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Senior Data Analyst, Finance Data
Company | Grab |
Address | Area DKI Jakarta, Indonesia |
Employment type | FULL_TIME |
Salary | |
Category | Pengembangan Perangkat Lunak |
Expires | 2023-10-04 |
Posted at | 7 months ago |
:
- Lead new data analytics capability rollouts in Corporate Analytics, Investor Relations and Compliance.
- Be our expert in using data to measure and analyse business performance in each of our markets and lines of business.
- Explore business issues/opportunities, uncover insights and/or identify targeted areas for business growth.
- Collaborate with cross-functional teams, including finance, and business operations, to understand their data needs and develop innovative analytical approaches to address complex financial challenges.
- Stay up-to-date with industry trends, emerging technologies, and best practices in data science, finance, and analytics, and leverage this knowledge to enhance the organization's data-driven capabilities.
- Design market/business intelligence reports, performance measurement dashboards and other data products with focus on Corporate Analytics, Investor Relations and Compliance domain.
- Utilize statistical and machine learning techniques to analyze large datasets and derive meaningful insights that drive business decisions, improve financial performance, and mitigate risks.
- Effectively communicate complex analytical findings and recommendations to both technical and non-technical stakeholders, including senior management, through clear and concise reports, presentations, and visualizations.
- 3 - 6 years of experience or multiple internships in Analytics, Business Intelligence or Data Science role, preferably in an Internet or 'Direct to Consumer' company with large, complex, high velocity data
- Passionate about solving problems – possesses a relentless need for investigation and data exploration.
- Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
- Experience in working with stakeholders in the Investor Relations and Corporate Strategy domain is a strong plus.
- Effective communicator to both technical and business audiences.
- Experience using Big Data technologies (Spark, PySpark, Databricks) is a strong plus.
- Experience in business, strategy and/or tech consulting would be an advantage.
- Strong foundation in data query/manipulation using SQL and data visualization using tools like PowerBI.
- A Bachelor's/Masters degree, preferably in Analytics, Statistics or Engineering.
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