procedures functions views and TSQL programs. Developed and maintained ETL (Data Extraction Transformation and Loading) mappings using SSIS to extract the data from multiple source systems.
• Strong analytical data visualization report and presentation design skills to derive meaningful insights from the data.
• Working knowledge of application QA & Testing procedures.
• Good documentation of End UserDeveloped Applications.
• Good stakeholder management skills.
• Amenable to work in a hybrid setup (2x WFH/week) in Taguig

Leadership Responsibilities

• Strategic Planning: Lead the strategic planning process for the H&B PRI team working with the H&B Operations and GSD leadership communities.
• Team Leadership & Development: Lead peoplemanage and develop the H&B Planning Reporting and Insights team and promote a culture of collaboration productivity and delivery within the team.
• Stakeholder Management: Liaise between the H&B PRI team and key senior stakeholder groups to help align objectives and manage expectations. Stakeholder groups include the H&B Regional Operations Leaders H&B GSD teams GSD Leaders WMO PRI team Technology Data Managers and other stakeholders.
• Policy & Procedure Ownership: Develop own and maintain the approach policies and procedures for planning performance measurement and reporting across H&B GSD teams ensuring accuracy and alignment with business objectives. This includes partnering with Operations / Business to design and develop metrics and metrics reporting.
• Continuous Improvement: Constructively challenge the organization to constantly improve capability and performance and steer toward more realtime reporting.

Technical Responsibilities

• Validate Technical specifications based on functional requirements (Metrics and Metrics Reporting).
• Ensure processes are set up to support debugging of solutions/ applications in test and production environments.
• Propose tools to improve the reporting process and stakeholder experience.
• Setup robust processes to maintain and repair existing Management Reporting/ Analytics applications
• Work closely with Risk & Compliance Teams to ensure appropriate controls on data and solutions/ applications.
• Ensure consistent Data methodology tools and thinking are embedded in operations.
• Drive CoP which includes publishing learnings from various initiatives to enrich intellectual capital in the organization.

Team Responsibilities

The following are the detailed responsibilities of the team that this role will lead.

• Support Managers and Team Leaders in implementing Planning and Reporting within their teams (i.e. teamlevel planning and reporting).
• Maintain regular performance reporting & dashboards across all core delivery processes ensuring accuracy relevance and accessibility.
• Collaborate with crossfunctional teams (e.g. with Technology or WMO PRI) on projects requiring data analysis or reporting skills (e.g. new dashboard development or new workflow deployment)
• Produce adhoc reports & insights in response to specific queries or emerging trends.
• Support Operations Leaders in resource allocation workload management and strategic decisionmaking.
• Support Continuous Improvement by helping to identify problem areas trends and opportunities for improvement.
• Continuously improve reporting and analytics processes to enhance the efficiency and effectiveness of reporting.
• Work with large (Operations/ Business) data sets and derive meaningful insights (using analytics) from the data (includes combining and summarizing data from multiple data sources to generate meaningful analysis)
• Build reproducible pipelines to collect messy data from disparate source systems.
• Distil complex analyses into simple compelling visualizations and dashboards.

Remote Work :

No