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advanced analytics and data science - senior specialist Jobs in Istanbul

advanced analytics and data science - senior specialist

data analyst marketing

Dream Games

<div>
 
 We are looking for a Data Analyst to work closely with our marketing team. You will play a crucial role in shaping our marketing strategies through data-driven insights. You will also collaborate with cross-functional teams to enhance user acquisition and improve the effectiveness of both performance and brand marketing campaigns.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Developing and implementing marketing analytics frameworks to measure campaign effectiveness
 </li>
 <li>
 Working closely with the Performance and Brand Marketing teams and providing strategic insights based on data analysis
 </li>
 <li>
 Performing ad-hoc analyses to guide marketing decisions
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Working with external and internal data teams to enhance the attribution framework
 </li>
 <li>
 Analyzing TV advertising campaigns' effectiveness, assessing differences in performance across markets
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience using other data analysis and visualization tools, such as SQL, Python, R, Looker, or similar software, is a plus
 </li>
 <li>
 Excel expertise is required
 </li>
 <li>
 Strong analytical skills to make data-driven decisions
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Understanding and appreciation of teamwork
 </li>
 </ul>
 
 
</div>

Data Analyst, Marketing

<div>
 
 
 Digital Banking Marketing Analyst
 
 
 
 We are seeking new team members to join our Digital Banking (CEPTETEB) Mar-Tech team at T&uuml;rk Ekonomi Bankas&inodot;. This role involves analyzing digital marketing campaigns, performance reporting, and providing improvement recommendations. By joining our team, you will contribute valuable insights to understand digital marketing data and support strategic decision-making.
 
 
 
 
 
 
 What Will You Do?
 
 
 <ul>
 <li>
 Measure the effectiveness of marketing strategies through data analysis and reporting,
 </li>
 <li>
 Track user engagement and conversion rates for digital banking products,
 </li>
 <li>
 Analyze the performance of digital marketing campaigns,
 </li>
 <li>
 Create data-driven reports using digital marketing tools and analytics platforms,
 </li>
 <li>
 Interpret data to provide actionable insights for strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 What Are We Looking For?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Economics, or a related field,
 </li>
 <li>
 Min. 2 years experience in data analysis, marketing analytics or digital marketing role,
 </li>
 <li>
 Banking experience is a plus,
 </li>
 <li>
 Proficiency in SQL,SAS and/or other data analysis tools,
 </li>
 <li>
 Familiarity with digital marketing tools such as Adjust, Google Analytics, Countly, etc..
 </li>
 <li>
 Creative and results-driven work approach,
 </li>
 <li>
 Strong data analysis capabilities, analytical thinking and problem-solving abilities,
 </li>
 <li>
 Fluency in English both written and spoken.
 </li>
 </ul>
 
 
 
 
 Strong communication skills and ability to perform in teams as well as individual.
 
 
 If you are interested in becoming a part of our team, we look forward to receiving your application.
 
</div>

Digital Banking Marketing Analyst

Lonca

<div>
 
 
 Business Analyst
 
 
 
 We are Lonca; a seed stage, fintech-enabled B2B marketplace connecting fashion boutiques with wholesale brands. We are envisioning a new generation wholesale fashion trade by digitizing the entire procurement process of boutiques from product discovery to last-mile delivery and offering fintech services to unbanked boutiques.
 
 
 
 
 
 We recently closed our post-seed round and we are currently connecting 150,000+ boutiques from 75+ countries with Turkish wholesale suppliers.
 
 
 
 
 
 We are three co-founders with experience from a top MBA school, two unicorn startups, and top-tier consulting firms. We are looking to extend our product team with a business analyst.
 
 
 
 
 
 
 Who will love this job:
 
 
 <ul>
 <li>
 Want to be a part of the founding team of an early-stage startup with huge upside
 </li>
 <li>
 Looking to learn as much as possible in a very short period of time
 </li>
 <li>
 Interested in e-commerce and want to be part of many functions
 </li>
 <li>
 Create his/her own task rather than waiting for a to-do list
 </li>
 </ul>
 
 
 
 
 
 What we will provide:
 
 
 <ul>
 <li>
 Competitive compensation with $2-3k net salary
 </li>
 <li>
 Life-long friends and a high-growth startup environment
 </li>
 <li>
 Opportunity to build a business with the best and brightest people
 </li>
 <li>
 A competitive salary with an employee stock option
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll be responsible for:
 
 
 <ul>
 <li>
 Manage our Tableau dashboards and data flows end-to-end
 </li>
 <li>
 Run critical analyses for all of our functions including operations (shipment day analysis), merchandise (sales per vendor) and marketing (ROI for marketing channels)
 </li>
 <li>
 Manage our CRM on Hubspot, including outbound Whatsapp/email messaging and their flows
 </li>
 <li>
 Monitor paid and unpaid marketing campaigns, including Google &amp; Meta Ads and SEO marketing
 </li>
 </ul>
 
 
 
 
 
 What we look for in a candidate:
 
 
 <ul>
 <li>
 Experience in Tableau or similar data visualisation tools
 </li>
 <li>
 Experience with CRM platforms, preferably Hubspot
 </li>
 <li>
 Familiarity with digital marketing channels (Google Ads, Meta Ads, SEO) is a plus
 </li>
 <li>
 Former experience in e-commerce is a plus
 </li>
 <li>
 Full in-office commitment (Ka&gbreve;&inodot;thane, Hamidiye Mahallesi)
 </li>
 </ul>
 
 
 
 
 
 How will the recruiting process look like:
 
 
 <ul>
 <li>
 
 Application:
 
 Send us your CV so that we can get to know you better
 </li>
 <li>
 
 Business Interview:
 
 Our business team will send you a business case interview so that you can simulate a task you will get at Lonca
 </li>
 <li>
 
 Culture Interview:
 
 We will learn about yourself and your career goals to understand whether you will be happy at Lonca
 </li>
 <li>
 
 Office day &amp; Final Interview:
 
 We will invite you to our office to let you enjoy one day at Lonca. Our executive team will meet with you as well
 </li>
 <li>
 
 Welcome to Lonca:
 
 Welcome onboard! We are looking forward to your first day
 </li>
 </ul>
</div>

Business Analyst

Mimeda

<div>
 
 We are Turkey's first retail media company founded by Migros and have more than 15 marketing and communication channels. In-store digital screens, store entrance sensors&amp;checkout areas, online retail areas, personalized advertising areas, and new digital platforms such as Migros TV can be counted among these channels. Our ultimate goal is to enable our customers to see ads that interest them and to engage with the brands they want.
 
 
 
 
 
 We are pioneering the future of retail media in Turkey. Bridging the gap between brands, retailers, and consumers, we harness the power of technology, data, and digital innovation to create meaningful, measurable media experiences.
 
 
 
 
 
 We are now seeking a
 
 Sr. Data Analyst
 
 to join our dynamic team and help shape the legal infrastructure of this fast-growing, future-facing business.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Industrial Engineering, Computer Engineering, Mathematics, Statistics, MIS, or a related quantitative field,
 </li>
 <li>
 Minimum of
 
 4&ndash;6 years
 
 of hands-on experience in
 
 Data Analytics, Customer Insights, Data Science, or similar roles
 
 , with a
 
 proven track record in customer segmentation, behavioral modeling, and personalized targeting
 
 ,
 </li>
 <li>
 Strong proficiency in
 
 SQL and Python
 
 (experience with BigQuery, MySQL, Oracle SQL, PostgreSQL is a plus),
 </li>
 <li>
 
 Proven experience in developing and operationalizing segmentation models
 
 , such as RFM, behavioral clustering, predictive scoring (e.g., churn, response, conversion), and lifecycle modeling
 </li>
 <li>
 Hands-on skills in
 
 machine learning techniques
 
 , including supervised and unsupervised learning (e.g., regression, classification, clustering), and experience translating these techniques into actionable business strategies,
 </li>
 <li>
 Hands-on experience with data visualization tools (e.g., Looker, Tableau, Google Analytics, Power BI, MicroStrategy, etc.).
 </li>
 <li>
 Proactively suggest new data tools, infrastructure, or automation pipelines to improve scalability and performance,
 </li>
 <li>
 Analytical mindset, ability to handle large-scale datasets, and skill in translating insights into business impact,
 </li>
 <li>
 Ability to extract actionable insights from data and communicate them clearly to relevant stakeholders,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You Will Do?
 
 
 
 
 
 <ul>
 <li>
 Analyze first, strategize &amp; give insight second, and finally implement,
 </li>
 <li>
 Translate complex business questions into structured data problems and deliver
 
 customer-focused, strategic insights
 
 to drive growth and retention,
 </li>
 <li>
 Embrace a forward-thinking approach to address future data-related needs of the domain and propose new data initiatives/tools,
 </li>
 <li>
 Design and maintain scalable
 
 dashboards and monitoring tools
 
 that support KPI tracking across customer segments and lifecycle stages,
 </li>
 <li>
 Develop
 
 advanced customer analytics
 
 solutions such as RFM segmentation, behavioral segmentation, market basket analysis, and lifetime value (LTV) prediction,
 </li>
 <li>
 Coordinate with technology teams to automate and optimize data analysis infrastructure and processes,
 </li>
 <li>
 Collaborate with Marketing, CRM, Growth, and Product teams to deliver
 
 actionable and measurable data-driven
 
 recommendations,
 </li>
 </ul>
 
 
</div>

Senior Data Analyst

Fundraise Up

<div>
 
 Highlights:
 
 
 
 
 Role:
 
 Product Analyst
 
 
 
 Location:
 
 Remote (CET hours preferred)
 
 
 
 Compensation:
 
 $3,200 - $4,300 + stock options
 
 
 
 Language:
 
 Russian-speaking team; Strong English required (B2)
 
 
 
 About Fundraise Up
 
 
 
 We&rsquo;re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
 
 
 Our platform is trusted by many of the world&rsquo;s leading nonprofits, including UNICEF, the Alzheimer&rsquo;s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we&rsquo;re recognized not just for our impact - but for the quality of the product we deliver.
 
 
 
 A Truly Global Product
 
 
 
 We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
 
 
 We&rsquo;re building a
 
 large and complex product ecosystem
 
 that serves nonprofits, donors, and partners around the world. The platform includes a modern
 
 checkout experience and customizable widgets
 
 (each a standalone SPA),
 
 donor, organization, and partner portals
 
 ,
 
 admin tools
 
 , and several internal apps.
 
 
 Our backend is powered by
 
 Node.js
 
 (Koa, NestJS) and
 
 MongoDB
 
 . The frontend stack includes
 
 Webpack, Vue.js, and React
 
 , with nearly all code written in
 
 TypeScript
 
 . For high-throughput messaging and background processing, we use
 
 Kafka
 
 (for millions of events) and
 
 Bull (Redis)
 
 . Analytics data is stored in
 
 ClickHouse
 
 , and we use
 
 Elasticsearch
 
 for search.
 
 
 
 The Team
 
 
 
 We are a distributed team of 120+ product professionals, including 35+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.
 
 
 Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You&rsquo;ll be joining a team where quality, mentorship, and mutual respect come first.
 
 
 
 About The Role
 
 
 
 As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle&mdash;from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
 </li>
 <li>
 Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
 </li>
 <li>
 Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
 </li>
 <li>
 Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of professional experience as a Data Analyst or Product Analyst.
 </li>
 <li>
 A strong foundation in mathematical statistics and probability theory.
 </li>
 <li>
 Advanced proficiency in SQL.
 </li>
 <li>
 Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
 </li>
 <li>
 Hands-on experience with BI tools (Tableau, Power BI, Metabase).
 </li>
 <li>
 Strong written English for clear documentation and communication.
 </li>
 <li>
 A proactive, detail-oriented mindset with a passion for solving complex problems.
 
 
 </li>
 </ul>
 
 Our Tech Stack
 
 
 
 <ul>
 <li>
 Languages &amp; Libraries: Python
 </li>
 <li>
 Databases: ClickHouse, MongoDB, PostgreSQL
 </li>
 <li>
 BI &amp; Visualization: Tableau, Grafana
 </li>
 <li>
 Orchestration: Airflow
 </li>
 <li>
 Version Control: Git
 
 
 </li>
 </ul>
 
 Bonus points
 
 
 
 <ul>
 <li>
 Curiosity and a hypothesis-driven mindset
 </li>
 <li>
 Ability to communicate complex analytical concepts to non-technical audiences
 </li>
 <li>
 Detail-oriented with a strong sense of ownership
 </li>
 <li>
 Comfort working in fast-paced, data-rich environments
 
 
 </li>
 </ul>
 
 Why work with us
 
 
 
 <ul>
 <li>
 A strong, collaborative product team that owns what it builds
 </li>
 <li>
 Clear product vision and access to real customer feedback from global nonprofit leaders
 </li>
 <li>
 Flat structure: no politics, just great work with great people
 </li>
 <li>
 Transparent company culture-we share how we&rsquo;re growing, where revenue comes from, and what&rsquo;s next
 </li>
 <li>
 Long-term focus: we offer equity options and value sustained, meaningful contribution
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 31 days off
 </li>
 <li>
 100% paid telemedicine plan
 </li>
 <li>
 Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
 </li>
 <li>
 English learning courses
 </li>
 <li>
 Relevant professional education
 </li>
 <li>
 Gym or swimming pool
 </li>
 <li>
 Co-working
 </li>
 <li>
 Remote working
 </li>
 <li>
 Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
 </li>
 </ul>
</div>

Product Analyst, DX

Agito Software & Consulting

<div>
 
 We are looking for an experienced Business Analyst in the insurance sector to join our Digital Transformation department. The ideal candidate will analyze stories and acceptance criteria in the backlog created by the Product Owner and ensure that software development aligns with these acceptance criteria.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 <ul>
 <li>
 Review and thoroughly understand stories and acceptance criteria in the backlog.
 </li>
 <li>
 Support the implementation of stories in accordance with acceptance criteria using business analysis skills.
 </li>
 <li>
 Execute test scenarios, record identified defects and follow up on resolutions.
 </li>
 <li>
 Test REST services developed with a micro services architecture using tools such as Swagger or Postman and perform front-end testing.
 </li>
 <li>
 Ensure tasks are complete and ready for sprint reviews and present them effectively.
 </li>
 <li>
 Interpret insurance processes and product logic accurately to ensure test correctness.
 </li>
 <li>
 Prepare and maintain user guides and other documentation materials.
 </li>
 <li>
 Conduct research and data collection processes as requested by the Product Owner.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Industrial Engineering, Computer Engineering, Mathematical Engineering, Business Engineering, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience as a Business Analyst in the insurance sector.
 </li>
 <li>
 Knowledge of Agile/Scrum methodologies and backlog/acceptance criteria processes.
 </li>
 <li>
 Ability to analyze stories and acceptance criteria and verify software accuracy.
 </li>
 <li>
 Experience testing REST services and working with JSON data structures.
 </li>
 <li>
 Extensive experience with frontend and backend testing and defect identification.
 </li>
 <li>
 Strong analytical thinking, attention to detail, and problem-solving skills.
 </li>
 <li>
 Strong documentation and communication skills.
 </li>
 <li>
 Experience with the Figma design tool.
 </li>
 </ul>
 
 
 
 
 
 As Agito, we care about your Personal Data Security.
 
 
 
 
 Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 https://www.agito.com.tr/iletisim-formu-aydinlatma-metni
 
 
 
 
</div>

Vertigo

<div>ABOUT VERTIGO GAMES
We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150+ million fans worldwide!
Check out our smash-hit games:
 Critical Strike<ul><li>&#65039; Polygun Arena</li></ul>
Now, we're looking for a passionate Data Analyst to join our dynamic team in Istanbul. This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working 5 days a week from our office in Levent.
Don't miss the chance to shape the future of gaming and make your mark on millions of players worldwide! 
Responsibilities<ul>
<li>
Examine user engagement patterns and purchase characteristics to understand player behavior and preferences within our games.</li>
<li>Investigate users&rsquo; events to identify the elements causing frustration.</li>
<li>Work closely with the Marketing and Product teams to provide data-driven insights that inform strategy and decision-making processes.</li>
<li>Analyze how users react to new features and in-game events to evaluate their effectiveness and identify areas for improvement.</li>
</ul>
Requirements<ul>
<li>
Proficiency in data analysis tools such as SQL, R, Python, or similar.</li>
<li>Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights.</li>
<li>Excellent communication and collaboration skills to work effectively with cross-functional teams.</li>
<li>Passion and interest for mobile gaming industry trends and user behavior is a plus.</li>
</ul>
Benefits<ul>
<li>
Competitive net salary</li>
<li>Meal Card</li>
<li>Complementary Health Insurance</li>
<li>Monthly-based financial support for educational platforms</li>
<li>Company equity: Share in the company to make you an owner, not just an employee</li>
<li>Birthday leave</li>
<li>Retention bonus</li>
<li>Referral bonus</li>
<li>5 days of annual leave for the first year
 
 
Interviewing
</li>
</ul><ul><li>Application Submission: You can apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself. If your profile matches our requirements, we'll reach out to you.</li>
<li>People &amp; Culture Interview: You'll meet with our People &amp; Culture team to talk about your background, your goals, and how we fit in. This meeting will take place online via Google Meet.</li>
<li>Case Study: You&rsquo;ll take on a practical task related to the role to demonstrate your skills in a case study.</li>
<li>Technical Interview: You&rsquo;ll have an in-depth discussion of the case and meet the lead of the relevant department at our Istanbul office.</li>
<li>Final Meeting: You&rsquo;ll have a face-to-face meeting with our founders to discuss further details at our Istanbul office.</li></ul></div>

Data Analyst

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831 data analyst marketing jobs IN Istanbul

Data Analyst, Marketing

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