- 经验
- 6-8岁
- 薪水
- —
- 职位空缺
- 1
- 发布
- 12小时前
- 工作模式
- 在办公室
- 学历
- Bachelor’s or Master’s degree
- 恢复
- 需要申请
你的工作地点
职位描述
About Deloitte Strategy, Risk & Transaction
Deloitte Strategy, Risk & Transaction supports organizations in managing risks while identifying new avenues for value creation. Our comprehensive risk management services cover all areas, including strategic risk management at the executive level, enhanced board oversight, aligning financial and environmental strategies, and addressing cybersecurity threats.
Key Responsibilities
- Create, develop, and manage data pipelines utilizing AWS services such as Glue, Athena, S3, and QuickSight.
- Analyze extensive and intricate datasets to extract actionable insights that drive business decisions.
- Design and implement dashboards, reports, and data models to aid strategic decision-making.
- Establish and uphold data governance frameworks encompassing data quality standards and policies.
- Develop and maintain validation rules and controls to ensure data accuracy, completeness, and consistency.
- Collaborate with stakeholders to promote initiatives aimed at enhancing data quality.
- Employ Python mandatorily, along with SQL or R, for data extraction, transformation, and analysis.
- Automate workflows including data pipelines, validation procedures, and reporting tasks.
- Handle both structured and unstructured data across multiple systems.
- Engage with cross-departmental teams such as Risk, Finance, and IT to gather requirements and deliver solutions.
- Effectively communicate technical and analytical insights to diverse audiences.
- Prepare regular liquidity reports adhering to internal standards.
- Work closely with treasury and finance teams on cash flow forecasting and process improvements.
Qualifications and Skills
- Bachelor’s or Master’s degree in Finance, Engineering, Data Science, Economics, or related disciplines.
- 6 to 8 years of professional experience in data analytics.
- Comprehensive knowledge of data governance frameworks and data quality control mechanisms.
- Practical experience with Python, SQL, and data visualization platforms like Power BI or Tableau.
- Familiarity with liquidity risk management concepts such as cash flow forecasting and regulatory compliance is advantageous.