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analytics engineer

Trendyol Group

<div>
 <p>
  <strong>
   About the Team
  </strong>
 </p>
 <p>
  We&rsquo;re shaping the future of financial technology at Trendyol.
 </p>
 <p>
  As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.
 </p>
 <p>
  With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.
  </li>
  <li>
   Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).
  </li>
  <li>
   Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.
  </li>
  <li>
   Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a "single source of truth." Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.
  </li>
  <li>
   Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.
  </li>
  <li>
   Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Expected Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.
  </li>
  <li>
   3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.
  </li>
  <li>
   Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.
  </li>
  <li>
   Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).
  </li>
  <li>
   Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.
  </li>
  <li>
   Experience applying software engineering best practices to data, including version control (Git) and CI/CD.
  </li>
  <li>
   Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.
  </li>
  <li>
   An agile mindset for data product development.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <p>
  A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 </p>
 <p>
  A customizable FlexBenefits budget &mdash; 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.
 </p>
 <p>
  Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 </p>
 <p>
  Personalized training allowance and learning opportunities &mdash; 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.
 </p>
 <p>
  Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 </p>
 <p>
  A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 </p>
 <p>
  Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 </p>
 <p>
  Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Take the Next Step
  </strong>
 </p>
 <p>
  If this role excites you, apply now and let&rsquo;s take the next step together.
 </p>
 <p>
  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.
 </p>
</div>


Analytics Engineer

Trendyol

<div><div><div><b>ABOUT THE TEAM</b></div><div></div><div><br>
We&rsquo;re shaping the future of financial technology at Trendyol.</div><div>
As Trendyol&rsquo;s technology teams, we&rsquo;re not only building for today we&rsquo;re designing the financial experiences of tomorrow. From payment infrastructure and digital wallets to smart credit systems and personalized financial services, we create solutions that empower millions of users across our ecosystem.</div><div>
With Trendyol Pay, we enable fast, secure, and seamless payment journeys. Through Trendyol Finance, we develop inclusive and accessible products that simplify financial decisions.</div><div></div><div><br>
We are united by a shared purpose:To create a positive impact in our ecosystem by enabling commerce through technology</div><div></div><div><b><br>
About the Role</b></div><div>
As an Analytics Engineer, you will act as the bridge between raw data and business insights. You'll create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets. You will play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Partner with Product Managers and engineering teams to design, develop, and maintain scalable and reliable data models and metric layers for new and existing data product initiatives.</li><li>
Transform large, complex datasets from raw sources into clean, tested, and documented data assets that empower self-service analytics for end-users (analysts, data scientists, business teams).</li><li>
Own the end-to-end design, development, and maintenance of SQL-based data models, ensuring consistency, performance, and reliability within the data warehouse.</li><li>
Act as the product owner for our analytics platform, driving the standardization of data definitions and metadata to establish a &quot;single source of truth.&quot; Additionally, lead the development of our next-generation platform that enables users to conduct self-service analysis through Large Language Models (LLMs) and AI Agents.</li><li>
Collaborate closely with business teams to understand their data exploration and analysis needs, influencing data roadmaps and prioritization based on their requirements.</li><li>
Deeply understand and empathize with Trendyol's customers and their journey with the product from a data perspective.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field.</li><li>
3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus.</li><li>
Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions.</li><li>
Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau).</li><li>
Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture.</li><li>
Experience applying software engineering best practices to data, including version control (Git) and CI/CD.</li><li>
Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data.</li><li>
An agile mindset for data product development.</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><div><b>
A hybrid working model with flexibility &mdash;</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</div><div><b>
A customizable FlexBenefits budget &mdash;</b> 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.</div><div><b>
Comprehensive wellbeing support &mdash; </b>Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.</div><div><b>
Personalized training allowance and learning opportunities &mdash;</b> 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.</div><div><b>
Responsibility from day one &mdash; </b>Take full ownership from the start in a culture where every voice is heard and valued.</div><div><b>
A diverse, international team &mdash; </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</div><div><b>
Opportunities to grow with the best &mdash;</b> Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</div><div><b>
Meaningful connections beyond tasks &mdash;</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</div><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply now and let&rsquo;s take the next step together.</div><div>
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></div></div>

thelab

<div><p>Tag Management &amp; Data Integrity Specialist</p><p></p><p><br>
We&rsquo;re hiring a web analytics engineer to lead auditing, implementing, and optimizing<br>
event tracking and data governance across the digital properties we build and<br>
maintain for our clients. Our work spans sites that are heavily transactional (e-<br>
commerce, lead gen), along with several multi-site platforms that share analytics<br>
strategies across a portfolio of brands. This role is for a detail-obsessed, senior-level<br>
specialist who can confidently own GTM, tagging QA, and data integrity.</p><p></p><p><br>
Key Focus Areas</p><p></p><ul><li><br>
Own the end-to-end design and governance of data collection and analytics</li></ul>
infrastructure (e.g., GTM, GA4, Triple Whale, CDPs).
<ul><li>Translate business goals into data strategy, tagging specifications, and KPI</li></ul>
frameworks.
<ul><li>Audit and refactor existing GTM container(s) for scalability and performance.</li><li>Implement pixel and event tracking (client- and server-side) across platforms</li></ul>
such as Meta, Google Ads, and Shopify, working closely with developers when<br>
necessary<br>
<ul><li>Validate and QA all tag deployments using tools like Charles Proxy,</li></ul>
ObservePoint, or Adobe Debugger.<br>
<ul><li>Ensure all data collection aligns with privacy regulations and consent</li></ul>
management requirements.<br>
<ul><li>Create and maintain clear implementation documentation for all tracking</li></ul>
systems.<p></p><div><br>
Requirements<br>
<ul><li>5+ years experience in tag management, ad tech implementation, or digital</li></ul>
analytics.<br>
<ul><li>Expert-level GTM skills, including data layer strategy and server-side setup.</li><li>Experience with Shopify analytics configurations</li><li>Strong debugging abilities across browser environments and analytics tools.</li><li>Fluency with marketing pixels and event-based tracking (Meta, TikTok,</li></ul>
Pinterest, etc.).<br>
<ul><li>Reliable, self-directed, and able to clearly communicate technical</li></ul>
recommendations to stakeholders.</div><p></p><div><br>
Nice to Have<br>
<ul><li>Frontend development experience sufficient to implement DataLayer pushes</li></ul>
or class names in our code bases<br>
<ul><li>Experience building out dashboards in analytics tools like Google Data Studio</li></ul>
/ Tableau / PowerBI</div></div>

Tag Management and Data Integrity Specialist

Amadeus

<div><div><div><div><div><div><div><div><p><b>Job Title</b></p></div></div></div></div></div></div></div>
Frontend Support Engineer (Analytics)<p><b>
Amadeus </b>is the leading technology provider to the travel industry and is present in 190+ countries around the world. Our innovative solutions power every part of a traveler&rsquo;s journey, from airlines to search engines, travel agencies to hotels, the world's top travel brands rely on Amadeus to help create exceptional traveler experiences.<br>
<br>
Istanbul is one of our strategic engineering hub locations, hosting business units from across the Amadeus ecosystem and working with multinational teams from around the world to shape and create the future of travel.</p><p></p><p>
As a <b>Frontend Support Engineer</b> at Amadeus, you will be responsible for the implementation, management, and optimization of digital analytics solutions across internal systems. You will collaborate with various internal teams, such as marketing, product development, and engineering, to ensure the successful setup and operation of analytics tools, primarily focusing on <b>Google Analytics 4.</b> You will also implement third-party tags as requested by internal stakeholders, ensuring that all tagging adheres to the company&rsquo;s data collection standards.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><b>Collaboration:</b></li></ul><p>
o Work closely with internal teams (marketing, product development, engineering) to address pixel/tag implementation requests efficiently using internal tools like the Keystone Javascript library.</p><p>
o Support the overall web analytics strategy by helping to structure measurement frameworks, define KPIs, and deliver insightful analysis for decision-making.</p><p>
o Translate business needs into technical requirements, providing inputs on testing strategies, configuration, and deployment.</p><p>
o Implement third-party tags (e.g., marketing, social media, affiliates) as requested by internal teams, ensuring that these implementations align with the company&rsquo;s data collection and analytics standards.</p><p>
o Apply and maintain tagging standards by developing and optimizing interactions with tools such as Google Analytics 4 and Google Tag Manager.</p><p>
o Evaluate and recommend the latest data tracking technologies to support business initiatives and maintain leadership in analytics best practices.</p><p></p><ul><li><b>Technical Leadership:</b></li></ul><p>
o Take ownership of creating analytics implementation specifications, custom code development, and tool configurations to meet analytics needs.</p><p>
o Act as the internal expert on digital analytics and site tagging, ensuring that all implementations follow industry best practices.</p><p>
o Continuously improve the efficiency of the analytics implementation by evolving internal tools, such as the Keystone Javascript Library.</p><p></p><ul><li><b>Operations:</b></li></ul><p>
o Identify and troubleshoot data quality issues, working to resolve them and enhance the overall resilience of the analytics infrastructure.</p><p>
o Ensure proper data collection and tracking setups across web and mobile platforms, ensuring high data quality for all stakeholders.</p><p></p><ul><li><b>Innovation:</b></li></ul><p>
o Explore new analytics platforms (e.g., Adobe Analytics, Matomo, Contentsquare, Hotjar, MS Clarity) and propose ways to integrate them into the company&rsquo;s analytics ecosystem to improve product offerings.</p><p>
o Design and build automated reporting dashboards using tools like Google Looker Studio or other data visualization platforms, enabling stakeholders to access actionable insights.</p><p>
o Propose and execute multivariate testing plans, setting up experiments within optimization platforms to improve product performance.</p><p></p><p><b>
Qualifications:</b></p><ul><li>MS Degree in Computer Science, Information Technology, or a related field, or equivalent relevant experience.</li><li>3+ years of experience in software development and/or <b>digital analytics</b>, with a strong focus on <b>web development</b>, analytics process design, and implementation.</li><li>Proven experience with <b>Google Analytics 4</b>; knowledge of Adobe Analytics is a plus.</li><li>Good experience working with Google Tag Manager; familiarity with Adobe Launch, Tealium, or other tag management systems is a plus.</li><li>Proven experience with <b>HTML, JavaScript</b>, and popular frontend libraries and frameworks.</li><li>Hands-on experience with Typescript (NodeJS and/or Angular experience is a plus).</li><li>Familiarity with version control systems like GIT and experience working in Agile environments (SCRUM/Kanban).</li><li>Experience using browser debugging tools (console, network, local/session storage, cookies); knowledge of traffic acquisition (UTM parameters) and cookie consent mechanisms is a plus.</li><li>Strong problem-solving skills with the ability to troubleshoot and resolve tracking and analytics implementation issues.</li><li>Excellent technical communication skills to collaborate effectively with internal teams.</li><li>Proficiency in multivariate testing and experimentation within digital platforms to drive product optimizations.</li><li>Experience creating and maintaining automated dashboards and reporting systems using visualization tools such as Google Looker Studio or Qlik.</li></ul><p></p><p><b>
What can we offer you?</b></p><p>
 A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.</p><p>
 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.</p><p>
 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.</p><p>
 A caring environment &ndash; Amadeus fosters a caring environment that supports both professional growth and personal well-being.</p><p>
 A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits and health benefits.</p><p>
 A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.</p><p>
 A diverse, equitable, and inclusive community &ndash; We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.</p><p>
 A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.<br>
<br>
#LI-EMEA</p><p></p><p><b>
Diversity &amp; Inclusion</b></p><p></p><div><p>
Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.</p></div><p></p><div><p>
Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.</p></div></div><p></p>

Frontend Support Engineer (Analytics)

Arçelik

<div><p><b>Discover a Home for Your Talents</b></p><br>
<p></p>
<p>
Within the Beko community, every role feels like home, fostering a sense of belonging and growth. We value mutual respect, progressive thinking, and the power of diversity and inclusivity. Our commitment to sustainable development is driven by trust in technology and a dedication to producing confidently. As a member of our team, you'll have the opportunity to showcase your talents and contribute to building a prosperous future for all.</p><br>
<p></p>
<p><b>
Apply Now and Be Part of Our Journey to Inspire Sustainable Lives in Every Home!</b></p><br>
<p></p>
<p><b>
What awaits you in this role?</b></p>
<p>
We are looking for a passionate <b>Engineer - Advanced Data Analytics (Quality Systems)</b> who will join our team at <b>Product Quality Directorate.</b></p>
<ul>
<li>Managing and leading establishment, certification, development, audit and reporting of Reliability, FMEA, Six Sigma, Advanced Data Analytics in line with the needs of the organization,</li>
<li>Close monitoring of Reliability and Durability tests on the products,</li>
<li>Periodic review of activity lists with related stakeholders,</li>
<li>Live monitoring and reporting of Reliability, FMEA, Six Sigma, Advanced Data Analytics indicators by dashboards,</li>
<li>Active participation and support to New Product Implementation process,</li>
<li>Reviewing Reliability, FMEA, 6 Sigma, Advanced Data Analytics projects for domestic/overseas plants and outsourced products and tracking them with local teams,</li>
<li>Planning/realization and follow-up of awareness and orientation training for Reliability, FMEA, Six Sigma, Advanced Data Analytics,</li>
<li>Close monitoring of Reliability, FMEA, Six Sigma targets, Advanced Data Analytics (Objective Key Results) on dashboards and realization.</li></ul><br>
<p></p>
<p>
The position located in <b>&Ccedil;ay&#305;rova, &#304;stanbul.</b></p><br>
<p></p>
<p><b>
How do we decribe perfect match?</b></p>
<ul>
<li>Bachelor's degree in Industrial or Mechanical Engineering,</li>
<li>Having experience in in project management,</li>
<li>General knowledge of Total Quality Management and Quality Management System Standards (ISO 9001), Reliability, FMEA (Failure Mode Effect Analysis), 6 Sigma and statistical techniques</li>
<li>Excellent verbal and written skills in English,</li>
<li>Thinking broadly about business,</li>
<li>Understanding needs of the customer &amp; market,</li>
<li>Having the desire to do outstanding jobs,</li>
<li>Recognizing and understanding emotions of other people,</li>
<li>Listening different perspectives and showing flexibility,</li>
<li>Building collaboration,</li>
<li>Clear in communicating thoughts and ideas,</li>
<li>Public speaking and presentation skills.</li></ul><p></p><p><br>
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, sex, colour, national or social origin, ethnicity, religion, age, pregnancy, disability, sexual orientation, gender identity and expression, marital status, or political opinion.</p><br>
<p></p>
<p><b>
At Beko, where it feels like home, we invite you to explore&hellip;</b></p><br>
<p></p>
<ul>
<li><b>Professional Development: </b>Access tailored opportunities through our global minds network.</li>
<li><b>Global Community: </b>Contribute to a community of like-minded individuals.</li>
<li><b>Well-being: </b>Enjoy holistic support in physical, mental, financial, career, social, and family wellness, including sports teams, hobby clubs, social activities, counselling, dietitian support, and more.</li>
<li><b>Innovation Culture: </b>Experience continual growth in our innovative environment.</li>
<li><b>Leadership: </b>Develop leadership skills at any level in our trusted lifestyle solutions environment.</li></ul><br>
<p></p>
<p>
Join the Beko Community to open a new chapter in your life journey, where growth, innovation, and personal fulfilment make it feels like home.</p><br>
<p></p>
<p>
Get to know us better through our company video! https://www.youtube.com/watch?v=uNkzSicIGaU</p><br>
<p></p>
<p>
Check out our latest stories and behind-the-scenes moments on Instagram: @lifeatbeko</p></div><p></p>

Engineer - Product Quality

Armut Teknoloji AS

<div><p>Armut / Homerun is a leading local services marketplace with over 700,000 professionals across 4,000 services and has seen over 1000% revenue growth in 5 years. Our purpose is to make it easy to find good quality, trusted providers by using the latest technologies and machine learning algorithms. We serve over 5 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth with the new investment round of 15 Million &euro; and increasing the number of operating countries in the EMEA region.</p><p><br>
Our strength is rooted in our core values: always putting our customers first, solving problems with data 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</p><p><br>
Join us on our journey to be the EMEA leader in the local services marketplace!</p><p><b><br>
You Will:</b></p><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>
Attend the Data Team ceremonies on a weekly basis to ensure consistency and state of the art best practices are deployed in the Category Team too</li><li>
Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</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><p><b>
You Are:</b></p><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 <b>SQL</b> and <b>Python scripting</b>, with a strong command of data manipulation and transformation techniques.</li><li>
Comfortable working with diverse data types&mdash;<b>structured, semi-structured, and unstructured</b>&mdash;and choosing the right approach for each.</li><li>
Grounded in <b>statistics</b>, with experience in <b>hypothesis testing</b>, <b>regression models</b>, and understanding of key <b>data distributions</b>.</li><li>
Experienced in <b>natural language processing (NLP)</b> and <b>text analytics</b>, with a strong understanding of their applications in business contexts.</li><li>
Proficient in developing and applying <b>machine learning models</b> for prediction and automation.</li><li>
Familiar with modern AI trends, particularly <b>large language models (LLMs)</b> 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><p><b><br>
Why Join Us</b></p><ul><li>
Competitive salary,</li><li>
An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment,</li><li>
Freedom to test, fail and test again in a fast-paced environment,</li><li>
Never-ending growth opportunities supported by learning &amp; development fund,</li><li>
Working environment where your success is not judged by a dress code or working hours,</li><li>
Extra vacation time, flexible working hours and the possibility to work from home,</li><li>
Beach days, theme nights, sports &amp; game events and any other social activity ideas you come up with!</li></ul><p><b><br>
Our Hiring Process</b></p><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><p>
</p><p>348J5X2mcD</p></div>

Category Automation Manager

United Technologies Corporation

<div><div><b>About us<br>
</b></div><div></div><br>
<div>Our products are reaching top positions in their categories on App Store and Google Play. 96 million people around the world use it. Our products are well-known among users from the US, UK, Canada, and leading European and Middle East countries.
</div><div>We&rsquo;re passionate about human connection and autonomy. We desire to grow our team in Turkey for a new product in the interactive story genre of lifestyle games.<br>
</div><div></div><br>
<br>
<br>
<div><b>About the job<br>
</b></div><div></div><br>
<div>We are looking for a <b>Backend &amp; Data Engineer </b>(PlayFab / Azure / BigQuery) who will own and evolve our game backend systems and data pipelines powering live operations, analytics, and business intelligence.<br>
</div><div></div><br>
<div>You&rsquo;ll work closely with the product, analytics, and LiveOps teams to ensure a reliable, secure, and efficient flow of data &mdash; from the game client to backend servers and dashboards.</div></div><div></div>

Backend & Data Engineer (PlayFab / Azure / BigQuery)

Explore 490+ Analytics engineer in Turkey this October. Find roles across top companies and apply now to boost your career.

490 analytics engineer jobs IN Turkey

Analytics Engineer

Analytics Engineer

Tag Management and Data Integrity Specialist

Frontend Support Engineer (Analytics)

Engineer - Product Quality

Category Automation Manager

Backend & Data Engineer (PlayFab / Azure / BigQuery)