Manager, Scaled Ops Analytics

2 days ago

Singapore Facebook App Full time

**Manager, Scaled Ops Analytics Responsibilities**:

- Manage a team skilled in data analysis, providing mentorship, guidance, and career development while enabling deeper, more scalable solutions
- Influence direction, design, and execution of analytics initiatives for highly ambiguous areas impacting Scaled Ops/Global ops
- Work with data engineering / data science and other analytics team to establish data sources that serve the organization’s needs, identifying and advocating for process improvements and industry best practices
- Effectively communicate results and illustrate suggestions in compelling and creative ways to management across the globe
- Elevate key themes (backed with strong data/insights) and collaborate with Engineering/Product teams for investments in developing long term tooling solutions
- Establish team goals and work with direct reports on strategies for executing, measuring progress, and sharing results

**Minimum Qualifications**:

- BA/BS or higher degree in STEM (e.g. Statistics) or related field
- 7+ years of experience in consulting or analytics, ideally in an operations environment
- 2+ years of direct experience managing an analytics team
- Experience with SQL, data analysis, visualization tools (e.g. Tableau), or programming languages such as Python
- Experience leveraging knowledge and influencing across multiple programs and stakeholders, including executive leadership
- Experience communicating with management and partnering with cross-functional stakeholders (including presentations)
- Experience driving strategic as well as operational projects, understand the needs of the business, supporting both operations and data/analytics stakeholders
- Proactive, intellectually curious, and creative, comfortable operating with a high degree of ambiguity
- Good interpersonal skills, understand the needs of cross functional partnership, ability to connect, support and cooperate with other teams

**Preferred Qualifications**:

- Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics) and/or MBA
- Experience in operational analytics or operational excellence
- Experience thriving and driving change in a dynamic and fast-paced operational environment
- Experience partnering with globally distributed stakeholders/teams

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