Data Quality Business Analyst (Finance), Senior Associate

About the job

The Finance Data and AI Office (DART) is responsible for providing high quality data products and data services to stakeholders in Finance, Risk and Treasury. This role directly supports the Risk, Finance and Treasury Data Repositories and data related projects in the financial services domain including regulatory requirements and Finance transformation. This role supports our commitment to maintaining strong financial controls, meeting regulatory expectations, and enabling the business with reliable, trusted data. This position provides an excellent opportunity to interact with different business areas within the bank: from front to back office.

Who are we looking for?

We are looking for a detail-oriented and data-focused analyst with a strong analytical mindset and interest in financial data. This is a hands-on role for someone who is comfortable working directly with data, investigating issues, and supporting data quality processes.

The ideal candidate is proactive, willing to learn, and able to work in a control-driven environment, while gradually building capability in process improvement and automation, including exposure to AI-supported tools.

Your new role:

As part of the DART Data Operations team, you will support the delivery of high-quality data for regulatory reporting by analysing datasets, investigating data quality issues, and assisting in remediation activities.

You will work closely with more senior team members, as well as business and technology partners, to understand data issues, resolve discrepancies, and improve data quality processes.

The role also provides opportunities to contribute to process improvements and automation initiatives, with increasing exposure to modern tools and AI-supported approaches over time.

Due to the cyclical nature of regulatory reporting, there may be periods of increased workload around key deadlines, requiring flexibility and team collaboration to ensure timely delivery.

As Officer Data Quality Business Analyst you will be responsible for:

Key Responsibilities

Analyse datasets to identify and support investigation of data quality issues

Assist in investigating breaks, exceptions, and reconciliation differences

Support reconciliations, root cause analysis, and issue resolution activities

Execute and monitor data quality checks and controls

Support tracking and remediation of data quality issues with guidance from senior team members

Assist in performing and validating manual adjustments, ensuring accuracy and control

Contribute to the delivery of accurate, complete, and timely data for regulatory reporting

Maintain and update documentation (e.g., SOPs, data definitions, control descriptions)

Support process improvement and standardisation initiatives

Assist in implementation of automation solutions (e.g., Alteryx, Power BI, workflow tools)

AI & Automation exposure:

Support identification of opportunities to reduce manual work through automation

Use AI-assisted tools to support data analysis and documentation where applicable

Develop understanding of how AI can be applied in data quality and reconciliation processes

Validate outputs with guidance to ensure accuracy and consistency

Provide regular updates on assigned tasks and escalate issues as needed

Skills and experience needed:

3–5 years of experience in data analysis, data quality, or data operations

Basic to intermediate experience working with data (SQL, Excel, reconciliations)

Understanding of data quality concepts and controls

Interest in Finance, Risk, or regulatory reporting processes

Experience with tools such as:

SQL (basic/intermediate)

Excel (advanced preferred)

Exposure to Alteryx / Power BI / Tableau is a plus

Strong attention to detail and analytical thinking

Willingness to learn and develop in a data-focused role

Ability to follow structured processes and work within control frameworks

Good communication skills and ability to work in a team environment

Fluent English

Nice to have:

Collibra Data Intelligence platform

Collibra Data Quality platform

Appian

Workiva

Snowflake

Microsoft Fabric

MS Power App

MS Power Automate

MS Copilot

Databricks

Minimum Salary: ​

zł87,000 Annual

The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​

Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​

In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​

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We Offer: ​

Permanent contract from day one​

Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​

Gold Medical Package for employees and their families (partner and children)​

Premium life insurance package and private pension plan​

Wide range of soft skills training, technical workshops, language classes and development programs​

Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​

Variety of well-being programs​

Additional benefits available depending on the seniority of the role

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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