| Company: | |
|---|---|
| Job Role: | Data Analyst, Global Ops Central Analytics. |
| Experience: | (1-2 years). |
| Vacancy: | 20+ |
| Qualification: | B.S. degree with a quantitative focus in Economics, Computer Science, or equivalent. |
| Salary: | $150,000 SGD/year. |
| Location: | Singapore. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Facebook's mission is to give people the power to build community and bring the world closer together. We are building a different kind of company with our family of apps and services that connects billions of people around the world, gives them a way to share what matters most to them, and helps bring the world closer together. We at Facebook are builders at heart, whether we're creating new products or helping a small business expand its reach. We empower people around the world to build community and connect in meaningful ways by constantly iterating, solving problems, and working together. We're just getting started, but we can help people build stronger communities. For candidates with disabilities, long-term conditions, mental health conditions, and those who are neurodivergent, as well as those with sincerely held religious beliefs or who need pregnancy support, Facebook is committed to providing reasonable accommodations (accommodations) in our recruitment processes.
Description:
To give people the power to build community on our platforms, we need to make sure they have the best and most secure experiences possible. Analytical expertise, data infrastructure, and reporting enable Facebook's Global Operations organization to be self-sufficient in tactical decision-making and drive operations strategy. Data Engineering, Data Science, Product, and Engineering partners outside Global Operations form our key partnerships, as do embedded data teams and core functions within Global Operations. Through research and advanced analysis, we are responsible for providing accurate, reliable, and accessible business metrics as well as contextualizing them in operational performance. For people and businesses across the world to connect safely, Facebook is in need of Analysts who share this passion. In addition to comfort in a fast-moving organization, the right candidate will be excited to collaborate and focused on positively impacting the experience of a global workforce and the entire Facebook community. As an organization's chief impact driver, they have strong quantitative analytical skills, statistical know-how, data visualization skills, and superior partner building abilities.
This position will be based in our Singapore office supporting a global team.
Responsibilities:
- Apply quantitative skills to and incorporate qualitative insights to inform and influence strategy for Global Operations
- Working with Operations, Data Science, Data Engineering, Product and Engineering teams to identify trends and opportunities
- Prepare plans, processes, and playbooks by analyzing data, conducting research, and synthesizing feedback
- To monitor the performance of our operations and drive business understanding, build/maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards).
- Measuring the effectiveness of human reviews by designing, implementing, and monitoring metrics
Minimum Qualifications:
- B.A. or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, Operations Research, or equivalent training
- Ability to query and manipulate complex raw datasets for analysis using SQL & Python
- Two or more years of experience with data visualization tools (e.g., Tableau, Looker)
- Extensive experience with statistical analysis (e.g., hypothesis testing, probability, prevalence measurement, regressions, experimentation logic and biases, data modeling techniques, time series analysis)
- Expertise in data pipeline architectures, data modeling and reporting systems
- Having the ability to translate business objectives into actionable analyses of technical concepts and their implications, and able to explain both to varied audiences
Preferred Qualifications:
- Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics)
- Ability to think strategically, solve product problems structurally, and drive execution
- Developing data pipelines using SQL and Python-based ETL frameworks
- Code release experience
- Coding experience that can be tested
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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