Data Analytics Project Engineer

Data Analytics Project Engineer

Step into the future of fintech with us!

We’re not just a company; we’re a dynamic team of innovators pushing the boundaries of what’s possible. We're on the lookout for passionate, forward-thinking Project Engineer - Data Analytics to join us on this exciting journey!

Who We Are
At Token Financial Technologies, we lead Turkey’s fintech revolution, empowering over 800,000 users and handling nearly 4 million transactions daily. Our flagship solutions, Ödero and TokenFlex, redefine payment systems and corporate benefits with cutting-edge technology. As part of Koç Holding and partnering with Beko, we’re a team of innovators dedicated to driving progress and making a real impact in the financial world.

What You’ll Be Rocking

• Be eager to learn and grow in the field of data analytics with guidance from our experienced data professionals.
• Collaborate with other departments to build data-driven solutions that help our company make informed decisions.
• Focus on developing projects that align with both our business goals and technical requirements.
• Adapt and thrive in an agile environment, applying your data analytics expertise to improve our project agility and responsiveness.
• Learn and adapt to the latest data analytics tools and technologies, including BI tools like Power BI and cloud services such as Azure.
• Effectively manage your time to deliver results within set timelines, ensuring your contributions are high-quality and reliable.
• Contribute to the design and implementation of data-driven strategies and predictive models, ensuring seamless integration with our BI systems.
• Provide insightful analysis and clear, actionable reports that combine data insights with business intelligence to empower stakeholders to make informed decisions.
• Advocate for data literacy across the organization, simplifying data concepts for non-technical team members to foster cross-departmental collaboration.

The Perfect Fit

• Bachelor's Degree in Computer Engineering, Industrial Engineering, or related quantitative departments
• Having experience in Data Analytics and Business Intelligence would be advantageous
• Familiarity with Power BI or other similar BI tools (e.g., Tableau, Google Data Studio) is preferred.
• Proficiency in Excel, including pivot tables and formulas, is highly valued.
• Basic knowledge of SQL for querying data from databases is an advantage.
• Strong attention to detail, with the ability to spot patterns and anomalies in data.
• Strong analytical thinking and a keen interest in working with data to create reports and dashboards.
• Eagerness to learn and apply foundational data analysis techniques to support business decision-making.
• Strong communication skills to present findings clearly to both technical and non-technical stakeholders.
• Strong knowledge of Microsoft Office Programs
• Excellent command of oral and written English
• Curious by nature and loves to experiment
• Flexible and open to new perspectives
• A great team player with a self initiative mindset