TL;DR

Business Analyst (Asset Management): Identifying and resolving data quality issues, defining business requirements, and driving process improvements within Client Coverage. Focus on designing and implementing automated workflows, developing business intelligence dashboards, and managing end-to-end analytics projects.

Location: Kraków or Wroclaw, Poland

Company

%hirify_global% is a global wealth manager and universal bank headquartered in Zurich, Switzerland, providing asset management and investment banking capabilities.

What you will do

Identify and resolve data quality issues across Client Coverage's core data architecture, developing controls for ongoing data integrity.
Define and document business and technical requirements for reporting, analytics, and process improvement initiatives.
Redesign and streamline business processes, implementing automated workflows and tools using Python, SQL, and Power BI.
Develop business intelligence dashboards and reports across various data domains for internal and external use.
Manage the end-to-end lifecycle of high-quality analytics projects while balancing competing priorities.
Collaborate with cross-functional teams to align solutions with business objectives and identify/mitigate potential risks.

Requirements

Proficiency in combining tools like SQL Server Management Studio and Power BI along with SQL and Python to create robust data pipelines.
Familiarity with common ETL and data modeling patterns.
Strong understanding of Asset Management business models and ability to connect technical solutions to strategic objectives.
Passion for data and maintaining its accuracy, quality, and governance.
Ability to distill technical concepts into clear, actionable verbiage for non-technical audiences.
Ability to thrive in fast-paced, multi-dimensional environments and take ownership of specific project tasks.

Culture & Benefits

Emphasis on collaboration and valuing diverse skills, experiences, and backgrounds.
Supportive team environment with opportunities for growth and flexible working options when possible.
Inclusive culture that brings out the best in employees.
Leveraging artificial intelligence (AI) to work smarter and more efficiently.
Commitment to disability inclusion and providing reasonable accommodation/adjustments throughout the recruitment process.