Data Insights Specialist
1 month ago
Crediwire Copenhagen Full-time Opportunity
Salary: Competitive, estimated at approximately $120,000 - $150,000 per annum.
About the Role:
Credit is at the forefront of FinTech innovation, delivering cutting-edge financial solutions to Small and Medium-sized Enterprises (SMEs), banks, and auditors. Our goal is to provide unparalleled business insights that empower our clients to make informed decisions and drive operational efficiency.
Responsibilities:
- Data Validation and Analysis: As a Data Analyst at Crediwire, you will be responsible for ensuring the accuracy and quality of our data. This will involve continuous validation and analysis to guarantee the integrity of our analyses and products.
- Business Intelligence: You will conduct comprehensive data analyses to extract meaningful insights that inform business decisions and drive product development. Your findings will have a direct impact on shaping the future of our company.
- Product Development: You will play a key role in creating innovative data-driven products from concept to delivery. This will involve working closely with stakeholders to understand their needs and develop tailored solutions.
- User Experience Enhancement: By analyzing user data and generating actionable reports, you will contribute significantly to enhancing the overall user experience and optimizing our offerings.
- Infrastructure Development: Maintaining and developing our analytical data infrastructure is crucial to ensure that our systems remain robust and scalable as the business grows.
Requirements and Qualifications:
- Educational Background: We are looking for candidates with a Bachelor's or Master's degree in Data Science, Statistics, Economics, or a related field.
- Programming Skills: Proficiency in Python, SQL, and Linux scripting is essential. Experience with ETL (Extract, Transform, Load) and version control using Git is also highly desirable.
- Analytical Skills: Strong analytical skills with the ability to solve complex problems and work with large datasets are critical for this role.
We Encourage Applications
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