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business analyst

data scientist Jobs in Test Jobs In Test Jobs In Test Jobs In House Counsel Jobs In Istanbul

data scientist

data analyst Jobs in Test Jobs In Test Jobs In Test Jobs In House Counsel Jobs In Istanbul

data analyst

senior data scientist Jobs in Test Jobs In Test Jobs In Test Jobs In House Counsel Jobs In Istanbul

senior data scientist

data analyst (genai) Jobs in Test Jobs In Test Jobs In Test Jobs In House Counsel Jobs In Istanbul

data analyst (genai)

data analytics specialist

Eczacıbaşı İlaç Pazarlama

<div>
 
 
 What do we offer you?
 
 
 
 
 
 <ul>
 <li>
 At Eczac&inodot;ba&scedil;&inodot;, you can steadily improve your personal, professional, and technical competencies by participating in
 
 training programs
 
 that support you and your career.
 </li>
 <li>
 You will have access to opportunities for
 
 rotation
 
 among more than 50 companies and
 
 global experience
 
 in over 120 international markets.
 </li>
 <li>
 
 Vacation time
 
 at Eczac&inodot;ba&scedil;&inodot; is calculated according to seniority based on your total work experience. Your bring your seniority with you.
 </li>
 <li>
 We will always recognize your success through different
 
 reward
 
 methods.
 </li>
 <li>
 You can take advantage of location-independent or hybrid work opportunities through
 
 different work models
 
 suitable to the nature of your job, and you can determine your own work schedule with
 
 flexible work hours
 
 . We offer technology and ergonomic support packages to Eczac&inodot;ba&scedil;&inodot; employees who work remotely full-time.
 </li>
 <li>
 As a new parent working at Eczac&inodot;ba&scedil;&inodot;, you are privileged. Eczac&inodot;ba&scedil;&inodot; employees who are mothers are provided with monthly
 
 nursery support
 
 ; Eczac&inodot;ba&scedil;&inodot; employees who are fathers are entitled to a
 
 3-week paternity leave
 
 .
 </li>
 <li>
 We are committed to ensuring
 
 equal opportunity
 
 of employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority.
 </li>
 </ul>
 
 
 
 
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen
 
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you find it exciting to develop enterprise AI applications on Microsoft AI Foundry,
 </li>
 <li>
 If connecting data sources to Foundry and designing model and multimodal agent workflows motivates you,
 </li>
 <li>
 If creating innovative AI solutions that improve business processes using Prompt Flow and Copilot Studio sounds appealing to you,
 </li>
 <li>
 If you can continuously improve the performance, accuracy, security, and cost-efficiency of AI agents running in production,
 </li>
 <li>
 If you can manage critical operational steps such as model versioning, logging, monitoring, and AI governance in production environments,
 </li>
 <li>
 If you enjoy working closely with business units to understand their needs and translate them into technical solution designs,
 </li>
 <li>
 If developing POCs and prototypes, maturing them, and bringing them into production interests you&hellip;
 </li>
 </ul>
 
 
 Then you are exactly who we&rsquo;re looking for!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 
 
 
 <ul>
 <li>
 If you graduated from Computer Engineering, Software Engineering, Industrial Engineering, Data Engineering, or a related field,
 </li>
 <li>
 If you have experience in Microsoft AI Foundry, Azure OpenAI, Prompt Flow, AI Orchestration, and Copilot Studio,
 </li>
 <li>
 If you have knowledge of plugin development within Copilot Studio and Microsoft Graph integrations,
 </li>
 <li>
 If you are proficient in Microsoft Fabric technologies (Data Engineering, Lakehouse, Semantic Models),
 </li>
 <li>
 If you have hands-on experience in API integration and backend development using Python,
 </li>
 <li>
 If you are familiar with modern AI methodologies such as LLMs, agentic AI, RAG, embeddings, and vector databases,
 </li>
 <li>
 If you can design integration architectures using Azure Functions, Logic Apps, and API Management,
 </li>
 <li>
 If you have IAM and secret management knowledge and basic cloud security awareness,
 </li>
 <li>
 If you have the technical expertise to architect AI orchestration, pipeline design, and multimodal agent system
 </li>
 </ul>
 
 We believe
 
 you should experience &ldquo;Career, Growth, Life, and the Future at Eczac&inodot;ba&scedil;&inodot;&rdquo;!
 
 
</div>

Data Analytics Specialist

Abdi Ibrahim Pharmaceuticals

<div>
 
 Abdi &Idot;brahim, founded in 1912, has the largest product portfolio in the sector and is the largest employer in the Turkish pharmaceutical industry with 5.500 employees. Abdi &Idot;brahim has been the leader of Turkey&rsquo;s pharmaceutical industry since 2002 with its powerful vision. Today, Abdi &Idot;brahim operates in 17 countries outside Turkey, exports to more than 70 countries ranging from Canada to European Union member states, from North Africa to Asia. As a corporate citizen working towards creating a better world and a better future, adhering to its mission in the sector and to the requirements of societal priorities, Abdi &Idot;brahim focuses on sustainability in all its business processes. Its vision for 2025 - apart from maintaining its status as a wholly local company - is to become "one of the top 100 pharmaceutical companies in the world.
 
 
 
 
 
 Abdi &Idot;brahim Pharmaceuticals - Data Scientist
 
 
 
 
 
 
 The requirements for the successful candidate are;
 
 
 <ul>
 <li>
 BSc or MSc degree in a quantitative field such as Computer Engineering, Industrial Engineering, Mathematics, Statistics or related disciplines
 </li>
 <li>
 At least 1 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for specialist
 </li>
 <li>
 At least 5 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for executive
 </li>
 <li>
 Strong theoretical and practical knowledge of Machine Learning algorithms (regression, classification, clustering, tree-based models, neural networks, etc.)
 </li>
 <li>
 Proven experience with data preprocessing, feature engineering, model training, model evaluation and optimization
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus)
 </li>
 <li>
 Solid experience with SQL and relational databases
 </li>
 <li>
 Familiarity with data visualization tools such as Power BI, Tableau, or equivalent
 </li>
 <li>
 Strong knowledge of statistical analysis and experimental design.
 </li>
 </ul>
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with time series forecasting, recommender systems, NLP or computer vision
 </li>
 <li>
 Experience with MLOps, model deployment and automation
 </li>
 <li>
 Experience in cloud environments (Azure, AWS, GCP)
 </li>
 <li>
 Knowledge of pharmaceutical industry
 </li>
 </ul>
 
 
 
 
 
 The key duties of the successful candidate are:
 
 
 <ul>
 <li>
 Develop, validate, and deploy machine learning and data mining models to solve real business problems
 </li>
 <li>
 Perform exploratory data analysis (EDA) and create advanced analytical insights from large datasets
 </li>
 <li>
 Design and implement feature engineering pipelines and model optimization strategies
 </li>
 <li>
 Work closely with business teams to translate business problems into analytical solutions
 </li>
 <li>
 Build predictive, classification and segmentation models
 </li>
 <li>
 Monitor model performance and continuously improve model accuracy
 </li>
 <li>
 Write efficient SQL queries to extract and prepare data from enterprise data sources
 </li>
 <li>
 Develop scalable analytics solutions using Python-based data science frameworks
 </li>
 <li>
 Document methodologies and communicate results clearly to both technical and non-technical stakeholders
 </li>
 <li>
 Contribute to the development of advanced analytics roadmap
 </li>
 </ul>
 
 
 
 
 Applicants with suitable qualifications are kindly invited to apply through LinkedIn. All applications will be acknowledged and treated confidentially.
 
 
 
</div>

Data Scientist (Executive/Specialist)

Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>
Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.
What&rsquo;s in it for you?
✨Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program
Transportation: Shuttle service / Transportation support
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div></div></div></div></div></div></div></div></div></div>
 
<div>Job Description 
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:<ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul>
Requirements<ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div>

Data Engineer

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 
 
 
 
 
 We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 
 
 
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree or PhD will be a plus),
 </li>
 <li>
 4+ years of work experience in data science field.
 </li>
 <li>
 Broad experience with end-to-end machine learning project implementation. Involvement in all modelling steps from data extraction to modelling and deployment.
 </li>
 <li>
 Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products
 </li>
 <li>
 Strong knowledge of Python, SQL or relevant statistical tools. (Spark, GCP, Git , DevOps will be a plus)
 </li>
 <li>
 Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
 </li>
 <li>
 Excellent analytical skills and attention to details
 </li>
 <li>
 Desire to use modern technologies as a disruptive influence,
 </li>
 <li>
 Open-minded for new technologies.
 </li>
 <li>
 Strong verbal and written communication skills in English and Turkish
 </li>
 </ul>
 
 
 
 
 
 
 How to Succeed
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Analyze portfolio trends and detect the root causes of problems by performing advanced data analysis and modelling techniques
 </li>
 <li>
 Develop new strategies by analyzing and evaluating large data volumes and utilizing various statistical and analytical techniques and tools
 </li>
 <li>
 Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
 </li>
 <li>
 Flexibility &amp; Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed
 </li>
 <li>
 Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations
 </li>
 <li>
 Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business
 </li>
 </ul>
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 
 
 
 <ul>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
</div>

Principal Data Scientist

HubX

<div>
 
 At
 
 HubX
 
 we build mobile apps, used and loved by millions all around the world.
 
 
 
 
 
 We have a track record of building and growing mobile apps on various verticals that reached over 300 million users across 6 continents and 170+ countries.
 
 
 
 
 
 We are looking for a talented
 
 "Data Analyst&rdquo;
 
 to join our energetic and highly motivated team.
 
 
 
 
 
 As a talented
 
 "Data Analyst&rdquo;
 
 you have plenty of opportunities at your fingertips. So, why should HubX be your next move? We offer you an opportunity to make a huge impact in the lives of millions of users through our products, and even the mobile app industry at large in the next years to come.
 
 
 
 
 
 
 X Culture: Do What You Love
 
 
 
 At HubX, we pride ourselves on fostering an environment of collaboration, creativity, and innovation. Our
 
 #XCulture
 
 is more than just a workplace ethos; it's a lifestyle. We believe passion drives success. At HubX, Do What You Love isn&rsquo;t just a motto; it's the foundation of our work.
 
 
 
 
 
 
 Some of your responsibilities
 
 
 <ul>
 <li>
 Work closely with Product Managers, Developers and Marketing teams to accurately track and analyse product initiatives and marketing performance
 </li>
 <li>
 Build and maintain key business and product KPI dashboards with reliable data validation
 </li>
 <li>
 Provide analytical support that helps teams understand user behaviour and make data-informed decisions
 </li>
 <li>
 Develop high-quality, scalable SQL queries (preferably on BigQuery)
 </li>
 <li>
 Use Python for data manipulation, automation and analytical processes
 </li>
 <li>
 Visualise data on BI tools to communicate insights clearly and effectively
 </li>
 <li>
 Perform exploratory analyses to understand user behaviour, funnels and app journeys
 </li>
 <li>
 Contribute to improving data quality, reliability and documentation within analytics processes
 </li>
 </ul>
 
 
 
 
 
 What we look for
 
 
 <ul>
 <li>
 Minimum 3 years of hands-on experience in data analytics, preferably in mobile app &amp; web analytics role
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, MIS, Statistics, Mathematics or other related fields
 </li>
 <li>
 Strong Python knowledge
 </li>
 <li>
 Hands-on SQL experience, preferably with BigQuery
 </li>
 <li>
 Strong analytical and problem-solving skills, with high attention to detail
 </li>
 <li>
 Ability to translate data into meaningful insights and actionable recommendations
 </li>
 <li>
 Comfortable working in fast-paced, data-driven, product-focused environments
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience in the
 
 mobile app business
 
 or analytics for consumer digital products
 </li>
 <li>
 Experience with
 
 Looker
 
 ,
 
 Tableau
 
 ,
 
 Power BI
 
 or similar BI tools
 </li>
 <li>
 Understanding of data warehousing concepts, ETL processes or data modeling
 </li>
 <li>
 Familiarity with LTV-CAC concepts, A/B testing, experiment frameworks or user behaviour analysis
 </li>
 </ul>
 
 
 
 
 
 The benefits of working with us
 
 
 
 We would like you to focus on what you do best, we take care of the rest.
 
 <ul>
 <li>
 
 Huge impact:
 
 Your work can significantly impact our millions of users, and even the mobile app industry at large in the next years to come.
 </li>
 <li>
 
 Ownership, opportunity to take responsibility from day one:
 
 No one will micromanage you. Together with your team, you&rsquo;ll be free to choose a direction, test, fail, and test the next idea.
 </li>
 <li>
 
 A competitive compensation package:
 
 Our total compensation package is very comprehensive; covering your cost of commuting for our headquarters as well as providing you with a meal card.
 </li>
 <li>
 
 A brand new Macbook and welcome kit
 
 </li>
 <li>
 
 Private Medical Insurance &amp; HPV Vaccine &amp; Critical Women&rsquo;s Health Coverage:
 
 We go above and beyond for your health.
 </li>
 <li>
 
 Gym Reimbursement:
 
 We support annual gym membership because we want you to be in tip-top shape psychically and mentally.
 </li>
 <li>
 
 A unique and top-notch office:
 
 Our Istanbul office is located at Maslak, right in the heart of the city. Surrounded by the energy of Istanbul&rsquo;s bustling core, it&rsquo;s a space designed for creativity and collaboration.
 </li>
 <li>
 
 Unlimited coffee from XPresso:
 
 You can grab a cup of coffee whenever you need, whether it&rsquo;s to kickstart your morning or power through the day.
 </li>
 <li>
 
 Limitless Snacks &amp; breakfast:
 
 Fuel your day with our fully stocked kitchen! From a hearty breakfast to a variety of snacks available anytime, we&rsquo;ve got everything you need to stay energized and focused.
 </li>
 <li>
 
 Continuous education:
 
 The more you want to improve your knowledge, the more we support you!
 </li>
 <li>
 
 Meditopia membership:
 
 Enjoy full access to Meditopia for mental wellbeing, yoga, and therapy.
 </li>
 <li>
 
 Cambly access:
 
 Break language barriers with weekly Cambly speaking sessions.
 </li>
 <li>
 
 Team events
 
 that create lasting memories, including our traditional All Hands gatherings where the whole company comes together, as well as more humble celebrations and happy hours. Curious about our vibe? Take a look at our Instagram!
 </li>
 <li>
 
 Strong company culture:
 
 Our approach is always open communication &amp; teamwork. #XCulture
 </li>
 <li>
 
 X Community discounts:
 
 Being part of HubX comes with perks, enjoy exclusive discounts and more as a valued member of our community.
 </li>
 </ul>
 
 
 
 
 
 The Recruiting Process
 
 
 
 At
 
 HubX
 
 , we value transparency and efficiency. Here&rsquo;s a glimpse into our streamlined recruitment process:
 
 <ol>
 <li>
 
 Application Submission:
 
 Apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself.
 </li>
 <li>
 
 People &amp; Culture Interview:
 
 Engage in a conversation with our People &amp; Culture team to discuss your background, aspirations, and how we align with each other&rsquo;s goals.
 </li>
 <li>
 
 Case Study Assignment:
 
 Showcase your skills through a practical task related to the role.
 </li>
 <li>
 
 Technical Interview:
 
 Meet with your potential team lead for an in-depth review of your case study and technical expertise.
 </li>
 <li>
 
 Welcome Aboard!:
 
 If all goes well, we&rsquo;re excited to extend an offer and welcome you to the team.
 </li>
 </ol>
 
 
 Your personal data collected through your job applications will be processed by HubX in accordance with the Personal Data Protection Law No. 6698 ("KVKK") for the recruitment and evaluation. To review our data protection informing text: Link
 
 
 
 
 &Idot;&scedil; ba&scedil;vurular&inodot;n&inodot;z kapsam&inodot;nda toplanan ki&scedil;isel verileriniz HubX taraf&inodot;ndan i&scedil;e al&inodot;m ve de&gbreve;erlendirme amac&inodot;yla 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu'na ("KVKK") uygun olarak i&scedil;lenecektir. Ayd&inodot;nlatma metnimizi incelemek i&ccedil;in: Link
 
 
 
 
 
</div>

Data Analyst

<div>Bir işe başvurmadan &ouml;nce, bu sayfanın sağ &uuml;st k&ouml;şesinde bulunan se&ccedil;eneklerden dil tercihinizi se&ccedil;in.
Bir Fortune Global 500 şirketinde bir sonraki fırsatınızı keşfedin. Yenilik&ccedil;i olanaklar hayal edin, tatmin edici iş k&uuml;lt&uuml;r&uuml;m&uuml;z&uuml; deneyimleyin ve her ge&ccedil;en g&uuml;n daha iyi olmanıza yardımcı olacak yetenekli ekiplerimizle &ccedil;alışın. UPS'i yarınlara taşımak i&ccedil;in ne gerektiğini biliyoruz - benzersiz bir beceri + hırs kombinasyonuna sahip insanlar. Kendinizi veya ekiplerimizi y&ouml;netmek i&ccedil;in gerekli niteliklere ve motivasyona sahipseniz, becerilerinizi kullanmaya ve sizi bir sonraki seviyeye taşımaya hazır rollerimiz var.
İş A&ccedil;ıklaması:
QUALIFICATIONS<ul><li>
Bachelor&rsquo;s Degree, preferably Industrial Engineering,</li><li>
Excellent command of English, comfortable with giving presentations in English,</li><li>
Skilled command of MS-Office tools(Especially Access &amp; Excel),</li><li>
Knowledge of SQL commands/language,</li><li>
Self-driven in following his/her responsibilities,</li><li>
Self-motivated, ready to take initiative, open for development,</li><li>
Team worker and strong in interpersonal relationships,</li><li>
Can adapt to dynamic work environment,</li><li>
Has a clear vision of career goals,</li></ul>
JOB SUMMARY 
 
The Data Reporting and Metrics Specialist is responsible for providing operational data for Global Freight Forwarding. He/ She generates queries to obtain data for internal customer requests and analyzes data to ensure the information is accurate and meets customer needs. 
RESPONSIBILITIES<ul><li>
Generates Reports
<ul><li>Utilizes advanced data retrieval methods (e.g., SQL, macros, etc.) to create and run queries efficiently.</li><li>
Generates operational reports for senior management to help identify service failures and to support operational planning decisions.</li><li>
Analyzes and formats data deliverables (e.g., reports, spreadsheets, etc.) to provide users with meaningful and interpretable information.</li></ul></li><li>
Conducts Research and Analyzes Data
<ul><li>Researches and identifies operational data to ensure stakeholders (e.g., senior management, etc.) are informed.</li><li>
Analyzes and manipulates data to answer business questions and to respond to data requests.</li><li>
Identifies appropriate information to share with stakeholders to ensure clarity, focus, and efficiency of data.</li></ul></li></ul> 
&Ccedil;alışan T&uuml;r&uuml;: 
Kalıcı 
UPS; ayrımcılığın, tacizin ve misillemenin olmadığı bir iş yeri sağlamayı taahh&uuml;t eder.</div>

Data Reporting and Metrics Specialist

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 💙
 
 
 
 
 
 
 What you'll do (Your Impact):
 
 
 
 
 
 
 &middot;
 
 Own the Digital Footprint:
 
 Act as the primary owner for our analytics stack, mastering
 
 GA4
 
 and
 
 Adjust
 
 to capture and analyze the complete customer journey across all digital touchpoints.
 
 
 &middot;
 
 Drive Technical Implementation:
 
 Lead the hands-on implementation, management, and quality assurance of events and tags using
 
 Google Tag Manager (GTM)
 
 and
 
 Firebase
 
 .
 
 
 &middot;
 
 Translate Data into Action:
 
 Dive deep into user behavior data to uncover critical insights, identify growth opportunities, and recommend data-backed actions to marketing and product teams.
 
 
 &middot;
 
 Champion Reporting &amp; Visualization:
 
 Design, build, and maintain insightful dashboards and reports in
 
 Looker Studio (formerly Data Studio)
 
 , transforming raw data into easy-to-understand visualizations for all stakeholders.
 
 
 &middot;
 
 Optimize the User Experience:
 
 Collaborate closely with the UX team to design, execute, and analyze A/B and multivariate tests, continuously driving improvements in user experience and conversion rates.
 
 
 &middot;
 
 Collaborate for Success:
 
 Partner with our Development, Marketing, Category, and Data teams to ensure seamless tracking implementation and alignment on key growth initiatives.
 
 
 &middot;
 
 Stay Ahead of the Curve:
 
 Keep up-to-date with the latest trends in digital analytics and online marketing to ensure our strategies remain innovative and effective.
 
 
 
 
 
 
 What you'll bring (Your Skills):
 
 
 
 
 
 
 &middot; Bachelor's degree in Engineering, Business, Statistics, or a related field.
 
 
 &middot; A minimum of 3+ years of hands-on experience in a digital analytics role.
 
 
 &middot; Expert-level, practical experience with
 
 GA4, Adjust, Google Tag Manager (GTM),
 
 and
 
 Firebase
 
 .
 
 
 &middot; Proven ability to build compelling data visualizations and automated reports in
 
 Looker Studio (Data Studio)
 
 .
 
 
 &middot; Deep expertise in customer journey analysis, digital marketing analytics, and Conversion Rate Optimization (CRO).
 
 
 &middot; A highly analytical and problem-solving mindset, with the ability to provide creative, data-backed advice.
 
 
 &middot; Excellent project management skills with the ability to handle multiple projects simultaneously in a fast-paced environment.
 
 
 If you are a data expert ready to make a tangible impact on a growing business, we want to hear from you!
 
 
 
 
 
 
 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.
 
 
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Digital Analytics Specialist / Senior Specialist (Growth)

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