Analyst Data Solutions

What You Will Do

As an Analyst Data Solutions you will contribute to Nasdaqs Audit Factory and data quality initiatives across Public and Private Markets datasets. Working from established business requirements governance frameworks and monitoring needs you will design build test and maintain technical audit solutions that help monitor data quality across our platforms.

In this role you will help transform audit requirements and business rules into scalable audit logic using SQL AI-enabled capabilities and other analytical tools. Success in this role requires strong problem-solving skills technical curiosity and the ability to understand how data is connected across systems processes and products.

We are looking for someone who is naturally curious embraces change enjoys learning new technologies and approaches and sees new challenges as opportunities for improvement. At the same time you are someone who takes ownership of your work follows through on commitments and consistently delivers high-quality results.

• Translate audit requirements governance frameworks business rules and data quality needs into technical audit logic and monitoring solutions.

• Design build test and maintain SQL-based audits and analytical controls across Nasdaq datasets.

• Develop and enhance audit frameworks using SQL AI-enabled capabilities and other analytical tools.

• Support the expansion of audit coverage across Private Markets Market Lens Core Data Hedge Funds and other datasets.

• Build and maintain Power BI dashboards reporting tools and supporting documentation related to audit programs.

• Understand how data is connected across systems products workflows and datasets to develop effective monitoring solutions.

• Investigate data issues and recommend improvements to audit logic controls and business rules.

• Contribute to the standardization of audit development methodologies documentation standards and maintenance processes.

• Support automation initiatives and AI-assisted solutions that improve audit coverage quality control and operational efficiency.

What We Expect

• Bachelors degree in Finance Economics Accounting Mathematics Statistics Data Science Computer Science or a related field.

• 2-3 years of experience in data analysis financial services operations technology or a related field.

• Strong SQL proficiency including joins data validation audit logic and troubleshooting.

• Experience supporting reporting analytics data quality activities business rules or process improvement initiatives.

• Experience developing Power BI dashboards or similar reporting solutions.

• Strong problem-solving skills and curiosity to understand data issues and their root causes.

• Ability to understand business requirements and translate them into technical solutions.

• Comfortable working in an evolving environment and adapting to new technologies tools and methodologies.

• Strong sense of ownership accountability and attention to detail.

• Strong communication skills.