Data Science - Business Analyst (İstanbul-Ankara-İzmir)
Istanbul (All)
Trendyol
Mode online shoppen bei Trendyol. Immer die neuesten Trends für jeden Anlass & kostenlose Retouren.Tech at the rootWe believe that technology is the driver and e-commerce is the outcome. Thanks to the dedication of our team, we have become one of the top 5 e-commerce companies in EMEA and one of the fastest growing worldwide. We currently deliver over 1.5 million parcels daily to 27 countries.
Growth is in our DNAAs a young and dynamic company, we are constantly growing and expanding. With Trendyol Tech, one of the leading R&D centres, Trendyol Express, the fastest growing delivery network, Dolap, the largest platform for second-hand goods, and Trendyol Go, our instant food and grocery delivery service, we are gearing up to become the world's leading e-commerce platform.
Focused on positive impactOur vision goes beyond business success. We strive to make a sustainable and positive impact on our customers, business partners, and society. By digitizing merchants and SMEs, helping businesses grow, and promoting women's economic empowerment, we are dedicated to creating a better future.
ABOUT THE TEAMIf you are a techie, you belong in our Technology Team that builds scalable, high-performance platforms for our customers using up-to-date and efficient technologies.
We are all working with the same purpose: To create a positive impact in our ecosystem by enabling commerce through technology.
YOUR MAIN RESPONSIBILITIES
- Increase the performance of homepage and show the right component to the right customer with the custom sorting algorithms.
- Work closely with data science homepage team. Follow-up the roadmap of data science projects.
- Conduct deep dive analysis and hypothesis-driven A/B tests to see how components, logics and rule based algorithms perform and to see if there is any improvement area
- Conduct ad-hoc analysis to improve data science projects by taking hypothesis from project managers and pro-actively generating questions.
- Partner with data science teams to define success metrics, create approaches to track the data, quantify and evaluate the data, then develop a common language for all colleagues to understand these KPIs.
- Communicating development requests to product teams and coordinating the process
- Prepare region based, domain based dashboards to show homepage performance when needed
QUALITIES WE ARE LOOKING FOR
- University degree preferably in Engineering, MIS, Management, Statistics
- 4 years experience in data analysis, project & product management
- Strong project management✗ team coordination/collaboration&communication skills and very strong follow up.
- Enjoys the challenge of simplifying complex data, processes, and concepts to highlight key insights and guide decision making
- Strong analytical skills and experience of working with large volumes of dataStrong knowledge of SQL, Python is a plus.
- Familiar with digital analytics visualization tools (Looker, Qlikview, Tableau etc.)
- Communication skills - Excited to work with different functions within company, creative problem solver who thrives with ambiguity
- Excellent written and verbal communication skills in English
We're looking forward to receiving your application!
We embrace a hybrid working model that seamlessly blends the best of both worlds—remote productivity and the collaborative energy of our vibrant offices. Every month, we gather at our offices once to work side by side, fostering in person communication and embracing the camaraderie that fuels our team spirit. These sessions are crucial for teamwork in solving complex issues, socializing, learning from each other, and experiencing our culture.
Each division has a pre-set optional office day each week. Based on our preferences, we come together at our offices at our discretion as an opportunity to feel more team spirit, immerse in our culture, and familiarize ourselves with our way of workings.
We offer the opportunity for a two-month full remote work program, allowing you to work from abroad, during the summer period (July to August).
This working model applies to our hybrid job postings; on-site roles require being based in an office work environment.
Discover more about our #LifeatTrendyol and our culture on our Website, LinkedIn and YouTube channels.
At Trendyol, we believe in the power of an inclusive workplace. We value diversity and believe that every team member contributes to our vibrant culture. Our platform is for everyone, and so is our workplace. We encourage the representation and amplification of diverse voices in our business, as it allows us all to thrive, contribute, and shape the future together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Data analysis E-commerce Engineering KPIs Looker Python QlikView R R&D SQL Statistics Tableau
Perks/benefits: Career development Startup environment Team events
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