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Armut Teknoloji AS

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.
F4i3AhWe9n</div>

Data & AI Solutions Specialist

Armut

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.</div>

Crystal Intelligence

<div>Crystal is a globally distributed team of world-class blockchain analysts, award-winning mathematicians, and professional software developers with headquarters in London and Amsterdam. We design an all-in-one blockchain analytics solution for regulators, financial services, and law enforcement.
We are currently looking for a Data Analytics Intern to join our product development team, focusing on stablecoin insights and market intelligence.
As a Data Analytics Intern, you'll dive into the fascinating world of stablecoin and blockchain data analysis. You'll work closely with our product and marketing teams to uncover insights, identify trends, and help communicate what's happening in the stablecoin ecosystem. If you're passionate about cryptocurrency, love working with data, and want to build practical skills in blockchain analytics, this internship is the perfect starting point.
Duties &amp; Responsibilities:<ul>
<li>Analyze stablecoin and blockchain data to identify trends, patterns, and notable market movements.</li>
<li>Support the marketing team in creating data-driven reports and updates about the stablecoin landscape.</li>
<li>Build and maintain queries and dashboards using analytics platforms such as Dune Analytics.</li>
<li>Conduct research on stablecoin protocols, usage patterns, and emerging developments.</li>
<li>Collaborate with the product team to surface insights that inform product development.</li>
<li>Assist in creating compelling data visualizations and presentations for internal and external audiences.</li>
<li>Monitor on-chain metrics and highlight significant changes or anomalies.</li>
<li>Engage in ongoing training and development activities to deepen blockchain analytics expertise.</li>
</ul>
Requirements:<ul>
<li>
Currently enrolled in or recently completed a degree program related to Data Science, Computer Science, Economics, Finance, or a relevant field.</li>
<li>Genuine enthusiasm for cryptocurrency, blockchains, and the stablecoin ecosystem.</li>
<li>Beginner-level or higher SQL and/or Python skills for data analysis.</li>
<li>Experience using dashboarding tools such as Dune Analytics, Hex, or Tableau</li>
<li>Strong analytical mindset with attention to detail.</li>
<li>Excellent written communication skills for translating data insights into clear narratives.</li>
<li>Eagerness to learn and a proactive attitude toward tasks and challenges.</li>
<li>Adaptability and a willingness to take on new responsibilities in a fast-paced environment.</li>
<li>Commitment to the internship duration and interest in pursuing a career in blockchain analytics.</li>
</ul>
Strongly Preferred:<ul>
<li>
Active user of Dune Analytics with a portfolio of queries and dashboards you've built (not just viewed).</li>
<li>Prior experience analyzing blockchain or cryptocurrency data.</li>
<li>Familiarity with stablecoin protocols and DeFi ecosystems.</li>
<li>Understanding of on-chain metrics and blockchain data structures.</li></ul></div>

Data Analytics Intern - Stablecoin Insights (Remote)

Token Finansal Teknolojiler

<div>
 
 
 Step into the future of fintech with us!
 
 
 
 
 
 
 We&rsquo;re not just a company; we&rsquo;re a dynamic team of innovators pushing the boundaries of what&rsquo;s possible. We're on the lookout for passionate, forward-thinking Operations Specialist/Senior Specialist to join us on this exciting journey! Operations Specialist/Senior Specialist works cross-functionally to help businesses start using Token products as and quickly as possible.
 
 
 
 
 
 
 
 
 
 🔍Who We Are
 
 
 
 
 
 
 At Token Financial Technologies, we lead Turkey&rsquo;s fintech revolution, empowering over 800,000 users and handling nearly 4 million transactions daily. Our flagship solutions, &Ouml;dero and TokenFlex, redefine payment systems and corporate benefits with cutting-edge technology. As part of Ko&ccedil; Holding and partnering with Beko, we&rsquo;re a team of innovators dedicated to driving progress and making a real impact in the financial world. We are looking for Operations Specialist/ Senior Operations Specialist from a banking or e-commerce background to join our Operations and Customer Support Team.
 
 
 
 
 
 
 ✨ What You&rsquo;ll Be Rocking
 
 
 
 
 
 <ul>
 <li>
 Reporting to the Marketing and Corporate Relations Director of Token, develop and implement digital marketing strategies for Token&rsquo;s products and brands, ensuring alignment with each one&rsquo;s unique objectives.
 </li>
 <li>
 Preparing yearly digital marketing plan with the brand marketing leader.
 </li>
 <li>
 Working closely with the digital media agency to ensure that they implement the marketing plan in the best possible way, adhering to targets and schedules and monitoring performance.
 </li>
 <li>
 Content management, SEO marketing, and analytics monitoring of websites, together with relevant agencies.
 </li>
 </ul>
 
 
 
 
 
 
 
 🎯
 
 The Perfect Fit
 
 
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in digital marketing,
 </li>
 <li>
 A Bachelor&rsquo;s degree in Engineering, Economics, or Management is preferred,
 </li>
 <li>
 Proven experience in managing digital marketing campaigns. Fintech and/or digital agency experience is a plus,
 </li>
 <li>
 Proficiency in digital marketing tools and analytics platforms and a deep understanding of digital media. Strong knowledge of SEM/SEO, Google Analytics, social media marketing, email marketing, and other digital marketing channels and expertise in Conversion Rate Optimization (CRO),
 </li>
 <li>
 Creative problem-solving abilities,
 </li>
 <li>
 A Strong analytical mindset and experience with performance metrics and ROI analysis,
 </li>
 <li>
 Advanced level of English,
 </li>
 <li>
 Ability to collaborate effectively with internal teams,
 </li>
 <li>
 Strong follow-up skills.
 </li>
 <li>
 Continuously develop conversion rate optimization (CRO) strategies for websites and landing pages of each brand to maximize conversion rates and enhance user experiences.
 </li>
 <li>
 Plan,lead, and control PPC campaigns for various brands on platforms like Google Ads and social media(Meta, Linkedin), driving targeted traffic, conversions, and leads.
 </li>
 <li>
 Monitor and analyze key performance indicators (KPIs) for each brand's digital marketing efforts. Provide regular reports and insights to the management team.
 </li>
 <li>
 Efficiently allocate and manage digital marketing budgets for each brand, optimizing spend to achieve the best results.
 </li>
 <li>
 Stay updated on industry trends and competitor strategies for multiple markets and brands to identify opportunities and threats.
 </li>
 <li>
 Preparing monthly digital campaign reports for Token&rsquo;s products and brands.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ❤️ Why You&rsquo;ll Love Working Here
 
 
 
 
 
 
 
 
 
 12+4 Salary Package: Enjoy an additional 4 months' salary
 
 
 Learning Platforms: Gain access to top educational platforms including Ko&ccedil; Academy, Cambly, Coursera etc.
 
 
 Ko&ccedil; Office Free: Work flexibly from any Ko&ccedil; office
 
 
 Ko&ccedil; Community Sports Club: Participate in sports, social, and cultural events, and recharge in green spaces with our exclusive Ko&ccedil; Community Sports Club
 
 
 Ko&ccedil; Family Program : Access special advantages from Ko&ccedil; Group companies, and include two family members in this exclusive program.
 
 
 Flextra Benefits: Customize your benefits with Flextra, including life insurance, shopping vouchers, check-ups, and individual retirement plans etc.
 
 
 Special Leave Days: Enjoy flexible leave days for your birthday, your child's milestones
 
 
 Social Support: Receive support for significant life events such as weddings, family expansions
 
 
 
 
 
 
 🌐 Connect with us
 
 
 
 
 
 
 Web site: https://www.tokeninc.com/
 
 
 Linkedin:https://www.linkedin.com/company/tokeninc/
 
 
 Instagram: https://www.instagram.com/tokenfintech/
 
 
 YouTube:https://www.youtube.com/channel/UCaOpoQtYzio-s3KgGHuSPLA
 
 
 
 
 
 
 📜KVKK metni i&ccedil;in a&scedil;a&gbreve;&inodot;daki linke t&inodot;klay&inodot;n&inodot;z;
 
 
 
 
 Token_Finansal_Calisan_Aydinlatma_Acik_Riza_Metni_211124.pdf
 
 
</div>

Senior Digital Marketing Specialist

Rollic

<div>
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, and Knit Out
 
 
 , all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 ;
 
 
 
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Using our modern tech stack;
 
 
 AWS, Snowflake, Airflow, Tableau
 
 
 and
 
 
 DBT
 
 
 to develop innovative tools;
 </li>
 <li>
 Developing and maintaining
 
 
 A\B experiment system,
 
 
 </li>
 <li>
 Working closely with gaming teams to craft, test, verify, and implement machine learning models to make our games better,
 </li>
 <li>
 Applying statistical methodologies to evaluate performance and accounting for uncertainties in major initiatives;
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Skills and Qualifications
 
 
 
 
 
 <ul>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or related fields; Master or Ph.D.,
 </li>
 <li>
 3+ years of work experience in data science, machine learning, or analytics role,
 </li>
 <li>
 Demonstrated experience with some or all of the following: A\B testing systems, machine learning, statistics, data visualization,
 </li>
 <li>
 Proficient in Python and SQL; Experience in applying machine learning on large datasets, preferably using Snowflake or similar cloud data systems.
 </li>
 <li>
 Strong written and oral communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Discover our perks and benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

Data Scientist

Allianz

<div>
 
 How can you make an impact?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Mathematics, Statistics, or related fields
 </li>
 <li>
 Minimum 2 years of experience in Customer Data Analytics, Business Intelligence, Reporting, Data Modeling, and ETL solutions/projects
 </li>
 <li>
 Proficient in relational database concepts and languages such as SQL, TSQL, PL/SQL
 </li>
 <li>
 Experience or knowledge in Big Data and Open Source technologies is a plus
 </li>
 <li>
 Strong analytical mindset with the ability to tackle ambiguous problems, identify relevant data, make assumptions, and deliver actionable insights
 </li>
 <li>
 Skilled in defining KPI strategies, growth opportunities, time series analysis, and data visualization
 </li>
 <li>
 Experience with persona analysis and customer journey mapping methodologies
 </li>
 <li>
 Proficient in at least one data modeling or analytics tool such as SAS, KNIME,PBI, Python, or R
 </li>
 <li>
 Solid command of Microsoft Office applications
 </li>
 <li>
 Excellent verbal and written communication skills, able to present data-driven information clearly and professionally
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams and stakeholders
 </li>
 <li>
 Self-motivated, proactive, with a creative and problem-solving approach, open to innovation and continuous learning
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 What do we expect you to bring?
 
 
 
 <ul>
 <li>
 Act as an Analytics Translator by converting complex data into actionable insights accessible to all stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to define success metrics, track and quantify data, and develop a shared understanding of KPIs
 </li>
 <li>
 Provide ad-hoc analysis and build automated dashboards to offer clear visibility into business performance
 </li>
 <li>
 Develop deep analytical insights into the drivers of product growth and identify areas for improvement
 </li>
 <li>
 Lead the design, implementation, and optimization of loyalty programs, analyzing user behavior through customer segmentation, RFM, and cohort analyses
 </li>
 <li>
 Monitor loyalty campaign performance, design A/B tests, and generate valuable insights for continuous improvement
 </li>
 <li>
 Prepare regular dashboards and reports using data visualization tools for various business units
 </li>
 <li>
 Build predictive models such as churn analysis, CLV estimation, and user lifecycle forecasting
 </li>
 <li>
 Partner closely with CX and Marketing teams to create personalized, data-driven campaigns
 </li>
 <li>
 Aggregate data from multiple sources to create comprehensive dashboards and presentations
 </li>
 <li>
 Use customer insights and analytics to propose and implement strategic improvements
 </li>
 <li>
 Analyze customer feedback, identify key trends and outliers, and derive actionable insights to enhance customer experience
 </li>
 <li>
 Recommend data-driven changes to support strategic decision making and business growth
 </li>
 <li>
 Stay updated on the latest technology trends and contribute to AI projects using Python and R
 </li>
 <li>
 Support the development of communication strategies focused on acquiring new customers and retaining existing ones
 </li>
 <li>
 Conduct market and sales forecasting studies and prepare detailed forecast analyses
 
 
 </li>
 </ul>
 
 What we will offer you?
 
 
 
 
 Company
 
 
 
 <ul>
 <li>
 Working in Green certificated &amp; pet friendly Allianz Tower / Allianz Kamp&uuml;s with modern work spaces, gym &amp; social areas.
 </li>
 <li>
 Working in agile, flexible, digital and social culture
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 Working 40 hours a week
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Flex summer (July &ndash; August)
 </li>
 <li>
 Part time working
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Yearly bonus
 </li>
 <li>
 Home expense payment
 </li>
 <li>
 Home office payment (monthly)
 </li>
 <li>
 Transportation
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Employer sponsored pension &amp; Family included health insurance
 </li>
 <li>
 Special Allowances (Marriage, newborn etc.)
 </li>
 <li>
 Meal Allowance (Card/monthly)
 
 
 </li>
 </ul>
 
 Leave Rights
 
 
 
 <ul>
 <li>
 School Report Day (Half Day) &amp; First Day of school (Half Day)
 </li>
 <li>
 Allianz day off
 </li>
 <li>
 Birthday day off
 </li>
 <li>
 Paternity Leave &ndash; 10 days
 </li>
 <li>
 Marriage Leave &ndash; 5 days
 </li>
 <li>
 After 4 years of work, having extra one day annual leave each year (up to 26 days)
 
 
 </li>
 </ul>
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 
 And there is much more!
 
 
 
 Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the
 
 &ldquo;Customer Experience Data Scientist - P&amp;C Retail Insurance Member&rdquo;
 
 position.
 
 
 While you await news from us, we would like to share a playlist with you to help you enjoy your time.
 
 
 https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584
</div>

Customer Experience Data Scientist - P&C Retail Insurance Member

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 
 
 We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 
 
 
 
 
 
 About the Role
 
 
 
 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 product teams with ad-hoc analyses, and aligning reporting efforts with company strategy.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with cross-functional teams to define success metrics and deliver analytical solutions for complex product tasks (page performance, funnel health, check, behavioral segmentation, feature interaction, UX measurement, etc.)
 </li>
 <li>
 Create data models for A/B tests and analyze A/B tests to drive KPI improvements.
 </li>
 <li>
 Refine data translation processes and provide regular analysis on product OKRs
 </li>
 <li>
 Design and build internal analytics dashboards to track, quantify, and evaluate platform data.
 </li>
 <li>
 Comprehend the bigger picture as well as small details with a sense of analytical thinking.
 </li>
 <li>
 Enable effective decision-making by retrieving and aggregating data from multiple sources and compiling it into a simplified and actionable format.
 </li>
 <li>
 You will help to spread the product mindset to all stakeholders and colleagues.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 University degree preferably in Engineering, MIS, Management, Statistics.
 </li>
 <li>
 Minimum 1-year experience in data analytics, business intelligence or a similar role.
 </li>
 <li>
 Showing a data-centric mindset by establishing product metrics and making data-driven decisions.
 </li>
 <li>
 Fluent in data analysis, including defining KPI strategy and growth opportunities, time series analysis, data visualization.
 </li>
 <li>
 Strong knowledge of SQL or other query language experience combined with good mathematical and statistics foundations.
 </li>
 <li>
 Experience with Python/R is a plus.
 </li>
 <li>
 Experience working with Looker, Tableau, BI, and Data Studio or similar data visualization tools.
 </li>
 <li>
 A growth mindset with a self-starter attitude.
 </li>
 <li>
 Strong communication skills and an ability to break down complex information into relevant and digestible points.
 </li>
 <li>
 Excited to work with different functions within the company, creative problem solver who thrives with ambiguity.
 </li>
 <li>
 Develop custom data models and algorithms to apply to data sets.
 </li>
 <li>
 Excellent written and verbal communication skills in English.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 A customizable FlexBenefits budget &mdash; 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.
 
 
 Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 
 
 Personalized training allowance and learning opportunities &mdash; 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 &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 A diverse, international team &mdash; 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 &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply now and let&rsquo;s take the next step together.
 
 
 Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Data Analyst (Product Analytics)

Explore 307+ Analytics specialist in Istanbul Turkey this November. Find roles across top companies and apply now to boost your career.

307 analytics specialist jobs IN Istanbul Turkey

Data & AI Solutions Specialist

Data & AI Solutions Specialist

Data Analytics Intern - Stablecoin Insights (Remote)

Senior Digital Marketing Specialist

Data Scientist

Customer Experience Data Scientist - P&C Retail Insurance Member

Data Analyst (Product Analytics)