Job Description

Senior Data Quality Specialist

Location: REMOTE (Need to be in CANADA)

No of positions 2

PayRate: $80-100/Hr. on C2C (Canadian Dollars)

Overview

We are in search of a highly skilled Senior Data Quality Specialist with 10 to 15 years of experience who combines business acumen with technical expertise. This position requires an analytical thinker capable of effective problem-solving, consulting with practice area leads, and enhancing data quality processes. The ideal candidate will review current data quality checks, propose new improvements, and support the Data Quality Lead in upholding high standards of data integrity.

Key Responsibilities

• Collaborate with practice area leads to identify data quality issues and develop effective solutions
• Review and evaluate current data quality checks to ensure they align with business requirements
• Identify opportunities for new data quality checks and enhancements to existing processes
• Assist the Data Quality Lead in implementing and monitoring data quality strategies
• Conduct thorough data analysis to identify trends, patterns, and anomalies that may impact data quality
• Maintain comprehensive documentation of data quality processes and generate reports for stakeholders
• Work closely with cross-functional teams to ensure data quality initiatives align with organizational goals
• Demonstrate the ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Collaborate across regions (APAC, EMEA, and NA) to effectively identify root causes of code/data issues and develop permanent solutions
• Proficient in data warehousing concepts and ETL tools
• Experience with Azure and Snowflake Testing is a plus. Strong SQL knowledge and debugging skills are essential
• Possess a good understanding of the financial domain and experience with JIRA defect management tools
• Perform comprehensive data quality checks and propose enhancements to existing processes
• Analyse 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

Required Skills

• Demonstrated experience in data quality management, data analysis, or related fields
• Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
• Familiarity with Agile methodology and Atlassian tools is advantageous
• Knowledge in snowflake
• Proficient in data management tools and technologies
• Strong analytical and problem-solving abilities with the capability to interpret complex data sets
• Excellent verbal and written communication skills for effective collaboration and reporting
• High attention to detail with a focus on accuracy and quality
• Enforce data quality best practices
• Work on data modelling according to project requirements
• Strong SQL knowledge and debugging skills are essential
• Knowledge in snowflake

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