business analyst

backend developer

software engineer

data analyst

planning engineer

analytics engineer

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
 
 
 
 As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.
 </li>
 <li>
 Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).
 </li>
 <li>
 Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.
 </li>
 <li>
 Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.
 </li>
 <li>
 Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.
 </li>
 <li>
 Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
 </li>
 <li>
 3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.
 </li>
 <li>
 Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.
 </li>
 <li>
 Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).
 </li>
 <li>
 Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.
 </li>
 <li>
 Experience applying software engineering best practices to data, including version control (Git) and CI/CD.
 </li>
 <li>
 Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.
 </li>
 <li>
 An agile mindset for data product development.
 </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>

Analytics Engineer

Şişecam

<div>
 
 
 Sisecam was founded in 1935
 
 
 to establish Turkey&rsquo;s glass industry in line with the vision of
 
 
 Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
 
 
 . Sisecam is the only global company
 
 
 operating in all core areas of glass production &ndash;
 
 
 including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world&rsquo;s top two manufacturers of glassware and the top five producers of glass packaging and flat glass.
 
 
 Sisecam
 
 
 is one of the three largest soda ash producers in the world
 
 
 and
 
 
 the world leader in chromium chemicals.
 
 
 
 
 
 
 
 Sisecam plays a leading role in the flat glass
 
 
 , glasswa
 
 re
 
 , glass packagi
 
 ng
 
 , chemicals, automotive, glass fiber, mining, ener
 
 g
 
 
 
 y a
 
 
 nd recycli
 
 n
 
 
 
 g business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
 
 
 
 
 
 
 
 Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activi
 
 
 ty, with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who
 
 
 has 90 years of experience, more than 24 thousand employees, production activities i
 
 
 n 14 countries on four continents, and a sales network of more t
 
 
 han 150 count
 
 
 ries, continues its growth journey in line with i
 
 
 ts "Global Excell
 
 
 ence" strategy and w
 
 
 ith an inclusive approach that supports the development of company's entire ecosystem. Sisecam takes responsibility
 
 
 for protecting the planet, empowering society and transforming life with its CareForNext stra
 
 t
 
 
 
 egy, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspec
 
 t.
 
 
 
 
 
 We are looking for
 
 a Customer Relations and Order Management Responsi
 
 ble (Fixed-Term) to take part in Sisecam Headquarters &ndash; Global Accounts (Soda, Chromium &amp; Oxyvit) Customer Relations and Order Management Department located in Tuzla, Istanbul, T&uuml;rkiye. The ideal candidate would have the following qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Economics, Chemical Engineer, Industrial Engineer or a related field
 </li>
 <li>
 Minimum 3 years of experience in Customer Relations and Order Management position and/or After Sales Operations in Export field
 </li>
 <li>
 Deep understanding and experience of SAP S4 HANA modules (CRM tools knowledge is a plus)
 </li>
 <li>
 Deep understanding of managing export orders in the context of sales operations
 </li>
 <li>
 Fluency in English (both written and spoken)
 </li>
 <li>
 Excellent verbal, written and interpersonal communication skills, and a good team player
 </li>
 <li>
 Positive attitude, agile, ability to multi-task and act proactively and well self-motivated
 </li>
 <li>
 No restrictions on travel
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Controlling sales operations and communicating with the international customers
 </li>
 <li>
 Following purchase orders, controlling order details, planning delivery time plan and back-orders in accordance with related departments
 </li>
 <li>
 Keeping track on the overdue payments, discounts, promotions etc. of each customers group and updating information on the related systems
 </li>
 <li>
 Following system entries &amp; control of price lists, contract, and commercial terms in accordance with sales teams
 </li>
 <li>
 Managing and maintaining sales data through and with sales teams in SAP S4, ICRON and other CRM tools
 </li>
 <li>
 Assisting in the roll-out of the customer portal across product groups together with the Sales Ops. Technology and Analytics team. Through overseeing sales funnel; assisting in coordinating demand planning, forecasting, order fulfillment and allocation related communication across commercial and supply chain functions
 </li>
 <li>
 Assisting daily/weekly/monthly/quarterly/annual content for region/coordination office/product management &amp; executive presentations and board reporting
 </li>
 <li>
 Prioritizing product &amp; order allocation between customers through analyzing orders from customers in line with sales teams
 </li>
 </ul>
</div>

Customer Relations and Order Management Responsible (Fixed-Term)

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz, veri sorumlusu Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Ayd&inodot;nlatma Metni&rsquo;ne
 
 https://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Data Scientist

Virtuagym

<div>As Virtuagym keeps growing, we are looking for a Data Engineer (Finance Systems / Netsuite) to join our Finance Automation team. In this unique role, you will combine data engineering with financial systems expertise to design, optimize, and scale our ERP environment (NetSuite) and its integrations with other business-critical tools.
You&rsquo;ll be working with billions of rows of data from thousands of clients, but with a special focus on finance operations and automation. You&rsquo;ll help us build scalable workflows, integrate systems, and develop reporting solutions that drive both financial accuracy and operational efficiency.
This is a great opportunity if you&rsquo;re excited about data engineering challenges but also want to apply your skills to the finance domain, where automation, accuracy, and compliance are key.
This is a remote position, where you will be working as part of our Global Finance Automation (FinAuto) team. We are looking for somebody on full-time, part-time or freelance basis. We are a remote-friendly company, meaning you can work from your home at all times, however you need to be based in Turkey.
What this role looks like 
As a Finance Systems / NetSuite Engineer, you will play a key role in designing, developing, and optimizing our Financial Tech Stack and its integrations with other business-critical tools. As a fast-growing tech company, we are constantly building scalable, automated, and robust operational systems, your engineering expertise will be fundamental to our success. 
The ideal candidate will have 2+ years of (Finance) data engineering or development experience, with strong technical skills in data, integrations, and system architecture, combined with a solid understanding of financial operations:<ul><li>
Design, implement, and manage highly scalable financial data workflows using NetSuite and other tools.</li><li>
Connect, transform, and visualize large datasets (ERP, BI, transactional data).</li><li>
Develop and maintain integrations between NetSuite, Stripe, Salesforce and other platforms.</li><li>
Create and optimize reporting and dashboards in close collaboration with Finance and BI teams.</li><li>
Lead projects end-to-end: gather business requirements, architect solutions, test in sandbox environments, and roll out to production.</li><li>
Collaborate with product managers, data scientists, and finance analysts to accelerate automation and analytics.</li><li>
Contribute to shaping the future of Finance Automation at Virtuagym, ensuring scalable, automated, and robust financial systems.</li></ul> 
What You Bring<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Statistics, or Finance/Business with a strong technical affinity.</li><li>
2+ years of experience in data engineering, finance systems engineering, or ERP development.</li><li>
Strong knowledge of SQL and relational databases.</li><li>
Hands-on programming/scripting skills (Python, Java, SuiteScript, etc.).</li><li>
Experience with cloud services (AWS, RDS, EC2, etc.).</li><li>
Finance knowledge: basic understanding of BS, P&amp;L, Cash Flow, reconciliation, FX, etc.</li><li>
Excellent verbal and written English communication skills.</li><li>
Strong interest in automation, data-driven solutions, and the future of finance operations.</li></ul>
Important note: please do apply if you meet 70%+ of the criteria. At Virtuagym we hire great people, not just resumes. If you can't check off a few requirements but are a fast learner, we&rsquo;d love to hear from you!
Here&rsquo;s why you should come work with us 
Next to being inspired daily by talented and motivated colleagues and having plenty of opportunities for personal and professional growth, these are the main Virtuagym perks:
About Virtuagym 
Virtuagym is a leading and fast-growing innovator in the digital health and fitness domain, offering a Software as a Service solution and multiple native apps to users worldwide. We offer coaching and management solutions for trainers, studios, clubs and corporate wellness, all with the vision to make the world a healthier and happier place.
Virtuagym is an ambitious, passionate and multicultural team of talented people who want to create a healthier world for all. We believe in teamwork, challenging each other, being bold and adventurous, working lean, taking care of each other and sharing success. As a scale-up, we embrace our diversity, international character and our flat hierarchy that promotes great freedom, taking ownership and making a true impact. Our talented staff of 240+ employees are based out of two locations: Amsterdam, NL, and Medellin, CO.
Every day with us will be an opportunity to cultivate and evolve your personal and professional skills, as well as to make a significant impact on a global scale. At Virtuagym everyone can grow, whatever background you bring with you. We are not just colleagues, we are friends, willing to help and support each other. By joining us, you become a part of a joyful and energetic team.
Ready to join us? 
Please do not hesitate to apply by clicking the &lsquo;Apply for this Job&rsquo; button below! We will get back to your application within 10 working days.
For any questions on the vacancy, please get in touch with the recruitment team at recruitment@virtuagym.com.</div>

Data Engineer (Finance) - Turkey

Creatives Data

<div>
 
 We are seeking an experienced senior professional to lead data collection and analysis for marketing campaigns across multiple industry sectors. In this role, you will harness
 
 AI tools and advanced statistical methods
 
 to turn large, complex datasets into actionable insights that drive marketing strategy. You will build and analyze big data pools from various sources, develop predictive models, and present data-driven narratives that inform decision-making.The ideal candidate thrives at the intersection of data and storytelling, collaborating with cross-functional teams to optimize campaigns and support business goals with evidence-based insights.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As a
 
 Marketing Data Scientist / Big Data Analyst
 
 , you will play a pivotal role in our agency by managing end-to-end data initiatives for marketing campaigns in diverse sectors. This includes developing methods to
 
 collect and aggregate large datasets from numerous digital sources
 
 , then cleaning and processing that data to uncover meaningful patterns
 
 
 &nbsp;
 
 
 You will transform raw data into clear
 
 graphs, statistical reports, and insightful visualizations
 
 that aid in decision-making Using AI-driven analytics and machine learning models, you will generate predictive insights and optimization recommendations to improve campaign performance. Your work will directly influence marketing tactics such as lead generation strategies, business planning, and branding efforts by providing deep analytical reports and forecasts. In collaboration with marketing teams, you&rsquo;ll help set targets and KPIs, ensuring that data-driven insights are integrated into strategic planning. Ultimately, you will be responsible for leveraging cutting-edge analytics to
 
 drive marketing strategies and enhance campaign effectiveness
 
 across the organization
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Develop and implement robust data collection methods to gather
 
 large-scale data
 
 from relevant industries and digital platforms. Build and maintain big data repositories combining sources like web analytics, CRM systems, social media, and more ensure data quality through cleaning and validation processes for accurate analysis.
 </li>
 <li>
 
 Data Processing &amp; Visualization:
 
 Utilize tools such as
 
 Python
 
 (pandas, NumPy) and
 
 Excel
 
 to process and analyze the collected data. Generate clear visualizations (charts, graphs) and performance reports to communicate key metrics and trends regularly prepare
 
 monthly/quarterly KPI reports
 
 using software like Excel and Power BI, translating complex datasets into easily understandable dashboards.
 </li>
 <li>
 
 Advanced Analytics &amp; AI Integration:
 
 Leverage artificial intelligence and machine learning techniques to extract deeper insights from marketing data.
 
 Build predictive models
 
 to forecast marketing performance and customer behavior, and analyze campaign data to uncover actionable insights using AI/ML techniques use predictive analytics to solve complex marketing problems and drive data-informed business decisions.
 </li>
 <li>
 
 Campaign Optimization:
 
 Apply advanced statistical analysis to evaluate campaign outcomes and identify opportunities for improvement. Develop
 
 audience segmentation models and personalization strategies
 
 to help target the right audiences at the right time provide optimization recommendations (e.g. timing, channel mix, budget allocation) based on data findings to maximize ROI on marketing campaigns.
 </li>
 <li>
 
 Reporting &amp; Insights Communication:
 
 Extract data from platforms like
 
 Google Analytics
 
 and
 
 Meta (Facebook/Instagram) Business Suite
 
 to assess campaign performance across digital channels. Prepare comprehensive analysis reports on key areas such as lead generation funnels, marketing ROI, and brand engagement, presenting findings to stakeholders in a clear narrative format.
 
 Present data-driven insights and recommendations
 
 to marketing and leadership teams, translating analytic results into concrete action items.
 </li>
 <li>
 
 Collaboration &amp; Strategy Support:
 
 Work closely with marketing, sales, and business planning teams to define campaign goals and
 
 key performance indicators (KPIs)
 
 . Partner with cross-functional teams (including product and IT) to ensure analytical findings inform strategic decisions and to implement data-driven improvements support the development of innovative marketing strategies by providing thought leadership on data and emerging trends.
 </li>
 <li>
 
 Automation &amp; Tool Development:
 
 Identify opportunities to
 
 automate data extraction, reporting, and analysis
 
 processes using AI and scripting. Develop and maintain interactive dashboards (e.g., in Tableau or Power BI) to allow stakeholders self-service access to marketing analytics. Continuously research and integrate new data tools or methodologies to enhance the analytics workflow and efficiency.
 </li>
 <li>
 
 Continuous Improvement:
 
 Stay up-to-date with the latest industry trends in marketing analytics, big data technologies, and AI applications. Monitor the effectiveness of data mining and analytics tools in use, troubleshooting any issues that arise proactively recommend and implement enhancements to data practices, ensuring our analytics approach remains cutting-edge and effective in driving marketing success.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 7+ years of relevant experience (senior level) in data science, marketing analytics, or a related field. Proven track record of leveraging data analysis to drive significant business impact and marketing ROI experience in managing large-scale data projects from inception to insight delivery.
 </li>
 <li>
 
 Digital Marketing Analytics:
 
 Hands-on experience analyzing digital marketing performance using platforms like
 
 Google Analytics
 
 (or Adobe Analytics) and social media advertising tools (Facebook/Instagram Ads Manager, Google Ads, etc.). Deep understanding of web analytics and marketing metrics to independently evaluate campaign success.
 </li>
 <li>
 
 Technical Skills:
 
 Advanced proficiency in
 
 Python
 
 for data analysis (including libraries such as pandas and NumPy) and
 
 Excel
 
 (complex formulas, pivot tables) for data manipulation. Strong ability to query and handle databases using
 
 SQL
 
 and/or to perform statistical analysis in tools, familiarity with statistical software or languages (e.g., R, SAS) is a plus.
 </li>
 <li>
 
 AI &amp; Machine Learning:
 
 Working knowledge of AI and machine learning techniques as applied to marketing data. Experience building or utilizing ML models for predictive analytics, customer segmentation, or personalization in a marketing context awareness of AI-driven marketing tools (such as optimization algorithms, chatbots, or recommendation engines) and ability to integrate these into analysis workflows.
 </li>
 <li>
 
 Big Data &amp; BI Tools:
 
 Comfortable working with
 
 large datasets
 
 (&ldquo;big data&rdquo;) from varied sources. Experience using data visualization and business intelligence tools like
 
 Power BI or Tableau
 
 to create interactive dashboards and reports for stakeholders knowledge of data warehousing concepts and ability to extract data from data warehouses or big data platforms is preferred.
 </li>
 <li>
 
 Analytical &amp; Problem-Solving Skills:
 
 Exceptional analytical thinking and problem-solving abilities, with a talent for identifying trends and insights in complex data ability to design experiments (A/B tests, multivariate testing) and apply statistical rigor to interpret results. A
 
 data-driven mindset
 
 and attention to detail in validating findings.
 </li>
 <li>
 
 Communication &amp; Storytelling:
 
 Excellent communication skills to translate data findings into compelling stories and presentations for both technical and non-technical audiences. Proven ability to
 
 communicate insights and recommendations
 
 to all levels of an organization, aiding strategic decision-making.
 </li>
 <li>
 
 Leadership &amp; Collaboration:
 
 Demonstrated ability to lead projects and possibly mentor junior analysts or data team members. A collaborative attitude to work effectively with cross-functional teams.
 
 (Leadership experience in guiding analytics initiatives or teams is a strong plus, indicating the ability to manage resources and drive a data-focused culture)
 
 </li>
 <li>
 
 Language Proficiency:
 
 Proficiency in English (written and spoken) is required. You should be comfortable reading and writing technical documentation in English and communicating findings to international stakeholders.
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as
 
 Statistics, Data Science, Computer Science, Engineering, Mathematics, Economics, or Marketing
 
 a strong foundation in quantitative analysis is essential. Advanced degrees or relevant certifications in data analytics or marketing science are advantageous.
 </li>
 </ul>
 
 
 
 
 Our agency works on multi-sector projects, so we value candidates who are
 
 adaptable and curious about different industries
 
 , and who can apply data-driven marketing strategies in new domains. If you are an innovative thinker who stays on top of emerging trends and enjoys turning data into strategic insights, we encourage you to apply.
 
</div>

Big Data Analyst & Marketing Data Scientist

MARTUR FOMPAK International

<div>
 
 An emerging trusted partner of OEMs, Martur Fompak International manufactures and supplies high-quality seating systems, vehicle interiors and automotive textiles. With 30 plants, 5 R&amp;D Centers, and 7 Engineering Design offices around the globe, we further bolster our success in customer satisfaction and progress in international expansion by leading projects across a wide spectrum ranging from design to production and delivery of key cockpit products with a vision for reshaping mobility.
 
 
 
 
 
 Inspired by our core values, we strive to provide an agile and engaging work environment that fosters innovation, leadership, and lifelong learning.
 
 
 
 
 
 So, are you ready for a fresh challenge in a fast-growing company? Do you want to work in a multicultural environment in the automotive industry? If your answer is yes, join us now.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 We are looking for a
 
 HR Analytics Senior Specialist
 
 to drive data-driven decision-making in our Human Resources function. This role will be responsible for collecting, analyzing, and interpreting HR data to provide insights that improve workforce planning, talent management, employee experience, and overall HR effectiveness. The ideal candidate will collaborate closely with HRBPs, HR Managers and business stakeholders to build and implement HR analytics strategies, tools, and dashboards.
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in HR, Business, Data Analytics, Statistics, or a related field
 </li>
 <li>
 Minimum 4 years of experience in HR Analytics, People Analytics, or Workforce Planning
 </li>
 <li>
 Proficiency in data visualization tools (Power BI, Tableau, Google Data Studio)
 </li>
 <li>
 Experience in generating reports using
 
 SAP SuccessFactors
 
 modules
 </li>
 <li>
 Strong knowledge of HR processes and KPIs (e.g., talent management, engagement)
 </li>
 <li>
 Excellent
 
 data storytelling
 
 and communication skills to present complex insights clearly
 </li>
 <li>
 Experience working in dynamic environments with multiple stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Develop and implement HR analytics strategies that support key HR processes such as workforce planning, talent management, performance management, and engagement.
 </li>
 <li>
 Analyze HR metrics and trends, including international and cross-functional comparisons, to guide data-driven decisions.
 </li>
 <li>
 Design and maintain HR dashboards and reports, presenting findings through effective data storytelling for both leadership and non-technical audiences.
 </li>
 <li>
 Use predictive analytics to identify workforce trends and potential talent risks.
 </li>
 <li>
 Ensure data quality and governance across HR systems (e.g., SAP SuccessFactors, LMS) and optimize system integration for accurate reporting.
 </li>
 <li>
 Evaluate the effectiveness of development programs, talent pools, and leadership initiatives to support strategic workforce planning.
 </li>
 <li>
 Collaborate with OD and L&amp;D teams to measure the ROI of learning and development efforts.
 </li>
 <li>
 Promote data literacy within HR through insight-sharing sessions and dashboard training.
 </li>
 <li>
 Coordinate cross-functional analytics projects, involving HR, Finance, and Operations when needed.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 Our Vision
 
 
 
 Reshaping mobility with responsible solutions.
 
 
 
 
 
 
 Our Mission
 
 
 
 As an innovative strategic partner, we supply the highest standards of services through sustainable and accessible cockpit systems.
 
 
 
 
 
 Diversity in our workforce brings a range of experiences, ideas, and perspectives that enable us to create a more inclusive culture for all. We place great importance on making objective decisions during recruitment, development and promotion of employees, based on their qualifications and skills. We promote an inclusive working environment where everyone is valued for their contribution.
 
 
 
 
 
 If you share these values and wish to work with us towards a more sustainable future, we look forward to your application.
 
</div>

HR Analytics Senior Specialist

Vodafone

<div><div><div><div><h2 class="jobSectionHeader">Join Us</h2>
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At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</div></div><div><div><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
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The main objective of this role is collecting and analyzing behavioral data of users in our digital channels (My Vodafone App and vodafone.com.tr) in the best way and creating actionable business and technical insights for all teams. Creates a strategy for analytical measurement in digital channels and monitors whether it is progressing correctly. Becomes an advocate of spreading the culture of data-driven business decision making within Vodafone as owner of analytical data in digital. 
 
<ul><li>Support the analytical needs of squads by analysing web and app data using clickstream tools (Adobe Analytics and Google Analytics).
</li><li>Create holistic dashboards and insights by pulling data from different data sources for presentations.
</li><li>Make daily/weekly recommendations for optimization of digital customer experience.</li><li>Research and investigate market to ensure that best practices in metrics and decision making are being exposed to the business management and core decision makers.</li><li>To prepare requirement document for analytics implementation for digital channels and work closely with technology teams in order to ensure implementation is done correctly.
</li><li>Lead QA and UAT of analytics implementations</li><li>Continuously check-up of analytics codes in digital channels to identify gaps in the data capture strategy and collaboratively implement enhancements.</li><li>Support and train internal end users of digital analytics tools.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader">
Who you are</h2>
</div><div><ul><li>Bachelor Degree in engineering, pure sciences or business</li><li>Advance verbal and written communication skills in English</li><li>Good Knowledge on Analytics Tools and Tag Managers (Adobe Analytics, Google Analytics, GTM, Tealium etc.)</li><li>Knowledge about website tagging plans, JavaScript and app technologies</li><li>In-depth understanding of Landing Page/Funnel Optimization</li><li>Familiarity with CDP, A/B testing tools and Seo</li><li>Experience with data visualization tools</li><li>Results-oriented with strong planning and organizational skills</li><li>Passionate about analytics and data-driven marketing</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Not a perfect fit?</h2>
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Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</div></div><div><div><h2 class="jobSectionHeader">
What's in it for you</h2>
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We like to keep them flexible: 
 
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul> 
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr 
 
https://www.vodafone.com.tr/insan-kaynaklari 
 
Instagram: https://www.instagram.com/vodafonekariyer/ 
 
Youtube: https://www.youtube.com/user/VFTurkiye 
 
Data Privacy 
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader">
Who we are</h2>
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We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Together we can.</div></div></div></div>

Digital Analytics Lead

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