Verified Job
Accounting - Finance
Data Analyst
Accounting - Finance
#204928
Remote / WFH
Job Description
Are you excited to work with Distribution Data Engineering and Analytics team with diverse backgrounds and talents Can you apply your technical skills to help organize and maintain large databases and business data Do you enjoy the challenge of building tools to support data analysis We re looking for a data engineer like that who can:
design, coordinate and implement Oracle/PostgreSQL database solutions for staging, processing, and supporting business analyses:
develop database solutions (views, procedures, packages, triggers, etc.) to support strategic data requirements,
write, maintain, and deploy all database objects such as SQL functions, views, procedures, packages and triggers,
understand and maintain data security requirements,
implement, maintain, and monitor data feeds from around the bank into Oracle or other data repositories,
develop python scripts to increase automation around our ETL
build self-service data reports for frequent requests using Alteryx,
build and maintain Tableau dashboards,
establish relationships with product owners to meet the operational and analytics needs of the organization:
translate business requirements into SQL or Python scripts and document these in plain English for business users,
collaborate across teams and locations, providing data to support their analysis and help define their data requirements,
produce ad-hoc queries and develop reports to support business needs,
display strong communication, interpersonal and ability to understand requirements from users with varying levels of technical knowledge coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.
Your team
You ll be working in the Global Market Sales Technology team in Pune focusing on creating the most data driven, agile, productive and technology enabled sales force in the industry.
,
You have:
a bachelor s degree with at least 5-10 years working as a database developer and/or data engineer
strong SQL skills (preferably SQL developer certified),
strong understanding of relational database design,
python skills,
an excellent verbal and written command of English with the ability to effectively communicate with different stakeholders,
excellent time management skills, ability to set priorities effectively,
ability to build stakeholder relationships with all levels and ranks of the UBS organization
strong analytical skills and willingness to keep up with industry, regulatory developments and learn new concepts and methods
work experience with Oracle and Postgres,
work experience with data preparation tools like Alteryx,
work experience with visualization tools like Tableau.
You are:
reliable when working independently, with sound judgment for when to escalate issues,
able to multi-task and handle multiple requests knowing when to escalate and communicate deadlines effectively,
able to quickly understand complex processes, identify risks and inadequacies in procedures, as well as propose practical and sustainable solutions
keen to develop your understanding of Investment Banking,
keen on a career path leading to a business analysis role or data scientist combining business knowledge with technical ability for data analysis,
keen on learning Cloud technologies like Azure
design, coordinate and implement Oracle/PostgreSQL database solutions for staging, processing, and supporting business analyses:
develop database solutions (views, procedures, packages, triggers, etc.) to support strategic data requirements,
write, maintain, and deploy all database objects such as SQL functions, views, procedures, packages and triggers,
understand and maintain data security requirements,
implement, maintain, and monitor data feeds from around the bank into Oracle or other data repositories,
develop python scripts to increase automation around our ETL
build self-service data reports for frequent requests using Alteryx,
build and maintain Tableau dashboards,
establish relationships with product owners to meet the operational and analytics needs of the organization:
translate business requirements into SQL or Python scripts and document these in plain English for business users,
collaborate across teams and locations, providing data to support their analysis and help define their data requirements,
produce ad-hoc queries and develop reports to support business needs,
display strong communication, interpersonal and ability to understand requirements from users with varying levels of technical knowledge coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.
Your team
You ll be working in the Global Market Sales Technology team in Pune focusing on creating the most data driven, agile, productive and technology enabled sales force in the industry.
,
You have:
a bachelor s degree with at least 5-10 years working as a database developer and/or data engineer
strong SQL skills (preferably SQL developer certified),
strong understanding of relational database design,
python skills,
an excellent verbal and written command of English with the ability to effectively communicate with different stakeholders,
excellent time management skills, ability to set priorities effectively,
ability to build stakeholder relationships with all levels and ranks of the UBS organization
strong analytical skills and willingness to keep up with industry, regulatory developments and learn new concepts and methods
work experience with Oracle and Postgres,
work experience with data preparation tools like Alteryx,
work experience with visualization tools like Tableau.
You are:
reliable when working independently, with sound judgment for when to escalate issues,
able to multi-task and handle multiple requests knowing when to escalate and communicate deadlines effectively,
able to quickly understand complex processes, identify risks and inadequacies in procedures, as well as propose practical and sustainable solutions
keen to develop your understanding of Investment Banking,
keen on a career path leading to a business analysis role or data scientist combining business knowledge with technical ability for data analysis,
keen on learning Cloud technologies like Azure
