Analyze current data conversion pipelines to identify discrepancies, gaps, or mapping errors when transforming raw exchange feeds into internal software schemas.
Apply critical thinking to design robust, deterministic data models that guarantee absolute accuracy during multi-asset normalization, preventing false positives in downstream alert logic.
Author and maintain functional specifications, data requirements, user stories, and acceptance criteria for Trade Surveillance data integration across equities, fixed income, and derivatives asset classes.
Manage the full requirements lifecycle - from intake and analysis through documentation, development handoff, QA validation, and release - ensuring traceability at each stage.
Investigate and define resolution paths for critical production issues and enhancement requests, coordinating with development and QA teams to deliver timely, well-documented solutions.
Required Qualifications
Bachelor's degree in Finance, Computer Science, Information Systems, or a related field - or equivalent practical experience.
5+ years of experience in a data analyst role, preferrably within capital markets, fintech, or a regulated trading environment.
Hands-on experience with market data structures, trading protocols, order lifecycle workflows, and exchange connectivity rules across one or more asset classes.
Proficiency in producing structured functional documentation - including data flow diagrams, functional specs, process maps, and traceability matrices.
Experience working within Agile frameworks (Scrum or Kanban), with direct collaboration with engineering, QA, and data teams on iterative delivery cycles.
Requirements
Experience integrating or mapping data from trading platforms, market data vendors, or exchange feeds into downstream systems.
Familiarity with data query tools (e.g., SQL) or structured data formats used in financial systems.
This position is based in Vilnius, Lithuania and offers a hybrid work environment with at least 3 days per week in-office, subject to change.
Benefits & Rewards
We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable).
The base pay for this role is 3600 EUR - 4600 EUR. The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable.
We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range you see reflects the full salary band for this job level, including room for progression over time.
For more information, visit Nasdaq Benefits & Rewards Career Page .
Individuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations.
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Benefits
Equity / stock optionsPerformance bonus
Additional Information
As a Product Data Analyst , you'll play a critical role in shaping how data is integrated, structured, and delivered across Nasdaq's Trade Surveillance platform - a globally deployed compliance solution supporting trading firms, exchanges, and regulators across multiple asset classes.
You'll thrive in this role if you bring deep knowledge of market data, trading protocols, and product delivery, and if you're energized by translating complex technical requirements into scalable, client-ready solutions.
Nasdaq · Vilnius, Lithuania