Business Analyst Senior Manager

Responsibilities

In our commitment to solve the most pressing challenges for our customers by leveraging data to drive strategic decisions, we seek experienced analysts who can deliver comprehensive data insights to enhance our services for customers, partners, and internal teams. Key responsibilities include:

1. Working With Large Datasets: Independently compile large and intricate datasets, construct, and deploy data models tailored to business or analytical requirements.

2. Collaborate Across Teams: Work with various Business or Operations Teams to grasp issues, conceptualize analytics frameworks, and translate business problems into technical hypotheses.

3. Design & Evaluate Analytical Methods: Develop and recommend analytical methods such as A/B testing, assess model performance, interpret experimental outcomes, and offer data-driven recommendations.

4. In-Depth Analysis & Trend Identification: Conduct thorough analyses of our operations, research market and industry trends, pinpoint emerging patterns and opportunities, and consistently provide actionable business insights via analytics reports and performance dashboards.

Requirements

1. Bachelor’s degree or above.

2. Relevant experience in data-related or quantitative fields such as Analytics, Data Science, Statistics, or Mathematics.

3. Proficiency in SQL, Python, or other scripting/programming languages.

4. Experience in handling large datasets and maintaining complex Extract, Transform, Load (ETL) processes.

5. Solid understanding of statistics with hands-on experience in conducting and analyzing controlled experiments, and skilled in creating reports and dashboards.

6. Strong communication and collaboration skills; capable of engaging with multiple stakeholders and effectively conveying data findings and recommendations.

Job Highlights

1. Strategic Decision Support: Manage extensive datasets and tackle complex problems to provide holistic data insights driving strategic decisions for customer operations

2. Technological Innovation: Contribute to the ongoing advancement of technologies and tools like data development, Gen/AI, systems and process improvements

3. Fast-paced and Multi-cultural Collaboration: Engage with stakeholders across diverse teams within the company, apply expertise, learn from unforeseen results, investigate root causes, and refine user experiences.

4. multicultural working environment