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Sompo Teknoloji

<div>
 
 Sompo Technology was founded in August 2024 by Sompo Insurance T&uuml;rkiye, a leader in non-life insurance products. Based at &Idot;T&Uuml; ARI Teknokent, Sompo Technology is committed to shaping the future of insurance through artificial intelligence and advanced technology, driving innovation to enhance the customer experience.
 
 
 Sompo Insurance, established in 1888 as Japan&rsquo;s first fire insurance company, has over 130 years of history. Today, it operates in 29 countries with approximately 75,000 employees worldwide. Sompo is looking for &ldquo;
 
 Data &amp; AI Scientist
 
 &rdquo; to take part in its growing team.
 
 
 
 
 
 
 Location:
 
 Istanbul (Head Office), Izmir / Ankara / Antalya (Regions) - Hybrid
 
 
 
 
 
 
 Your Profile &amp; Responsibilities
 
 
 <ul>
 <li>
 Expertise level will be determined based on the candidate as new grad, junior, mid, senior
 </li>
 <li>
 Part time option is available for PhD or master&rsquo;s students
 </li>
 <li>
 Bachelor&rsquo;s degree from a reputable university is a preferred and PhD or master&rsquo;s degree is a plus.
 </li>
 </ul>
 
 
 Statistics &amp; Data Science Expertise
 
 
 <ul>
 <li>
 Passion for statistics and a strong statistical mindset
 </li>
 <li>
 Utilize statistical techniques to analyze business problems and develop solutions
 </li>
 <li>
 Build data science models for the insurance sector, leveraging statistical methods, predictive analytics, anomaly detection, clustering, and optimization
 </li>
 </ul>
 
 
 Business &amp; Decision-Making Support
 
 
 <ul>
 <li>
 Collaborate with business and IT units to develop analytical solutions that enhance decision-making
 </li>
 <li>
 Actively communicate with business units to identify potential project opportunities
 </li>
 <li>
 Align data-driven projects with company OKRs and strategic vision
 </li>
 <li>
 Eager to learn from the data analytics team while actively sharing insights and expertise
 </li>
 </ul>
 
 
 Analytical Infrastructure &amp; Operations
 
 
 <ul>
 <li>
 Work with KNIME, SQL, Python, WTW Emblem/Radar, and similar tools
 </li>
 <li>
 Supervise and maintain the analytics data warehouse environment
 </li>
 <li>
 Oversee deployed analytics models and ensure their reliability
 </li>
 <li>
 Document solutions and processes for future reference
 </li>
 <li>
 Contribute to the productization of data science solutions
 </li>
 </ul>
 
 
 AI Research &amp; Innovation in Insurance
 
 
 <ul>
 <li>
 Conduct AI research, implement contemporary innovations, and adapt them for insurance applications
 </li>
 <li>
 Leverage Generative AI / LLM for insurance business cases
 </li>
 <li>
 Contribute to IT coding practice transformations using Generative AI / LLM
 </li>
 <li>
 Explore and utilize big data environments, languages, and tools (e.g., Cloudera, Spark, Hive, Impala) to develop solutions tailored for insurance
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER?
 
 
 <ul>
 <li>
 Hybrid Model,
 </li>
 <li>
 Employee Discounts,
 </li>
 <li>
 Company Supported Private Pension Insurance,
 </li>
 <li>
 Employee Support Program (AVITA),
 </li>
 <li>
 Social Clubs,
 </li>
 <li>
 Sompo Academy "Training and Developments Opportunities",
 </li>
 <li>
 Private Health Insurance &amp; Life Insurance,
 </li>
 <li>
 Meal Card &amp; Shuttle Opportunity,
 </li>
 <li>
 Technology &amp; Communications Benefit,
 </li>
 <li>
 MBA/Master Opportunities,
 </li>
 <li>
 Mentoring,
 </li>
 <li>
 Onboarding Programme (Orientation, Buddy etc.).
 </li>
 </ul>
 
 If you want to get more information about Sompo Sigorta, you can follow
 
 @sompokariyer
 
 
</div>

Data & AI Scientist

Amaris Consulting

<div>
 
 Job Description
 
 
 
 We are looking for a
 
 skilled and impact-oriented Senior Data Scientist
 
 to join our advanced analytics team. In this role, you will take ownership of complex, end-to-end data science projects&mdash;from design and modeling to deployment and integration. You will play a key role in shaping our airline&rsquo;s digital retail transformation and revenue optimization strategy using the latest in machine learning, AI, and real-time analytics.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Leading end-to-end data science projects, including model design, development, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborating with integration engineers to manage testing workflows and production rollouts
 </li>
 <li>
 Designing and implementing models for dynamic pricing and optimization (prior experience is a strong plus)
 </li>
 <li>
 Building ML models for dynamic bundling and product recommendation systems
 </li>
 <li>
 Contributing to revenue management initiatives as part of the Modern Airline Retailing transformation
 </li>
 <li>
 Participating in exploratory projects involving chatbots, generative media (visuals/videos), and Agentic AI, based on evolving business needs
 </li>
 <li>
 Analyzing existing datasets to develop decision support systems and advanced analytical models
 </li>
 <li>
 Performing application-level integrations when needed to support end-to-end solution delivery
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
 </li>
 <li>
 Minimum 4 years of industry experience in data science, machine learning, or applied AI roles
 </li>
 <li>
 Strong command of machine learning, predictive modeling, and optimization techniques
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with production-grade model deployment and monitoring
 </li>
 <li>
 Familiarity with SQL, Airflow, and version control tools such as Git (BitBucket)
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (e.g., Kubernetes, ideally OpenShift)
 </li>
 <li>
 Strong collaboration and communication skills to work across data, engineering, and business teams
 
 
 
 </li>
 </ul>
 
 Ready to take off with us? Apply now and be part of the journey.
 
 
 
 
 Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We review applications from all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special consideration will be given to candidates with disabilities.
 
</div>

Data Scientist (Hybrid)

Unilever

<div><div>Unilever is currently hiring for Master Data Specialist 
 
Function: Customer Operations 
Reports to: Data Governance Manager 
Scope: Regional TR 
Location: &#304;stanbul Head Office, TR 
Terms &amp; Conditions: Full time 
 
ABOUT UNILEVER 
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world. 
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don&rsquo;t believe in the &lsquo;one size fits all&rsquo; approach and instead we will equip you with the tools you need to shape your own future. 
 
JOB PURPOSE 
Unilever is the place where you can bring your purpose to life with the work that you do &ndash; creating a better business and a better world. If you are a person who is passionate about managing data, can ensure cross-functional alignment and identification of fundamental requirements for enhancing and sustaining master data quality and agility then this role is just for you! 
 
WHAT WILL YOUR MAIN RESPONSIBILITIES BE 
<ul><li>Directly responsible for being the Subject Matter Expert in SAP and MDM data processes and procedures. Lead Master data system implementations with global standards.</li><li>Based on the input provided by several stakeholders, creating the Material Master Data for all material types in SAP BPM. Performing the modification process of master data and managing product lifecycle process</li><li>Takes the lead for creation of documentation for all internal MD business processes and for the development and maintenance of master-data creation error root-cause.</li><li>Responsible for issue resolution and decision making for all Master Data inquiries.</li><li>Assists in leading, developing, and providing in-depth training to the SAP Master Data Providers on tools developed by the GMMD/PLM project to simplify the Master Data Collection and population into SAP.</li><li>Ability to review and determine issues prior to assignment and the communication skills necessary to communicate back to business.</li></ul> 

WHAT YOU NEED TO SUCCEED 
 
Experiences &amp; Qualifications 
<ul><li>Bachelor&rsquo;s degree in Computer Science is preferred</li><li>1-4 years of relevant increasing responsibility of Data Management, Demand/Supply chain processes</li><li>Knowledge of GS1 standards and Best Practices is preferred</li><li>Good overall computer skills (MS office, focus on excel)</li><li>Experience in working with SAP and BPM is preferred</li><li>Master data experience is preferred</li><li>Excellent communication and interpersonal skills, and able to work effectively with stakeholders at all levels of the organization.</li><li>Excellence in both Turkish and English communication</li></ul> 
Skills 
<ul><li>Business Acumen</li><li>Stakeholder Management</li><li>Collaboration</li><li>Service Delivery Management</li><li>Data Analytics</li><li>Change Management</li></ul> 
Leadership 
<ul><li>You are energized by delivering fantastic results. You are an example to others &ndash; both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.</li><li>As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.</li></ul> 
<ul><li>Critical SOL (Standards of Leadership) Behaviors</li></ul>
o PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner&rsquo;s mindset, using data and insight to make decisions. 
o PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience. 
o CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers. 
o PURPOSE &amp; SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever. 
o AGILITY: Explores the world around them, continually learning and developing their skills. 
 
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</div>
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their &lsquo;Whole Self&rsquo; to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.</div>

Data Specialist

<div><div>We&rsquo;re looking for Data Analyst across our business located in &#304;stanbul! 
 
Let's be the part of our <div>#TogetherUnsto</div>ppable team! 
 
DHL is a brand with a vision to become &quot;The logistics company for the world&quot;. Our promise to customers is to provide simplifying services and sustainable solutions and to always demonstrate respect without compromising on results. 
 
DHL Supply Chain is providing supply chain management and consulting like warehousing, distribution, managed transportation services and value added services in consumer, retail, life science &amp; healthcare, technology, engineering &amp; manufacturing and automotive sectors. We are active in more than 60 countries and territories, employing around 120,000 people. DHL Supply Chain located in 2400 locations all over the world and manages approx. 23 million m2 storage area. 
 
DHL Supply Chain Turkey started its operations in 2000 providing warehousing, distribution, labeling, packaging, technical services, home delivery, spare parts logistics and reverse logistics services. DHL Supply Chain Turkey serving leading companies in consumer, retail, healthcare, automotive, engineering &amp; manufacturing and technology sectors with more than 2000 employees in 370 thousand m2 warehousing space</div><div></div><div> 
Qualifications:</div>
<div></div><ul><li>Minimum 2 years of experience</li><li>Bachelor degree in Industrial Engineering, Computer Engineering, Mathematics, Physics and/or similar sciences.</li></ul>
<ul><li>Fluent in English.</li></ul>
<ul><li>Excellent communication and organizational skills.</li></ul>
<ul><li>Advanced level of MS Office, especially Excel.</li></ul>
<ul><li>Proficiency in Power BI, including:</li></ul>
<ul><li>Development of new reports</li></ul>
<ul><li>Dataset creation and ongoing maintenance</li></ul>
<ul><li>Strong command of DAX and M Query languages</li></ul>
<ul><li>Additional technical skills such as experience with databases (SQL), programming languages (preferably Python), or relevant analytics certifications are highly desirable.</li></ul>
<ul><li>Solid knowledge of data modeling with ability to design, optimize, and maintain effective data structures</li></ul>
<ul><li>Emerging expertise in AI capabilities, with a focus on prompt engineering and applying AI tools to enhance data-driven decision-making</li></ul>
<ul><li>Strong problem-solving skills in dealing with complex datasets.</li></ul>
<ul><li>Good level of statistics and statistical modeling.</li></ul>
<ul><li>Ability to adapt to evolving technologies and methodologies in the field of data analytics.</li></ul>
<div></div><div>Job Description:</div>
<div></div><ul><li>Support the design and development of enterprise-wide data analysis and reporting solutions.</li></ul>
<ul><li>Tracking new dataset and/or data column requirements with Operation Team and requesting this from IT Department to be added in to current dataset.</li></ul>
<ul><li>Maintaining Power BI dataset, creating regular dataset backups and regular dataset health checks.</li></ul>
<ul><li>Maintaining new DATA formulations and/or calculated columns according to operational KPI Criteria requirements.</li></ul>
<ul><li>Supporting Role Profiles within Power BI for visibility limitations, report accessibility, etc.</li></ul>
<ul><li>To summarize analysis results and make recommendations to senior management.</li></ul>
<ul><li>To monitor and analyze the daily KPIs closely in order to define the reason of inconsistencies and supporting Operation to maintain the reasons.</li></ul>
<ul><li>To support with the business in retrieving and maintaining customer and 3rd party data, and to define leading LSP systems as required standards.</li></ul>
<ul><li>To turn raw business data into critical and coordinated information and knowledge that can be used to make sound business decisions.</li></ul>
<ul><li>To continuously update and improve existing solutions to enhance data analysis capabilities.</li></ul></div>

LLP - Data Analyst

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

<div>
 Unilever is currently hiring for Master Data Specialist
 
 
 
 Function:
 
 Customer Operations
 
 
 
 Reports to
 
 : Data Governance Manager
 
 
 
 Scope:
 
 Regional TR
 
 
 
 Location
 
 : &Idot;stanbul Head Office, TR
 
 
 
 Terms &amp; Conditions:
 
 Full time
 
 
 
 About Unilever
 
 
 
 With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world.
 
 
 At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don&rsquo;t believe in the &lsquo;one size fits all&rsquo; approach and instead we will equip you with the tools you need to shape your own future.
 
 
 
 Job Purpose
 
 
 
 Unilever is the place where you can bring your purpose to life with the work that you do &ndash; creating a better business and a better world. If you are a person who is passionate about managing data, can ensure cross-functional alignment and identification of fundamental requirements for enhancing and sustaining master data quality and agility then this role is just for you!
 
 
 
 What Will Your Main Responsibilities Be
 
 
 
 <ul>
 <li>
 Directly responsible for being the Subject Matter Expert in SAP and MDM data processes and procedures. Lead Master data system implementations with global standards.
 </li>
 <li>
 Based on the input provided by several stakeholders, creating the Material Master Data for all material types in SAP BPM. Performing the modification process of master data and managing product lifecycle process
 </li>
 <li>
 Takes the lead for creation of documentation for all internal MD business processes and for the development and maintenance of master-data creation error root-cause.
 </li>
 <li>
 Responsible for issue resolution and decision making for all Master Data inquiries.
 </li>
 <li>
 Assists in leading, developing, and providing in-depth training to the SAP Master Data Providers on tools developed by the GMMD/PLM project to simplify the Master Data Collection and population into SAP.
 </li>
 <li>
 Ability to review and determine issues prior to assignment and the communication skills necessary to communicate back to business.
 
 
 </li>
 </ul>
 
 What You Need To Succeed
 
 
 
 Experiences &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science is preferred
 </li>
 <li>
 1-4 years of relevant increasing responsibility of Data Management, Demand/Supply chain processes
 </li>
 <li>
 Knowledge of GS1 standards and Best Practices is preferred
 </li>
 <li>
 Good overall computer skills (MS office, focus on excel)
 </li>
 <li>
 Experience in working with SAP and BPM is preferred
 </li>
 <li>
 Master data experience is preferred
 </li>
 <li>
 Excellent communication and interpersonal skills, and able to work effectively with stakeholders at all levels of the organization.
 </li>
 <li>
 Excellence in both Turkish and English communication
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Business Acumen
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Collaboration
 </li>
 <li>
 Service Delivery Management
 </li>
 <li>
 Data Analytics
 </li>
 <li>
 Change Management
 
 
 </li>
 </ul>
 Leadership
 
 
 <ul>
 <li>
 You are energized by delivering fantastic results. You are an example to others &ndash; both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.
 </li>
 <li>
 As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.
 </li>
 <li>
 Critical SOL (Standards of Leadership) Behaviors
 </li>
 <li>
 PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner&rsquo;s mindset, using data and insight to make decisions.
 </li>
 <li>
 PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience.
 </li>
 <li>
 CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers.
 </li>
 <li>
 PURPOSE &amp; SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever.
 </li>
 <li>
 AGILITY: Explores the world around them, continually learning and developing their skills.
 
 
 </li>
 </ul>
 Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
 
 
 Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their &lsquo;Whole Self&rsquo; to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
</div>

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at TurkNet
 
 
 
 We&rsquo;re looking for an experienced Data Analyst to join our game changer team.
 
 
 
 
 
 
 
 
 
 💻Responsibilities
 
 
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 Understand business objectives, data requirements and transform them into valuable insights and analytical solutions.
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 To take part in data warehouse design, modeling and analysis studies. Design and follow ETL processes using industry standards.
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 Interpret data, find patterns, anomalies, trends, etc. in large and complex data sets. Analyze results using statistical techniques.
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 Develop interactive dashboards, reports, etc. to tell stories with data.
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 Working in partnership with Data Scientists and Data Engineers to develop our data ecosystem.
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 </ul>
 
 
 
 
 
 
 
 
 👩 👨 💻 Who You Are
 
 
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 Bachelor's degree or higher in Computer Science, Computer Engineering, Industrial Engineering, Statistics, Mathematics or similar quantitative disciplines.
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 Extensive experience with SQL.
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 Very strong experience in database technologies, data warehousing, data modeling.
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 Strong experience in visualization and BI platforms. (Strategy platform is a plus)
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 Proficiency in Python and related data analysis, data manipulation libraries (Pandas, Numpy).
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 Strong skills in data analytics, statistics, and problem solving.
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 Strong communication skills as well as written and oral presentation skills. Ability to present and communicate data results with effective visuals.
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 Passionate about learning new technologies and creating innovative solutions
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 </ul>
 
 
 
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Analyst. Therefore, you should have 3+ years of experience in a Data Analyst role.
 
 
 
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
</div>

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