Data Quality Analysts
Purple Hires
Boston, United States of America
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, French Experience level
Senior Compensation
$ 114KJob location
Boston, United States of America
Tech stack
Microsoft Excel
Agile Methodologies
Data analysis
Business Systems
Data Validation
Data Integrity
ETL
Data Visualization
Standard Sql
SQL Databases
Performance Testing
Snowflake
Atlassian Tools
Data Management
Gsuite
Job description
- Perform comprehensive data quality checks and propose enhancements to existing processes
- Analyze and solve complex problems related to data quality in the Investment Banking domain
- Collaborate with cross-functional teams to ensure data integrity across various systems
- Support Business System Analysis, Project Management, and Quality Assurance initiatives
- Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations
- Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
- Engage in extended testing areas, including End to End Performance Testing
- Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
- Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
- Perform Data Quality Assessments and audits to evaluate data quality
- Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
- Maintain detailed documentation of data quality processes and standards
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Requirements
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization., * Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
- Proficient in SQL, ETL and various data analysis tools
- Well-versed in Charles River IMS (CRD) and its functionalities
- Excellent analytical and problem-solving skills
- Experienced in quality assurance life cycles and testing methodologies
- Effective communicator, capable of engaging with both technical and non-technical stakeholders
- Detail-oriented, skilled in identifying and correcting data discrepancies and errors
- Strong analytical skills for examining data and recognizing patterns or issues
- Familiarity with Agile methodology and Atlassian tools is advantageous
- Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
- Knowledge in snowflake
- Problem-solving skills to devise solutions for enhancing data quality
- Excellent verbal and written communication abilities for collaborating with team members and stakeholders
- Self-motivated and proactive in identifying and resolving data quality issues
- Strong organizational skills and attention to detail
- Ability to work independently and as part of a team
- Eager to learn and adapt to new technologies and methodologies