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Data Analyst (Student Assistant)

icon building Company : Inpay
icon briefcase Job Type : Internship

Number of Applicants

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000+

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Job Description - Data Analyst (Student Assistant)

Do you want to work with data at a fintech powering cross-border payments across 100+ countries?
If you're someone who enjoys solving problems and turning questions into clear answers, we'd love to hear from you.
We're looking for a student assistant to join our growing Data & AI team in Copenhagen. You'll work closely with senior colleagues building and maintaining the data models and reports that help the business make better decisions.

What you'll do:

    • Partner with stakeholders across various functions to translate business questions into clear and actionable reports.
    • Build and maintain reusable data models that keep reporting accurate and reliable.
    • Document data models and metric definitions to improve consistency across reports.
    • Support colleagues across the company by answering their data-related questions, helping them interpret results, and resolving report issues.

What you bring (must have):

    • Solid SQL proficiency, with a good understanding of relational databases and core analytical concepts.
    • Familiarity with data visualisation tools such as Power BI, Tableau, or Looker.
    • Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.
    • Collaborative mindset and ability to work across teams while driving work independently.
    • Enrolled in a relevant degree programme (e.g., Data Science, Business Analytics, Computer Science, Finance, Business Administration, or similar).

Nice to have

    • Exposure to dbt, Airflow, or similar data transformation / pipeline tools.
    • Familiarity with cloud data platforms such as Snowflake, BigQuery, or similar.
    • Working knowledge of Python for analysis, scripting, and experimentation.

What we offer:

    • Hands-on experience with a modern data stack (dbt, Snowflake, Power BI)
    • Access to learning platforms and resources to grow your technical skills
    • Mentorship from senior data professionals, with opportunities to attend industry events
    • Flexible hours that fit around your studies, with a hybrid setup
    • Potential path to thesis collaboration or a full-time role
Do you want to meet the Data & AI Team and get a glimpse of life at Inpay? Visit our LinkedIn profile and sign up for our upcoming student event on 10 March.

At Inpay, our core values drive our success. We seek individuals who embody these values:
 
Customer First: Demonstrate professionalism, prioritize customer satisfaction, and deliver high-quality results.
Raise the Bar: Maintain a positive attitude, foster resilience and adaptability, and strive for continuous improvement.
Accountability: Take responsibility for tasks, show initiative in problem-solving, and meet commitments.
Fearless Innovation: Embrace a growth mindset, seek learning opportunities, and drive innovation.
Together We Can: Build positive relationships, collaborate effectively, and support team success.
Action: Be proactive, action-oriented, and committed to delivering results.
 
If these values resonate with you, we want to hear from you!
 
Ready to join? Inpay is a cross-border payments company, connecting businesses and communities to a global banking network that helps them thrive. Since 2008, we've helped financial institutions, iGaming operators, corporates, NGOs, and others move money to the right places quickly, easily, and securely.
Our smart technology, innovative products, robust compliance, and in-house experts from 45+ countries solve complex payment challenges with an industry-leading 99% transaction success rate. We are regulated by the Danish Financial Supervisory Authority.
 
Our headquarters are in the royal quarter of central Copenhagen, with further offices in London. You can see a snapshot of what working life looks like here. Find out more about Inpay here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Original job Data Analyst (Student Assistant) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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