Data Analyst, Investment Management Solution at DataArt
Здається, ви трохи запізнились
Скоріше за все, ця вакансія закрита, бо вже зробила чиїсь понеділки щасливими.
Але не засмучуйтесь — у нас є що вам запропонувати!
Подивіться інші відкриті можливості на сайті.
Our client is one of the world’s top 10 investment companies with headquarters in Great Britain. During the next 5 years, they are going to replace 150 systems from the 400 they use at the moment. In addition, they are building a data marketplace that will aggregate and analyze data from multiple data feeds and systems like stock exchanges, news feeds, stock exchange brokers, internal quantitative systems, and others.
The successful candidate will be involved into work within cross functional teams to support developers in designing and building of new Data Products and Solutions.
As a Data Analyst, you will be responsible for managing data queries from the business, capturing and communication salient details and working with the data workstream and engineering to resolved them or implement improvements.
We offer a $1,000 Sign-on bonus to the specialist that will accept our offer and join DataArt in this position.
Responsibilities
- Performing a gap analysis for the implementation of automatic checks
- Providing software developers with fully clarified epics and stories
- Preparation of data mappings between systems
- Developing and describing ETL processes for data analysis
- Analyzing database schemas and scripts
- Сoordinating APIs between systems, think over the automation process
Requirements
- Asset Management domain experience or CFA certification
- Ability to set tasks for developers
- 3+ years of experience working in projects with large volumes of data and different data formats
- Experience with data schema design and data modelling, data mappings
- Experience with API investigation
- Experience with SQL
- Experience with data modeling
- Ability to parse XMLs, XSD formats
- Experience in data warehousing/dimension modelling, reporting and business intelligence
- Excellent analytical and problem-solving skills
- Spoken English
Nice to have
- Experience with Tableau
- Background in data engineering projects
- Developer background
Дякуємо!
Тепер редактори знають.