Global Research / Data Engineering & Analytics – Analyst
Global Research / Data Engineering & Analytics – Analyst
We are looking for a dynamic, energetic individual with strong attention to detail and multi-tasking ability to be part of Research Modernization team.
Job Summary
As a Global Research / Data Engineering & Analytics – Analyst within our team, you will be dynamic, energetic individual with strong attention to detail and multi-tasking ability to be part of Research Modernization team. As a successful candidate you will be highly organized, proactive and flexible; possess keen attention to detail, have strong communication skills and an acute sense of urgency.
Job Responsibilities
- Work with Research Analysts to understand their data needs, explore public, 3rd party and alternative datasets and translate into data/information solutions and data products
- Build, deploy and maintain web crawlers at scale that capture publicly available datasets
- Create, productionize and store enhanced and original data sets; improve data analysis and discovery tools; model the data with focus on ease of storage, retrieval and usability
- Partner with Research Analysts, Data Analysts and Technology team to build an industry leading Data Platform for the use of research analysts as well as internal and external clients
- Coordinate product development in partnership with internal Data Science and Technology teams
- Provide a strategy and framework for data acquisition, data wrangling, data usage and data management activities.
- Identify opportunities for process improvement and develop policies for data access and governance
- Automate publication and analytics workflows for publications by Research Analysts
- Research and analyze datasets using a variety of analytical techniques on tableau, python, excel, etc.
Required qualifications, capabilities and skills
- 1 or more years of experience across Data Analysis, Automation, and Web crawling using Python and BI tools.
- Strong knowledge of Python and relevant packages for data handling and manipulation. It is essential that candidate has hands-on experience in Python programming. Any experience of using web scraping libraries like bs4 will be a plus.
- Understanding of SQL, Selenium, Tableau and Excel
- Strong analytical and problem solving skills.
- Strong background in Data structures, Algorithms, Data engineering with experience in multiple Data/Technology platforms
- Bachelor`s Degree in engineering in computer science or information technology, other Data Science/Analytics fields
- Excellent communication, presentation, interpersonal and organizational skills
- Detail oriented, with a highly disciplined approach to process and controls
Preferred Skills, Experience, and Qualifications
- Demonstrable interest in finance and investment research
- Prior experience with low-code/ citizen developer tools like Alteryx, UiPath
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