Trendyol Go - Business Data Analyst

At Trendyol Go, a Business Data Analyst plays a critical role in driving data-informed decisions across various teams. You'll analyze complex datasets, develop actionable insights, and create dashboards that visualize performance metrics. This position involves significant collaboration with departments like operations and strategy, ensuring your analyses are not just statistics but key contributors to business improvements.

To thrive as a Business Data Analyst at Trendyol Go, candidates should possess a Bachelor's or Master's Degree in a quantitative field, alongside at least 3 years of experience in a data analyst role. A strong foundation in data-driven decision-making, proficiency in SQL, and familiarity with visualization tools such as Tableau or Power BI are also essential to succeed in this dynamic environment.

Applying for the Business Data Analyst position at Trendyol Go is a straightforward process. Interested candidates can visit our careers page, fill out the application form, and submit their CV. It’s important to highlight your relevant experience and skills related to data analysis to make your application stand out!

Trendyol Go promotes a culture of collaboration, flexibility, and innovation. Here, team members are encouraged to share their ideas, learn from each other, and grow together. The hybrid working model allows for a mix of remote work and in-office collaboration, fostering creativity and team spirit within our diverse workforce.

Absolutely! At Trendyol Go, we prioritize continuous learning and professional growth. You’ll have access to our extensive training platform, mentoring from experienced professionals, and opportunities to tackle real-world problems. We believe that investing in our team leads to a brighter future for everyone involved.

As a Business Data Analyst at Trendyol Go, you’ll be working with various tools and technologies, including SQL databases, Python for statistical analyses, and visualization software like Tableau or Power BI. This variety ensures you can employ the best methods and tools to extract insights and present your findings effectively.

Trendyol Go is dedicated to creating a positive impact in the local commerce ecosystem by connecting users with local merchants through technology. By digitizing operations and giving merchants the tools to succeed, we empower local businesses while enhancing customer experiences and promoting sustainable practices in our communities.

When answering this question, be sure to provide specific examples of the tools you've used, such as SQL for database management and Tableau for data visualization. Explain how these tools have helped you solve business problems, and share any projects that highlight your analytical abilities.

To effectively answer this question, discuss your process for breaking down complex problems into manageable components. Highlight how you use analytical techniques and data visualization to arrive at insightful conclusions. Convey a clear example from your past experiences where your data-driven approach led to impactful solutions.

In your response, emphasize the importance of data validation techniques, regular audits, and cross-referencing data from multiple sources to maintain accuracy. Share specific examples of processes or checks you've implemented in previous roles to ensure the reliability of your analyses.

Select a specific instance where you effectively communicated complex data findings to non-technical stakeholders. Discuss how you tailored your presentation style to suit the audience while using visual aids to enhance understanding. Share the outcome and how it influenced decision-making among stakeholders.

When discussing prioritization, detail the strategies you use, such as setting deadlines, assessing project urgency, and aligning tasks with team objectives. Provide an example of a busy period and how your organizational skills helped you deliver quality results on time.

Explain exploratory data analysis (EDA) as a method for analyzing datasets to summarize their main characteristics often using visual methods. Discuss how it has helped you gain insights into data trends or anomalies in past projects and how those insights guided your analytical processes.

Data visualization is pivotal in presenting complex data in understandable formats. Share examples of how you've used visualization tools to create impactful dashboards or reports that facilitated better understanding and decision-making among stakeholders in your previous roles.

Share your proactive approach to keeping up with trends within the data analysis field. Mention webinars, online courses, or professional journals you follow, emphasizing specific tools or methodologies you've recently learned about and how they could be applicable to your role.

When discussing improvements to an analytical model, detail your process for identifying the flaws, gathering data for evaluation, and testing alternative methods. Use an example to illustrate your problem-solving strategy and how the changes led to more accurate or relevant outputs.

Outline the key performance indicators (KPIs) relevant to e-commerce, such as conversion rates, customer acquisition costs, and order fulfillment rates. Explain how focusing on the right metrics guides business strategy and decision-making, and mention how you’ve used different metrics to identify areas for improvement in past roles.