Help clients transform their business by formulating data strategy, defining business and technology initiatives across the data management lifecycle, and aligning multi-year strategic roadmaps with client’s business goals.
Requirements
- 7+ years of relevant experience in analytics, business intelligence, data engineering, or related field
- 5+ years of demonstrated experience in building enterprise grade BI applications using tools such as: QlikSense, QlikView, Tableau or Looker
- Experience working in large data warehouse environments
- Experience in using of Oracle SQL tools for data analysis
- Candidates having strong experience in Data Mapping, Data Migration and system integration projects with knowledge of Wealth Management and related investment products.
Responsibilities
- Solve challenging problems using data science and advanced machine learning methods.
- Apply data science techniques to process and wrangle data in preparation for analysis; and analyse big data and perform exploratory analysis to uncover insights and identify innovative opportunities.
- Leverage machine learning techniques, to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem.
- Define approaches to embed and scale machine learning models with senior data scientist oversight
- Work on difficult engineering problems with scientists and business leaders with minimal engineering or data science backgrounds.
- Work with the data science team to build reusable assets, solutions and develop best practices for current and future business problems.
Other
- Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering, or equivalent experience
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
