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Bahçıvan Gıda

<div>
 
 
 DATA ANALYST INTERN (HYBRID &amp; Part-Time)
 
 
 
 (Bah&ccedil;&inodot;van G&inodot;da &ndash; Istanbul Headquarters)
 
 
 Overview
 
 
 Bah&ccedil;&inodot;van G&inodot;da, one of Turkey&rsquo;s leading dairy producers with an innovation-focused culture, is seeking a Data Analyst Intern to support our Strategy Department.
 
 
 This hybrid role combines on-site work at our Istanbul headquarters with remote flexibility, offering a strong hands-on learning environment.
 
 
 You will help build real-time dashboards for Finance, Production, Sales, and Supply Chain teams, while supporting the company&rsquo;s digital transformation and analytics initiatives.
 
 
 Open to undergraduate (3rd&ndash;4th year) and graduate (Master&rsquo;s) students.
 
 
 
 Roles and Responsibilities
 
 
 
 1. Dashboard Development
 
 <ul>
 <li>
 Build and maintain real-time dashboards for various departments
 </li>
 <li>
 Support the Strategy Department in KPI design and data visualization
 </li>
 </ul>
 
 2. Data Extraction &amp; Processing
 
 <ul>
 <li>
 Extract, clean, and structure data using SAP HANA
 </li>
 <li>
 Contribute to automated reporting workflows
 </li>
 </ul>
 
 3. BI &amp; Reporting
 
 <ul>
 <li>
 Create and update reports on SAP BI
 </li>
 <li>
 Design interactive dashboards in Power BI
 </li>
 </ul>
 
 4. Data Modeling &amp; Analysis
 
 <ul>
 <li>
 Assist with SQL-based data extraction and light data modeling
 </li>
 <li>
 Support KPI tracking, trend analysis, and strategy presentations
 </li>
 </ul>
 
 5. Cross-Functional Collaboration
 
 <ul>
 <li>
 Work closely with Strategy, Finance, Production Planning, Sales, and Logistics teams
 </li>
 <li>
 Translate business needs into analytical outputs
 </li>
 </ul>
 
 
 Qualifications and Skills
 
 
 
 Education
 
 
 &bull; 3rd&ndash;4th year undergraduate or graduate (Master&rsquo;s) student
 
 
 &bull; Preferred fields: Engineering, Industrial Engineering, Data Science, Statistics, Computer Science, Business Analytics, Economics
 
 
 Technical Skills
 
 
 &bull; Basic SQL knowledge (preferred)
 
 
 &bull; Familiarity or interest in Power BI
 
 
 &bull; Interest in SAP systems (SAP HANA, SAP BI)
 
 
 &bull; Strong Excel knowledge
 
 
 Personal Traits
 
 
 &bull; Strong analytical and problem-solving mindset
 
 
 &bull; Detail-oriented and eager to learn
 
 
 &bull; Good communication and collaboration skills
 
 
 &bull; Ability to work in a hybrid, fast-paced environment
 
 
 Language Skills
 
 
 &bull; Ability to read and understand English technical documentation
 
 
 
 
 
 
 Why Bah&ccedil;&inodot;van G&inodot;da?
 
 
 
 &bull; Hybrid work model: Flexibility + structured professional experience
 
 
 &bull; Direct exposure to the Strategy Department
 
 
 &bull; Hands-on experience with SAP, SQL, Power BI, and real corporate data
 
 
 &bull; Opportunity to make meaningful contributions to company-wide reporting
 
 
 &bull; Potential for transition into full-time analytics/strategy roles
 
 
 We look forward to your application!
 
 
 
</div>

Data Analyst

MINDPICKED

<div>
 
 MINDPICKED is a new generation recruitment firm providing companies solutions in their search for talent, and talents opportunities who wants to reach their potential.
 
 
 
 
 
 We specialize in middle and senior management recruitment in various sectors and countless job functions.
 
 
 
 
 
 We are looking for a
 
 Data Analyst Specialist
 
 for our client. Our client is a leading global marketing and communications group with a strong creative and digital footprint across multiple markets.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Data Science, Computer Science, Engineering, or a related field,
 </li>
 <li>
 Strong experience with Google Analytics and Adobe Analytics,
 </li>
 <li>
 Familiarity with Google Tag Manager and tracking implementation best practices,
 </li>
 <li>
 Hands-on expertise in data modeling, statistical analysis, and regression techniques,
 </li>
 <li>
 Proficiency in SQL, data querying, and data transformation,
 </li>
 <li>
 Strong understanding of media measurement, attribution models, and ad performance analysis (Google &amp; Meta),
 </li>
 <li>
 Experience with data visualization tools: Power BI and Looker Studio (mandatory),
 </li>
 <li>
 Ability to interpret, structure, and visualize complex datasets for non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain dashboards and performance reports using Power BI and Looker Studio,
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and optimization opportunities across digital channels,
 </li>
 <li>
 Conduct regression analyses, statistical modeling, and data forecasting to support business decisions,
 </li>
 <li>
 Lead measurement and attribution processes for Meta Ads, Google Ads, and other performance media platforms,
 </li>
 <li>
 Utilize Google Analytics, Adobe Analytics, and related tools to track customer behavior and marketing effectiveness,
 </li>
 <li>
 Collaborate with data engineering teams to ensure data pipelines, structures, and tracking frameworks operate smoothly,
 </li>
 <li>
 Present insights to stakeholders in a clear, data-driven, and visually compelling manner.
 </li>
 </ul>
</div>

Data Analyst Specialist

<div>
 
 📣We are looking for a
 
 Data Analytics Manager
 
 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>
 Lead, mentor, and grow a team of data analysts, delivering high-quality insights to support business and product goals.
 </li>
 <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>
 Support A/B test 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>
 Interpret real-time user data (for applications, web, and backoffice tools)
 </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>
 8+ years of experience in data analytics, business intelligence, or related roles, with at least 2 years managing a team.
 </li>
 <li>
 Proficient in SQL, Python/R, Excel, and BI tools (Looker, Tableau, Power BI, QlikSense).
 </li>
 <li>
 Implementation and reporting knowledge of tools such as Google Analytics, Looker, and Adobe Analytics.
 </li>
 <li>
 Knowledge of BigQuery is a plus.
 </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 Manager

letgo

<div>
 
 letgo is the go-to platform for buying and selling second-hand items, with over 100 million downloads and millions of listings. It simplifies local buying and selling, offering everything from electronics to furniture.
 
 
 
 
 
 We believe in the circular economy, reducing waste by helping people get what they need and let go of what they don&rsquo;t. With &ldquo;C&uuml;zdan&inodot;m G&uuml;vende,&rdquo; our secure payment and shipping service, transactions are protected and items are shipped via partner delivery companies.
 
 
 
 
 
 We're building the future of second-hand in Turkey and transforming the buying and selling experience. We seek passionate individuals who are excited about creating something users love and eager for new challenges. Our company values impactful work and a strong, evolving culture.
 
 
 
 
 
 
 What You Will Be Doing:
 
 
 
 
 
 <ul>
 <li>
 
 Partnering with business leaders
 
 : you will partner with business leaders across the organization to identify opportunities for analytics to drive value, provide insights, and inform decision-making, helping to shape the direction of the business and drive growth.
 </li>
 <li>
 
 Developing and implementing advanced analytics solutions
 
 : you will lead the development and implementation of advanced analytics solutions to address complex business problems, leveraging cutting-edge technologies and methodologies to provide insights and drive business value.
 </li>
 <li>
 
 Designing and optimizing dashboards
 
 : you will design, build, and maintain intuitive and insightful dashboards that empower stakeholders. By ensuring consistency, usability, and accuracy, you will transform complex datasets into clear visual narratives that drive informed decision-making across the organization.
 </li>
 <li>
 
 Creating consistency and excellence:
 
 you will establish and enforce standards for analytics practices, ensuring that all analyses are conducted using best practices and that insights are communicated in a clear and actionable way.
 </li>
 </ul>
 
 
 
 
 
 You'll Be Great For This Role If;
 
 
 
 
 
 <ul>
 <li>
 3+ years experience in the data field
 </li>
 <li>
 Preferably experience in an e-commerce or tech company
 </li>
 <li>
 Degree ideally in a quantitative field such as Mathematics, Computer Science or related degree or Economics/Business
 </li>
 <li>
 Strong SQL proficiency, along with experience in BI and web analytics platforms such as Tableau or QuickSight.
 </li>
 <li>
 Experience modeling data in relational database structures
 </li>
 <li>
 The ability to data mine across a large and varied business area or key priority for the company
 </li>
 <li>
 Strong project management skills with the ability to manage multiple projects and stakeholders in a fast-paced environment
 </li>
 <li>
 Strong business acumen with the ability to understand business processes and translate business requirements into data analytics solutions
 </li>
 <li>
 Very good communicator, in writing and verbally
 </li>
 </ul>
 
 
 
 
 
 What We Have For You
 
 
 <ul>
 <li>
 Comprehensive benefits such as life and health insurance, bonus scheme, etc.
 </li>
 <li>
 Flexible working and hybrid opportunity
 </li>
 <li>
 Opportunity to learn and develop within the company
 </li>
 <li>
 Career guidance &amp; path
 </li>
 <li>
 A dynamic work environment
 </li>
 </ul>
 
 
 
</div>

Growth Data Analyst

Vertigo Games

<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:
 
 
 <ul>
 <li>
 Critical Strike
 </li>
 <li>
 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.
 
 
 
 In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to
 
 get familiar with both of our games before you apply and complete your application only if you're genuinely excited
 
 to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Examine user engagement patterns and purchase characteristics to understand player behavior and preferences within our games
 </li>
 <li>
 Investigate users' 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>
 A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver
 </li>
 <li>
 Meal Allowance: Enough for a solid, satisfying meal
 </li>
 <li>
 Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever
 </li>
 <li>
 Private Health Insurance: Complementary private health insurance so you can get care without second thoughts
 </li>
 <li>
 Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job
 </li>
 <li>
 Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us
 </li>
 <li>
 Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us
 </li>
 <li>
 Referral Bonus: Introduce great talent to the team and earn a reward when they join
 </li>
 <li>
 Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution
 </li>
 <li>
 A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We're here to build great games together
 </li>
 <li>
 A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the "zone"
 </li>
 <li>
 Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind
 </li>
 <li>
 Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year
 </li>
 </ul>
</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:<ul><li>Critical Strike</li><li>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.
In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to get familiar with both of our games before you apply and complete your application only if you're genuinely excited to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions.
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>
A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver.</li></ul><ul>
<li>Meal Allowance: Enough for a solid, satisfying meal.</li>
<li>Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever.</li>
<li>Private Health Insurance: Complementary private health insurance so you can get care without second thoughts.</li>
<li>Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job.</li>
<li>Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us.</li>
<li>Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us.</li>
<li>Referral Bonus: Introduce great talent to the team and earn a reward when they join.</li>
<li>Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution.</li>
</ul><ul><li>A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We&rsquo;re here to build great games together.</li>
<li>A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the &quot;zone&quot;.</li>
</ul><ul><li>Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind.</li>
<li>Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.</li></ul></div>

PlusMinusOne

<div>
 
 PlusMinusOne is a&nbsp;
 
 mobile startup studio
 
 &nbsp;that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach&nbsp;
 
 more than a half-million new users every month in the US market alone
 
 . We are a remote-friendly startup with&nbsp;offices in&nbsp;
 
 San Francisco, Istanbul and Ankara.
 
 
 
 
 
 
 We have been building mobile products focused on Business, Photo &amp; Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories,&nbsp;
 
 our goal is the same:&nbsp;provide actual value to people with the best mobile user experience
 
 .
 
 
 
 
 
 
 We're looking for a data-driven problem solver to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
 
 
 
 
 
 
 
 
 ﻿
 
 What we are looking for:
 
 
 
 
 
 <ul>
 <li>
 Degree in STEM or equivalent practical experience
 </li>
 <li>
 2+ years of work experience as a&nbsp;
 
 full-stack
 
 &nbsp;data scientist or analyst covering problem identification, raw data ingestion &amp; pipelining, predictive analytics, reporting &amp; communicating the insights
 </li>
 <li>
 Advanced proficiency in Python/PySpark, SQL, and Git
 </li>
 <li>
 Solid understanding of time series forecasting and classification models
 </li>
 <li>
 Experience with orchestration and BI tools
 </li>
 <li>
 User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
 </li>
 <li>
 Hands-on experience deploying ML models in production environments (strong plus)
 </li>
 <li>
 Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
 </li>
 <li>
 Background in mobile app or consumer product analytics (strong plus)
 </li>
 <li>
 Appreciation of team spirit
 </li>
 <li>
 Bias for action and ownership mentality
 </li>
 </ul>
 
 
 
 
 
 Your responsibilities will be:
 
 
 
 
 
 <ul>
 <li>
 Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
 </li>
 <li>
 Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
 </li>
 <li>
 Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
 </li>
 <li>
 Collaborate with product and engineering teams to translate analytical insights into actionable features
 </li>
 <li>
 Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
 </li>
 <li>
 Launch A/B tests at scale and provide actionable insights to relevant teams
 </li>
 <li>
 Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to make an impact on millions of global users' life and the future of mobile
 </li>
 <li>
 Chance to be a part of a passionate and driven team where everyone&rsquo;s ideas are valued
 </li>
 <li>
 Working in an environment with a Silicon Valley startup culture and benefits
 </li>
 <li>
 A hybrid work environment with 3 days a week at the Kabata&scedil; Istanbul office
 </li>
 <li>
 14 days of paid vacation that starts from the first year of joining the team
 </li>
 <li>
 Quarterly profit sharing based on performance
 </li>
 <li>
 Ability to own a stock option after the first year
 </li>
 <li>
 Private health insurance package
 </li>
 <li>
 Reimbursement package for any education, course, etc.
 </li>
 <li>
 Reimbursement package for your sports activities
 </li>
 <li>
 A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
 </li>
 </ul>
 
 
 
 
 
 Let's shape the future of mobile together!
 
 
 
 
 
</div>

Data Scientist

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