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data & ai solutions specialist

data analytics specialist

Odeabank

<div>
 
 
 We are looking for an Odealist to create value together!
 
 
 
 
 
 
 We work in a world where new ideas, bold steps, and learning happen every day. At Odeabank, we measure success not only by results but also by
 
 learning, growing, and creating value.
 
 
 
 We work in a culture that is collaborative, innovative, and open to different perspectives. Everd day, we move forward together for a better experience and a stronger future.
 
 
 
 
 
 
 What Can You Expect?
 
 
 
 &bull;
 
 A culture that supports your development:
 
 Training, mentoring, and continuous learning opportunities
 
 
 &bull;
 
 Working model:
 
 A remote working model environment that offers both productivity and balance
 
 
 &bull;
 
 Inclusive team structure:
 
 An organizational culture shaped by openness, respect, authenticity, and enthusiasm
 
 
 &bull;
 
 Sustainable vision:
 
 Commitment to gender equality, diversity, and sustainability
 
 
 &bull;
 
 Supportive leadership:
 
 Managers who value your ideas and encourage sharing
 
 
 
 
 
 
 About the Role
 
 
 
 To optimize retail loan collection performance through analytical models, data analysis, and actionable insights. Develop data-driven strategies to improve collection efficiency, enhance risk segmentation, and support operational effectiveness.
 
 
 
 
 <ul>
 <li>
 Develop, monitor, and update scorecards, segmentation models, and forecasting algorithms used in retail loan collection processes
 </li>
 <li>
 Prepare daily, weekly, and monthly performance reports, present trend analyses to senior management
 </li>
 <li>
 Support strategic action plans with data analysis to reduce delinquency and default rates
 </li>
 <li>
 Collaborate closely with collections operations teams to implement data-driven action plans
 </li>
 <li>
 Design predictive models using machine learning and advanced analytics to detect delinquency risk in advance
 </li>
 <li>
 Responsible for modifying and updating decision support system software and collection rules
 </li>
 <li>
 Ensure compliance with regulatory and internal audit requirements in data management and reporting processes
 </li>
 <li>
 Conduct A/B testing and optimization initiatives to improve collection efficiency via digital channels
 </li>
 </ul>
 
 
 
 
 
 General Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Econometrics, Mathematics, Engineering, Computer Science or a related field
 </li>
 <li>
 Preferably max 6 years experienced in collections analytics, risk analysis, or credit risk management within the banking sector
 </li>
 <li>
 Experience in data analysis and modeling using SQL, Python, or R
 </li>
 <li>
 Advanced skills in Excel and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Preferably proficient in written and reading English
 </li>
 <li>
 Continues to learn while sharing their experience
 </li>
 <li>
 Can communicate effectively in teamwork
 </li>
 <li>
 Follows innovations and adapts quickly to change
 </li>
 <li>
 Reflects analytical thinking and problem-solving skills in their work
 </li>
 <li>
 A proactive and solution-oriented professional who contributes to the corporate culture
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Private Mixed Health Insurance for you and (if applicable) your spouse and children
 </li>
 <li>
 Corporate Life Insurance
 </li>
 <li>
 Remote Work Support
 </li>
 <li>
 Meal Allowance
 </li>
 <li>
 Birthday Leave
 </li>
 <li>
 Shuttle Service for Head Office Employees- (Transportation Allowance for Branch Employees)
 </li>
 </ul>
 
 
 
 
 
 Why Odeabank?
 
 
 
 &bull; Innovative business model focused on investment and technology
 
 
 &bull; Odealist teams shaping not only today but also the future
 
 
 &bull; Corporate discount agreements with O'Deal
 
 
 &bull; Social events, clubs, and employee communities
 
 
 &bull; Special occasion celebrations
 
 
 &bull; Recognition and reward mechanisms that regularly highlight achievements
 
 
 &bull; Well-being seminars
 
 
 
 
 
 
 If you want to grow in an Odealist culture
 
 , complete your application now and join us on our journey! 💫
 
 
 
 
 
 
 *The hiring process at Odeabank includes Human Resources Assessment, relevant manager interviews, and competency-based evaluations.
 
 
 
 
 The offer process begins for candidates who successfully complete all stages.
 
 
 
 
 
 
 
 **Under the Personal Data Protection Law No. 6698, your personal data is processed solely for recruitment purposes during the application process.
 
 
 
 
 Detailed information can be found at
 
 Odeabank Personal Data Protection Disclosure Text.
 
 
 
 
 
</div>

Retail & Micro Loans Data Analytics Senior Specialist / Assistant Manager

OneIngage

<div>
 
 
 About the Position:
 
 
 
 
 
 
 This role, based within
 
 OneIngage&rsquo;s Data Analytics team
 
 , is responsible for managing end-to-end measurement and data analytics processes across brands&rsquo; digital assets.
 
 
 The main focus of the role is the setup of web and mobile measurement infrastructures, integration with marketing platforms, transforming collected data into meaningful insights, and reporting actionable results.
 
 
 The
 
 Senior Data Analytics Specialist
 
 combines strong technical expertise with analytical thinking to help brands strengthen their data-driven decision-making culture.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Minimum
 
 3 years of experience
 
 in digital measurement, data analysis, or a related field,
 </li>
 <li>
 Advanced knowledge of
 
 Google Analytics 4
 
 and
 
 Google Tag Manager
 
 ,
 </li>
 <li>
 Hands-on experience with
 
 mobile measurement tools
 
 (e.g., Adjust, Appsflyer),
 </li>
 <li>
 Strong understanding of
 
 marketing platforms&rsquo; measurement ecosystems
 
 (e.g., Google Ads, Meta, TikTok),
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and practical experience working with
 
 BigQuery
 
 ,
 </li>
 <li>
 Experience in
 
 data visualization and reporting
 
 using
 
 Looker Studio
 
 or similar BI tools,
 </li>
 <li>
 Familiarity with
 
 GCP (Google Cloud Platform)
 
 products,
 </li>
 <li>
 Ability to derive
 
 strategic insights from data
 
 and communicate them clearly and effectively.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design web and mobile measurement strategies, define event structures, and manage implementation and testing using tools such as
 
 GA4, GTM, Adjust
 
 , etc.,
 </li>
 <li>
 Manage measurement, data transfer, and
 
 pixel / CAPI / Events API
 
 integrations across marketing platforms (
 
 Google Ads, Meta, TikTok, DV360
 
 , etc.),
 </li>
 <li>
 Conduct
 
 audit and validation processes
 
 to ensure the accuracy and completeness of existing measurement infrastructures, identifying improvement opportunities,
 </li>
 <li>
 Perform
 
 data querying, cleaning, modeling, and analysis
 
 on
 
 BigQuery
 
 ,
 </li>
 <li>
 Generate actionable
 
 insights and performance outcomes
 
 from measurement data,
 </li>
 <li>
 Support clients&rsquo;
 
 ad-hoc reporting needs
 
 with timely and accurate data solutions,
 </li>
 <li>
 Design
 
 reports and dashboards
 
 (via
 
 Looker Studio, Supermetrics, Adverity
 
 , etc.) that contribute to data-informed decision-making,
 </li>
 <li>
 Contribute to
 
 advanced analysis and automation projects
 
 using
 
 GCP
 
 products,
 </li>
 <li>
 Play an active role in cross-functional projects by combining technical and analytical perspectives.
 </li>
 </ul>
 
 
</div>

Senior Data Analyst

Crystal Intelligence

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

Data Analytics Intern - Stablecoin Insights (Remote)

Armut Teknoloji AS

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

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

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

Data & AI Solutions Specialist

Armut

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

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

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

Sabanci University

<div>
 
 We are looking for a Data Analyst and Scientist with the following qualifications to work in the Sabanc&inodot; University Digital Transformation Unit.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Proficiency in programming languages such as SQL, Python (pandas, scikit-learn, NumPy, matplotlib), and R,
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, and Microsoft Fabric,
 </li>
 <li>
 Strong knowledge of statistical modeling and machine learning algorithms,
 </li>
 <li>
 Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Microsoft Azure),
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail,
 </li>
 <li>
 Preferably, hands-on experience with machine learning frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Preferably, experience in Agent Projects,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience or demonstrated interest in the education sector is an advantage,
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Analyze internal datasets and provide data-driven insights to support business needs,
 </li>
 <li>
 Design and develop dashboards and visual reports using tools such as Power BI, Fabric, or Tableau,
 </li>
 <li>
 Create statistical analyses and basic machine learning models including regression, classification, and clustering,
 </li>
 <li>
 Perform data analysis and modeling using Python or R,
 </li>
 <li>
 Monitor and improve the performance of developed models,
 </li>
 <li>
 Lead and coordinate Agent Projects,
 </li>
 <li>
 Collaborate closely with business units to support data-driven decision-making processes,
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 <ul>
 <li>
 Working in Sabanc&inodot; University Campus with collaborative work environment and gym &amp; social areas,
 </li>
 <li>
 A competitive salary and a robust compensation package including, employer sponsored family included private health insurance, life insurance and private pension benefits,
 </li>
 <li>
 Hybrid working,
 </li>
 <li>
 Performance Reward policy,
 </li>
 <li>
 Transportation and university cafeteria,
 </li>
 <li>
 Meal allowance, communication and internet support for hybrid working days,
 </li>
 <li>
 Opportunity to study a master&rsquo;s degree at the university and Erasmus Staff Mobility Programme,
 </li>
 <li>
 English language course,
 </li>
 <li>
 On-campus healthcare, library,
 </li>
 <li>
 Several discounts including pre-school and SA Group company services,
 </li>
 <li>
 Social clubs and activities.
 </li>
 </ul>
 
 
 
 
 ''Sabanc&inodot; University is committed to the principle of equal opportunity and equal treatment in education and employment. The University respects all individuals without any discrimination of gender, religion, national and ethnic origin, race, color, physical disability, physical appearance, marital or parental status, sexual orientation, age, or political affiliation in the administration of its educational, admission and employment policies, and its scholarship and university-sponsored programs.''
 
</div>

Data Analyst and Scientist

Scorp

<div>
 
 
 **Only full-time position is available.**
 
 
 
 
 
 
 
 **USD indexed salary.**
 
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 Throughout last year, Scorp Inc. has made a big leap and reached over 100 million users with over 10 mobile products! We continue to grow and develop new social apps. As our userbase grows, there comes the challenge of scaling. With this challenge, we've recently started the search for amazing people to extend our team. We're looking for engineers who are excited about the challenge of building and scaling systems that serve information 24/7 for MILLIONS of daily active users worldwide.
 
 
 
 
 
 We present you the opportunity to become a part of our talented team and have direct access to work on large-scale systems that reach millions of people, daily. If you enjoy dealing with large-scale problems, ambitious to solve challenging problems and want your work to reach a massive global audience, you are an ideal candidate for our team.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, or Mathematics
 </li>
 <li>
 At least 2 years of experience as a Data Scientist or Data Analyst
 </li>
 <li>
 Strong knowledge of SQL
 </li>
 <li>
 Strong knowledge of Python and commonly used data science , statistics, and visualization libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Seaborn)
 </li>
 <li>
 Experience with cloud platforms such as AWS, or Google Cloud is a plus
 </li>
 <li>
 Experience with BigQuery is a plus
 </li>
 <li>
 Experience with Looker is a plus
 </li>
 <li>
 Experience working with mobile app data is a plus
 </li>
 <li>
 Strong team player with a results-oriented mindset and an analytical approach
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Create complex analytical SQL queries
 </li>
 <li>
 Work with the management and product teams to extract, interpret, and present insights from data to support their decisions
 </li>
 <li>
 Design A/B tests and interpret the findings
 </li>
 <li>
 Develop custom quantitative analyses, models and ad-hoc reports to support decision-making
 </li>
 <li>
 Build predictive models to optimize user experience
 </li>
 <li>
 Monitor and analyze model performance and accuracy
 </li>
 <li>
 Collaborate with business and engineering teams
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Scorp Inc.?
 
 
 
 
 
 
 🚀
 
 Join Our Team, Enjoy the Perks!
 
 🌟
 
 
 We&rsquo;re not just a company&mdash;we&rsquo;re a community that values growth and happiness! Here&rsquo;s what you can look forward to when you join us:
 
 
 
 
 
 💰
 
 USD-Indexed Salary
 
 
 
 🌎
 
 Being a Part of a Hyper-Growth Global Startup
 
 &ndash; Build the future with a dynamic team!
 
 
 🚀
 
 Endless Self-Improvement Opportunities for Managing High-Scale Problems
 
 &ndash; We&rsquo;re building large-scale systems that used by millions! Keep learning and evolving!
 
 
 🌍
 
 Multicultural Work Environment
 
 &ndash; Be inspired by diverse perspectives!
 
 
 🌟
 
 Contribute to Innovative Local &amp; Global Projects
 
 &ndash; Grow both personally and professionally while making an impact!
 
 
 🧘 &male;️
 
 Meditopia: PT, Dietitian &amp; Therapy Support
 
 &ndash; Take care of both body and mind!
 
 
 🎯
 
 Seamless Onboarding Process with a Scorpion Buddy:
 
 A Warm Welcome &amp; Smooth Transition!
 
 
 🎉
 
 Social clubs, celebrations, and events to help you balance work and fun.
 
 
 
 
 
 
 Join us and grow together! 💼🚀
 
 
 
 
 
 
 LinkedIN &uuml;zerinden elektronik olarak iletece&gbreve;iniz ki&scedil;isel bilgileriniz, 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu ve ilgili mevzuat &ccedil;er&ccedil;evesinde, Scorp taraf&inodot;ndan yaln&inodot;zca &Scedil;irketimizden talep etti&gbreve;iniz hizmetlerin sunulabilmesi ve bu hizmetlerin s&uuml;reklili&gbreve;inin sa&gbreve;lanmas&inodot; ama&ccedil;lar&inodot;yla saklanabilecek, i&scedil;lenebilecek ve verilen servisin gerektirdi&gbreve;i hallerde yurti&ccedil;inde ve yurtd&inodot;&scedil;&inodot;nda yerle&scedil;ik 3. ki&scedil;ilerle payla&scedil;&inodot;labilecek olup, ki&scedil;isel verileriniz hi&ccedil;bir &scedil;ekilde hukuka ve d&uuml;r&uuml;stl&uuml;k kural&inodot;na ayk&inodot;r&inodot; &scedil;ekilde ba&scedil;kalar&inodot; ile payla&scedil;&inodot;lmayacak ve i&scedil;leme sebebi d&inodot;&scedil;&inodot;nda ba&scedil;ka ama&ccedil;larla kullan&inodot;lmayacakt&inodot;r. Ki&scedil;isel verileriniz yaln&inodot;zca i&scedil;leme amac&inodot;n&inodot;n gerekli k&inodot;ld&inodot;&gbreve;&inodot; s&uuml;re boyunca saklanacak olup talebiniz &uuml;zerine silinecek veya imha edilecektir. Bu i&scedil;e ba&scedil;vurarak, &ouml;zge&ccedil;mi&scedil;inizin veri taban&inodot;m&inodot;zda yer almas&inodot;n&inodot; kabul etmi&scedil; oldu&gbreve;unuzu bildirmek isteriz.
 
 
</div>

Data Analyst

Explore 680+ Data analytics specialist in Istanbul this November. Find roles across top companies and apply now to boost your career.

680 data analytics specialist jobs IN Istanbul

Retail & Micro Loans Data Analytics Senior Specialist / Assistant Manager

Senior Data Analyst

Data Analytics Intern - Stablecoin Insights (Remote)

Data & AI Solutions Specialist

Data & AI Solutions Specialist

Data Analyst and Scientist

Data Analyst