Data Analyst at Trendyol shaping the future of financial technology by providing analytical solutions. Defining success metrics, translating data into actionable insights, and driving KPI improvements.
Responsibilities
A data analyst defines success metrics and provides analytical solutions for complex product-related questions such as behavioral segmentation, feature usage, UX performance and funnel analysis. They build and maintain dashboards, develop data models to track product performance, and conduct A/B test analyses to drive KPI improvements. Their role also includes translating data into actionable insights, supporting business teams with ad-hoc analyses and aligning reporting efforts with company strategy.
Take initiative to drive business value by identifying untapped growth potential and operational inefficiencies.
Serve as a proactive analytical partner to the business, delivering rapid, high-impact insights through dashboards, funnel analytics, root-cause analysis, and ad-hoc reporting.
Develop intuitive, actionable BI dashboards that measures business health, empowering stakeholders to measure performance and make data-informed decisions.
Empower non-technical users for self-service analytics by setting up the right infrastructure with the right tools.
Design and standardize segmentations to ensure a consistent customer view across the company.
Employ ML-based causal inference techniques to move beyond simple correlation, explaining the root causes of business events and predicting the impact of potential interventions.
Work closely with the Data Science team to optimize models through diagnostic analysis, feature engineering, and iterative feedback loops.
Requirements
University degree preferably in Engineering, MIS, Management, Statistics.
Minimum 2-year experience in data analytics, business intelligence or a similar role.
Experience in Retail industries, Retail Banking, Fintech, Payments specifically within Credit Risk Analytics or Growth Analytics, is highly preferred.
Strong background in data analysis and defining KPIs that align with business objectives, analyzing performance trends, and uncovering actionable growth opportunities.
Advanced proficiency in SQL combined with a solid foundation in mathematics and statistics. Experience with Python or R is a plus.
Proficiency in BI tools is preferred. Specific experience as a BI Developer using Qlik (Qlik Sense/QlikView) is strongly preferred. Experience with Looker, Tableau, or Data Studio is also valuable.
Experience analyzing large-scale clickstream data to understand user behavior.
A growth mindset with a self-starter, proactive attitude and sense of urgency.
A creative problem solver who thrives in ambiguity and is excited to collaborate across different functions within a fast-paced environment.
Strong communication skills and an ability to break down complex information into digestible insights.
Excited to work with different functions within the company, creative problem solver who thrives with ambiguity.
Develop custom data models and algorithms to apply to data sets.
Excellent written and verbal communication skills in English.
Benefits
Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.
Senior Credit Analytics Manager using SQL and Python/R to build predictive models for credit strategies. Collaborating with cross - functional teams to improve financial inclusion across Africa.
Data Analyst responsible for research, standardization, and forecasting of demographic and macro - economic data. Collaborating with sales and marketing teams to meet client needs and deadlines.
IT Data Analyst analyzing and visualizing large datasets for decision - making in food production. Collaborating with departments and improving BI tools to support insights and performance metrics.
Data Analyst at Capgemini providing insights and recommendations to stakeholders. Leveraging data analysis to support decision making and drive business growth.
Data and Analytics Manager for Lagardère Travel Retail in Frankfurt am Main. Leading data optimization and analytics efforts within various operational contexts.
Senior Credit Quantitative Analyst at Old Mutual optimizing credit origination and risk strategies while collaborating with cross - functional teams. Leading analysis to support profitable lending products and compliance.
Reporting and Analytics Analyst responsible for data exploration and ad hoc reporting at Equinix. Collaborating with clients and auditing data for accuracy in a hybrid role.
Marketing Data Analyst at Octopus Energy utilizing data to drive marketing decisions. Contributing to an energy transition through data - driven insights and automation.
Product Data Analyst in VeepeeTech's Data Analytics team. Analyzing product performance to enhance user experience and conversion in e - commerce environment.