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data & ai solutions specialist

data analyst

analytics specialist

<div>
 
 📣We are looking for a
 
 Data Analytics Specialist
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define the roadmap for analytics initiatives, including user behavior analysis, segmentation, cohort analysis, churn prediction, and performance measurement.
 </li>
 <li>
 Collaborate with Product Managers, Marketing, Operations, and UX teams to translate insights into actionable recommendations.
 </li>
 <li>
 Develop dashboards, reporting frameworks, and key performance metrics to monitor product and business health.
 </li>
 <li>
 Oversee A/B testing design, implementation, and impact measurement, applying causal inference methods where appropriate.
 </li>
 <li>
 Partner with data engineering to maintain reliable, scalable, and high-quality data pipelines.
 </li>
 <li>
 Stay informed on industry developments in analytics, experimentation, and user behavior modeling.
 </li>
 <li>
 Being able to use the Google Analytics implentation-analysis tool, Big query &amp; looker connection effectively is important for this position.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 3+ years of experience in data analytics, business intelligence, or related roles.
 </li>
 <li>
 Proficient in SQL, Python/R, Excel, and BI tools (Looker, Tableau, Power BI, QlikSense).
 </li>
 <li>
 Strong track record in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Skilled in advanced analytics techniques, including segmentation, predictive analytics, and experimentation.
 </li>
 <li>
 Strategic thinker who can translate business problems into actionable analytics solutions.
 </li>
 <li>
 Excellent communicator, able to present complex findings in actionable ways.
 </li>
 <li>
 Passionate about mentoring a high-performing team and fostering a data-driven culture.
 </li>
 <li>
 Experience in personalization, recommendation systems, or marketing attribution analytics.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
 
 
</div>

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

<div>
 
 📣We are looking for a
 
 Business Intelligence (BI) Specialist
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 This role will be responsible for establishing the company&rsquo;s data policy and managing all Business Intelligence (BI) processes across the organization
 </li>
 <li>
 Collaborate feed all the company's reporting, work in collaboration with all departments and provide all the company's data needs.
 </li>
 <li>
 Design, develop, and maintain scalable dashboards and reports to track key business metrics (conversion, retention, revenue, etc.).
 </li>
 <li>
 Ensure BI solutions support data-driven decision-making across all functions of the e-commerce business.
 </li>
 <li>
 Partner with data engineering to maintain robust and reliable data pipelines.
 </li>
 <li>
 Promote BI best practices, including data quality, governance, and visualization standards.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 3+ years of experience in business intelligence, analytics, or data reporting roles
 </li>
 <li>
 Proficient in SQL, data visualization tools (Tableau, Power BI, Looker), and Excel.
 </li>
 <li>
 Strong track record in e-commerce, retail, or digital consumer businesses.
 </li>
 <li>
 Skilled at transforming complex data into actionable insights for business stakeholders.
 </li>
 <li>
 Strategic thinker who can align BI initiatives with business goals.
 </li>
 <li>
 Excellent communicator, able to present data clearly and impactfully.
 </li>
 <li>
 Passionate about mentoring a high-performing team and fostering a data-driven culture.
 </li>
 <li>
 Experience in predictive modeling, advanced analytics, or marketing/operational dashboards.
 </li>
 <li>
 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
 
 
 
 
</div>

Business Intelligence Specialist

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together &mdash; as individuals and as a team.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As a
 
 Data Analyst (Trendyol Ads/Influencer Analytics)
 
 at Trendyol, you will play a crucial role in driving the growth of social commerce with our influencer ecosystem and advertising products under the Trendyol Marketing Solutions portfolio. Working closely with cross-functional teams, you will be responsible for analyzing data, identifying growth opportunities, and implementing strategies to enhance influencer &amp; seller adoption, engagement, and overall performance on our platform.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design segmentation for many different business parties &amp; dimensions (seller, influencer etc. ).
 </li>
 <li>
 Work with the business stakeholders to design and execute growth opportunities for each segment
 </li>
 <li>
 Develop and maintain performance tracking dashboards to provide real-time insights on key business metrics, performance indicators, and trends.
 </li>
 <li>
 Communicate insights and recommendations to stakeholders across the organization
 </li>
 <li>
 Conduct in-depth analysis of campaigns to understand their impact on influencers' behavior.
 </li>
 <li>
 Optimize targeting, messaging, and campaign effectiveness to drive better results
 </li>
 <li>
 Collaborate with the product team to design and launch innovative advertising products that align with customer needs and business objectives
 </li>
 <li>
 Create and execute personalized communication journeys for influencers, enhancing their experience and fostering long-term engagement and loyalty
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s Degree from a reputable university preferably in Computer Science, Management Information Systems or Industrial Engineering
 </li>
 <li>
 +1 year experience in data analysis, project &amp; product management
 </li>
 <li>
 Coding skills &ndash; ability to code in one or more languages (SQL, Python)
 </li>
 <li>
 Marketing automation tools (ie Salesforce Marketing Cloud) are a plus
 </li>
 <li>
 Familiar with digital analytics tools (ie Google Analytics, Adjust) and visualisation tools (Looker, Tableau, Qlikview etc.)
 </li>
 <li>
 Strong analytical skills and experience of working with large volumes of data
 </li>
 <li>
 Enjoys the challenge of simplifying complex data, processes, and concepts to highlight key insights and guide decision making
 </li>
 <li>
 Communication Skills - Excited to work with different functions within company, creative problem solver who thrives with ambiguity
 </li>
 <li>
 A genuine interest in digital disciplines and stay up to date on trends
 </li>
 <li>
 Excellent written and verbal communication skills in English
 </li>
 <li>
 The experience range for this position is suitable for specialist/senior specialist and executive/manager (non-team management) roles
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 - Hybrid working model with flexibility:
 
 a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 
 - Customisable FlexBenefits budget:
 
 Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 
 - Well-being support:
 
 Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
 
 
 
 - Personalised training allowance and learning opportunities:
 
 Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 
 - Responsibility from day one:
 
 Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 
 - A diverse, international team:
 
 Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 
 - Opportunities to grow with the best:
 
 Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 
 - Meaningful connections beyond tasks:
 
 Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply today, we look forward to taking the next step with you.
 
 
 Want to get to know the team better first? Explore our
 
 Career Website
 
 ,
 
 LinkedIn
 
 , or
 
 YouTube
 
 to learn more about #LifeatTrendyol and how we work.
 
</div>

Trendyol Ads Data Analyst, Influencer CRM Analytics

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>

Explore 323+ Analytics specialist in Istanbul this November. Find roles across top companies and apply now to boost your career.

323 analytics specialist jobs IN Istanbul

Data Analytics Specialist

Retail & Micro Loans Data Analytics Senior Specialist / Assistant Manager

Senior Data Analyst

Business Intelligence Specialist

Trendyol Ads Data Analyst, Influencer CRM Analytics

Data & AI Solutions Specialist

Data & AI Solutions Specialist