Data Engineer/Data Analyst – Internal Audit
Vilnius
Internal Audit is an independent assurance function within Nasdaq. Our mission is to enhance and protect organizational value by providing risk-based and objective assurance, advice and insight. We provide coverage for all Nasdaq businesses around the world, and report directly to the Audit and Risk Committee of the company's Board of Directors.
Internal Audit is an independent assurance function within Nasdaq. Our mission is to enhance and protect organizational value by providing risk-based and objective assurance, advice and insight. We provide coverage for all Nasdaq businesses around the world, and report directly to the Audit and Risk Committee of the company's Board of Directors.
Now we are looking for a "data wizard" who can take our audit data warehouse to the next level, and support our auditors with acquiring, structuring and handling source data for analysis.
What you will do:
- Develop and maintain our custom-built audit data warehouse, including integrations to automation and analysis software used by the audit team.
- Collaborate with auditors and business stakeholders to identify data for consumption and analysis.
- Build data models based on source data structures.
- Find opportunities to aggregate, enrich and correlate data from various sources for insights.
You will also have the opportunity to:
- Support auditors with writing relevant audit observations and business recommendations, and support businesses in developing action plans.
- Work with data analytics tools as part of internal audit engagements, including validating data quality and accuracy.
- Contribute to developing and improving our audit automation efforts.
What we expect:
- Genuine curiosity for business and IT data in many shapes and forms.
- Bachelor's degree in a relevant field, e.g. mathematics, statistics, computer science, information technology, or finance.
- A few years of experience related to:
- data engineering, i.e. building and maintaining systems for data acquisition, ETL, and preparation;
- data analysis, i.e. acquiring, normalizing, aggregating and correlating data from multiple sources.
- "Full stack" software development experience:
- frontend, including Python / Flask / Jinja, HTML, CSS, and JavaScript;
- backend, including SQL, PowerShell, .NET, and Bash;
- Web/REST API.
- A "quality and security first" mindset since Nasdaq is subject to many laws and regulations.
- Excellent communication skills in English, both verbally and in written form.
It would be great if you also have experience with:
- Internal auditing or other assurance activities (including software quality assurance).
- The financial sector or otherwise regulated fields.
- Agile software development.
What will it be working here?
Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge the status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported, and empowered. We are a Hybrid-First work environment that embraces work-life balance and fosters well-being.
What do we offer you?
- Nasdaq's Flex Day program (6 paid leave days a year).
- Additional paid leave days after 2 years of working at Nasdaq.
- Internal Mentorship programs - learn from an employee you look up to.
- Wide selection of online learning resources: Udemy, O’Reilly, etc.
- Flexible Health Insurance program from the first day.
- III pillar pension plan with additional contribution from Nasdaq.
- Employee Stock Purchase Program Nasdaq stocks with a discount.
This is a full-time permanent position located in Vilnius. Follow the link to apply, and the Talent Acquisition team will be in touch. Please note that applicants must be eligible to work in Lithuania and applications must be in English.
Monthly salary (Gross): 3800-4500 Eur (final salary will depend on candidate knowledge and experience), other bonuses apply.
What we expect
- Genuine curiosity for business and IT data in many shapes and forms
- Bachelor's degree in a relevant field, e.g. mathematics, statistics, computer science, information technology, or finance
- 3+ years of experience related to
- data engineering, i.e. building and maintaining systems for data acquisition, ETL, and preparation, and/or
- data analysis, i.e. acquiring, normalizing, aggregating and correlating data from multiple sources
- "Full stack" software development experience
- frontend, including Python / Flask / Jinja, HTML, CSS, and JavaScript
- backend, including SQL, Powershell, .NET, and Bash
- Web/REST API
- A "quality and security first" mindset since Nasdaq is subject to many laws and regulations
- Advanced English language skills, both verbally and in written form
It would be great if you also have experience with
- internal auditing or other assurance activities (including software quality assurance)
- the financial sector or otherwise regulated fields
- agile software development
What we offer:
We are committed to building a diverse and inclusive workforce to power innovative ideas vital for our business and our clients.
You can expect a collaborative, fast-paced, and constantly evolving work environment where you are recognized for your results and ability to drive things forward.
Does it sound like you? Apply to join us on our mission to build a world class team!
This is a full-time position located in Vilnius, Lithuania. As the process is ongoing, please submit your application in English as soon as possible.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Tags: Agile APIs Computer Science Data analysis Data Analytics Data quality Data warehouse Engineering ETL Finance Flask JavaScript Mathematics Python REST API Security SQL Statistics
Perks/benefits: Career development Flex hours Health care Insurance Team events
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