Quality Assurance Analyst

QA Analyst with Salesforce Experience

Position Overview:

The Quality Analyst (QA) will play a crucial role in ensuring the quality and reliability of our Data & Integration systems. This role involves developing and executing test plans, identifying bugs, and collaborating with cross-functional teams to improve processes. The ideal candidate should have a strong background in quality assurance practices, excellent problem-solving skills, and a passion for delivering high-quality solutions.

Key Responsibilities:
• Develop, execute, and maintain comprehensive test plans covering various scenarios.
• Identify, document, and track defects or inconsistencies accurately.
• Conduct root cause analysis (RCA) to understand issues and prevent recurrence.
• Perform data analysis and validation to ensure data quality and consistency across different Data Integration platforms using SQL and SOQL.
• Ensure data integrity within Salesforce and correct integration with other platforms.
• Collaborate with cross-functional teams, including developers, product managers, and business stakeholders, to uphold quality standards.
• Implement and support reporting and analytics infrastructure for internal business customers using data integration services (e.g., Kafka, MuleSoft, Salesforce).
• Guide internal customers in developing, troubleshooting, and optimizing complex SQL solutions.
• Identify opportunities to enhance testing processes, improve efficiency, and implement new strategies or tools to strengthen quality assurance efforts.
• Lead small to medium projects and support complex initiatives within a team environment.
• Analyze and review potential adjustments or modifications for impacts on other programs.

Highly Desired Skills (Critical to Success):
• Salesforce Experience (2-3 years): Proficient in creating custom queries using SOQL, integrating data with external systems, and understanding Salesforce objects, data structure, and data management best practices.
• Data & Integration Platforms (3-4 years): Strong knowledge of internal operational data stores, database architecture, and relational/non-relational concepts (e.g., SQL Server, MongoDB, Snowflake).
• Defect Identification & Root Cause Analysis (RCA): Expertise in identifying bugs and conducting thorough root cause analysis to prevent future issues.

Desired Skills:
• Reporting and Analytics: Experience with data integration services like Kafka, MuleSoft, and Salesforce to support reporting and analytics infrastructure.
• Test Planning and Execution: Proficient in designing comprehensive test plans and executing systematic tests with accurate documentation of results.
• Data Analysis & Validation: Strong capabilities in data validation and ensuring data consistency across platforms.
• Process Improvement: Ability to identify and implement process improvements for efficiency and quality enhancement.
• Collaboration: Strong teamwork skills with the ability to work effectively with technical and non-technical stakeholders.
• Analytical Skills: Excellent analytical and troubleshooting abilities to resolve data integration challenges.
• Communication: Strong verbal and written communication skills.
• Industry Experience: Preferred experience with life and annuity business applications.
• Project Management: Ability to lead and support projects of varying complexity.
• Impact Analysis: Skilled in analyzing potential adjustments for broader program impacts.

Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or related field preferred.
• 3-4 years of experience in quality assurance with a focus on data & integration platforms.
• 2-3 years of hands-on Salesforce experience.
• Proficient in SQL, SOQL, and other database query languages.
• Familiarity with data integration processes and tools is required.