Data Driven Decision Maker

1 day ago


Manila, National Capital Region, Philippines beBeeLeadership Full time ₱1,500,000 - ₱1,800,000
Key Roles and Responsibilities

The role of a Senior Analytics Solutions Lead serves as the team's critical thinker and builder, designing executive-ready reports/dashboards, owning the KPI Management process, and safeguarding data quality from source to scorecard.

The successful candidate will be able to blend hands-on analytics with process excellence, release/UAT gating, and executive-facing communication. This involves partnering with Business Analysts, Management Analysts/Reporting Developers, Operations/WFM, and Directors/VPs to ensure KPIs are accurately defined, reliably delivered, and translated into clear actions and outcomes.

Core Responsibilities:
  • Diagnose cross-department processes through data-driven assessments, value-stream mapping, SIPOC, and stakeholder interviews
  • Design future-state workflows and KPI frameworks that weave people, data, technology, and controls
  • Execute change by running Kaizen/DMAIC workshops, converting decisions into Jira epics/sprint backlogs, chairing ceremonies, and maintaining RAID logs until benefits are realized
  • Govern the enterprise playbook with audit-ready, version-controlled evidence
  • Communicate effectively to build live-linked KPI dashboards, board-ready slide decks, concise 'end-of-day' alignment notes, and presenting controls during compliance reviews
Required Skills and Qualifications:
  • Strong Power BI/Tableau, Advanced Excel, and SQL skills
  • Capable of modeling data, validating metrics, and working with large/complex datasets
  • Proven experience defining KPI catalogs, implementing data-quality rules and automated tests/scorecards, and managing release/UAT gates and change control
Benefits:

This role offers a challenging opportunity for senior ICs who can work end-to-end across Reporting & Analytics (R&A) value streams, surface hidden friction, and turn insight into measurable results.

The ideal candidate will possess strong analytical and problem-solving skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced environment.

Additional Requirements:
  • Bachelor's degree in business, MIS, Industrial Engineering, Data Science/Analytics, or a related field required; MBA or related master's preferred
  • 5-7 years in BI/Reporting/Analytics Operations or Process/Operational Excellence as a senior individual contributor; contact center/BPO experience preferred

Preferred qualifications include experience with Python or R data analysis, data analytics in a call center, and several high-valued analytics projects implemented.



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