Executive recruitment consultant Monroe Consulting Group Indonesia is recruiting on behalf of one of the leading fintech company in Indonesia. Our respected client is seeking a professional for Sr Experimentation Platform Lead. The job is based in Jakarta.
Key Responsibilities:
- Develop and lead the implementation of an experimentation platform to enable data-driven decision-making.
- Drive the company's experimentation program to increase the number of experiments conducted and improve the quality of insights generated.
- Collaborate with cross-functional teams to identify key business questions and develop hypotheses to test through experimentation.
- Develop and maintain a roadmap for the experimentation platform, ensuring it aligns with the overall business strategy and goals.
- Build and manage a team of data analysts and data scientists to execute experiments and analyze results.
- Conduct data analysis and interpretation to provide insights and recommendations to senior management.
- Develop and maintain a system of experimentation best practices and standards, including documentation and reporting processes.
- Collaborate with IT teams to ensure data infrastructure and systems are optimized to support the experimentation platform.
- Stay up-to-date with industry trends and emerging technologies related to experimentation and business intelligence.
- Act as a thought leader and evangelist for data-driven decision-making throughout the organization.
Qualifications:
- Bachelor's or Master's degree in a quantitative field such as Computer Science, Mathematics, Statistics, or a related field.
- At least 7-10 years of experience in data analysis and business intelligence, preferably in a fintech or other data-driven industry.
- Proven experience in developing and implementing experimentation platforms, with a track record of delivering measurable business impact through experimentation.
- Strong knowledge of statistical methods, experimental design, and data analysis techniques, with experience in using tools such as R, Python, SQL, or similar.
- Experience managing teams of data analysts and data scientists, with a focus on developing their skills and capabilities.
- Excellent communication skills, with the ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Strong project management skills, with the ability to manage multiple projects and priorities simultaneously.
- Ability to work collaboratively with cross-functional teams, including product, engineering, marketing, and finance.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong understanding of data architecture and data infrastructure, with experience in working with large, complex datasets.
- Proactive and self-motivated with a willingness to learn and stay up-to-date with emerging trends and technologies in the field of business intelligence and experimentation.
