Okay, I've searched for Data Quality Specialist roles in the United States within the Asset Management and Capital Markets industry, for full-time positions, requiring 10-12 years of experience and strong SQL skills. I have found 42 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Quality Specialist role fundamentally aims to enhance data integrity within investment banking by identifying and resolving data quality issues. A key responsibility is collaborating with various practice area leads to pinpoint existing data quality discrepancies while recommending enhancements to current checks, reflecting a dual focus on analytical acumen and business understanding. Candidates can expect to leverage their technical proficiency in SQL and familiarity with data warehousing, particularly Snowflake, to conduct thorough data analyses that reveal patterns or anomalies influencing overall data quality. Success in this role is marked not only by technical problem-solving capabilities but also by effective cross-functional collaboration to align with business objectives, showcasing the importance of interpersonal and communication skills. Candidates should prepare to actively engage in continuous process improvements and demonstrate their ability to rationally evaluate complex data scenarios, ultimately guiding the organization toward strategic data quality governance.

Company Analysis:

Intellisoft Technologies, operating under the Jobs via Dice umbrella, is positioned within the competitive landscape of tech and consulting services. Given its focus on delivering technical staffing solutions, the company embodies an innovation-driven yet service-oriented culture, likely valuing a growth mindset among its employees. The Data Quality Specialist will play a pivotal role, sitting at the intersection where technology meets finance, highlighting the dynamic nature of work, particularly in fast-paced environments requiring attention to detail and urgency. As this position supports data integrity across various regions, it suggests a high level of visibility and expectation, both from leadership and clients alike. This role reflects an ongoing effort to enhance operational efficiencies, indicating that successful candidates will not only be adept at managing data quality but also contribute strategically to improving services within the capital markets domain, solidifying Intellisoft’s commitment to excellence in tech solutions. Hence, candidates should consider how their skills and values align with the larger mission of delivering quality data solutions in demanding environments.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you identified a significant data quality issue in a project. What steps did you take to address it?
• Can you describe your experience with SQL and give an example of a complex query you wrote to analyze data?
• Have you ever implemented new data quality checks? How did you determine what was necessary and what was the outcome?
• Discuss a challenging problem you faced while collaborating with cross-functional teams. How did you ensure effective communication?
• How would you approach enhancing existing data quality processes in a large organization? What factors would you consider?
• What methods do you use to stay current with data management tools and methodologies? How have you applied this knowledge in past roles?
• Imagine there’s a discrepancy in data reported from different regions. How would you go about identifying the root cause?
• If you were tasked with improving data integrity across multiple systems, what initial steps would you take to begin?
• Why are you interested in a role focused on data quality within the investment banking sector?
• How do your personal values align with our mission at Intellisoft Technologies, and how would that influence your work?
• What does data quality mean to you in the context of capital markets, and why is it essential?
• Can you walk us through how you’ve utilized tools like JIRA for defect management in previous projects?
• What specific experience do you have with cloud data warehousing solutions like Snowflake, and how have you used them in your previous work?
• What questions do you have for us about the team culture and expectations for this role?
• How might the company's focus on continuous learning impact your professional growth as a Data Quality Specialist?