R
AI Summary
Investigate and resolve operational data issues, diagnose system and data flow problems, and design, develop, and enhance ETL pipelines. Collaborate with cross-functional teams to translate business needs into technical solutions. Strong hands-on experience with SQL and proficiency in Python or another scripting/programming language required.
Key Highlights
Investigate and resolve operational data issues
Diagnose system and data flow problems
Design, develop, and enhance ETL pipelines
Key Responsibilities
Investigate and resolve operational data issues
Diagnose system and data flow problems
Design, develop, and enhance ETL pipelines
Collaborate with cross-functional teams
Maintain clear documentation of data workflows, mappings, and system logic
Technical Skills Required
Benefits & Perks
Basic relocation package
Competitive compensation aligned with market standards
Long-term career development within a growing data and technology function
Job Description
Data Operations Analyst / Business Analyst
Sofia, Bulgaria
Workster
Basic relocation package
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About Workster
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Position
Your Role
- Investigate and resolve operational data issues, including reconciliation discrepancies and reference data mismatches
- Diagnose system and data flow problems by analyzing logs, datasets, and upstream/downstream dependencies
- Design, develop, and enhance ETL pipelines integrating internal and external data into the firm’s data warehouse
- Build and maintain SQL queries, transformation logic, data mappings, and business rules
- Develop data validation routines, automated scripts, and monitoring frameworks to ensure accuracy and timeliness
- Support testing, migration, and deployment of new data feeds and system enhancements
- Integrate data from APIs, databases, SFTP sources, flat files, and third-party systems
- Collaborate with Operations, Finance, Risk, Compliance, and Technology teams to translate business needs into technical solutions
- Maintain clear documentation of data workflows, mappings, and system logic
Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- Strong hands-on experience with SQL, including writing and optimizing complex queries (BigQuery is a plus)
- Proficiency in Python or another scripting/programming language
- Experience working with large datasets and multi-source data integration
- Basic understanding of financial products such as Equities, Fixed Income, and Derivatives within an investment operations environment
- Strong analytical and troubleshooting skills
- Experience working on cross-functional projects in dynamic, fast-paced settings
- Highly organized, detail-oriented, and proactive
- Excellent communication skills and strong documentation practices
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Opportunity to work at the core of a sophisticated investment platform
- High exposure to trading, risk, operations, and technology teams
- Hands-on role with meaningful impact on data infrastructure and process optimization
- Collaborative, performance-driven environment
- Competitive compensation aligned with market standards
- Long-term career development within a growing data and technology function
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