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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>

Analytics Engineer

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>
Junior 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>Junior </b><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>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><p>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field, or equivalent practical experience.</p></li><li><p>
Experience in software development or digital analytics, with a focus on web development, analytics design, and implementation.</p></li><li><p>
Hands-on experience with Google Analytics 4; familiarity with Adobe Analytics is a plus.</p></li><li><p>
Experience working with Google Tag Manager; knowledge of other tag management systems such as Adobe Launch or Tealium is beneficial.</p></li><li><p>
Proficiency in HTML, JavaScript, and modern frontend libraries or frameworks; experience with TypeScript, Node.js, or Angular is a plus.</p></li><li><p>
Familiarity with version control systems such as Git (Global Information Tracker) and Agile methodologies like Scrum or Kanban.</p></li><li><p>
Ability to use browser debugging tools (e.g., console, network, storage, cookies) and understanding of traffic acquisition methods (e.g., UTM parameters) and cookie consent mechanisms.</p></li><li><p>
Demonstrated ability to troubleshoot and resolve analytics tracking issues.</p></li><li><p>
Clear communication skills for collaborating with cross-functional teams on technical topics.</p></li><li><p>
Experience with multivariate testing and experimentation to support product optimization.</p></li><li><p>
Experience building and maintaining dashboards using visualization tools such as Google Looker Studio or Qlik.</p></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.</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>

Junior Frontend Support Engineer (Analytics)

Özyeğin University

<div>
 <p>
  We are looking for an innovative AI Engineer who will design, develop, and deploy artificial intelligence (AI) and data analytics-based applications aligned with our organization's strategic goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Engineering, Software Engineering, Data Science, or related fields
  </li>
  <li>
   Minimum 3 years of experience in AI and data analytics.
  </li>
  <li>
   Advanced programming skills in Python, R, or related languages.
  </li>
  <li>
   Experience in RAG architectures, agentic chatbot systems, and LLM models.
  </li>
  <li>
   Knowledge of vector databases (Pinecone, Qdrant, Pgvector, etc.).
  </li>
  <li>
   Experience with workflow tools such as Flowise, n8n, or similar.
  </li>
  <li>
   Competency in API development and microservice architectures.
  </li>
  <li>
   Proficiency in SQL, including querying, creating views/tables, functions, and stored procedures
  </li>
  <li>
   Strong problem-solving, analytical thinking, and communication skills.
  </li>
  <li>
   Fluent in English, both written and spoken.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop Retrieval-Augmented Generation (RAG) architectures and agentic chatbot systems, integrating them with existing corporate information systems.
  </li>
  <li>
   Utilize vector databases such as Pinecone, Qdrant, and Pgvector to create data indexing, semantic search, information retrieval, and recommendation systems.
  </li>
  <li>
   Design, develop, and implement corporate process automation solutions using workflow automation tools such as Flowise, n8n, and similar platforms.
  </li>
  <li>
   Manage fine-tuning or training processes of large language models (LLM) tailored to organizational needs; actively participate in data collection, preprocessing, model training, and evaluation phases.
  </li>
  <li>
   Collect and analyze structured and unstructured data from various sources to generate actionable insights that add value to the organization.
  </li>
  <li>
   Participate in API development, microservices, and integration processes for AI and data analytics applications; ensure the sustainability, performance, and security of systems.
  </li>
  <li>
   Create decision-support systems using data visualization and reporting tools, and provide data-driven reports to management and stakeholders.
  </li>
  <li>
   Continuously monitor the performance of applications and models, develop optimization suggestions, and manage improvement processes.
  </li>
  <li>
   Prepare technical documentation for AI and data projects, documenting processes and integration steps in detail.
  </li>
  <li>
   Stay updated on current AI and data analytics technologies and methodologies, evaluate their applicability within the organization, and develop pilot projects.
  </li>
  <li>
   Share knowledge within the team, providing technical consultancy and guidance as needed.
  </li>
  <li>
   Build and maintain data pipelines to connect various data sources and manage the ELT (Extract, Load, and Transform) process using SSIS.
  </li>
  <li>
   Develop business performance visualizations and dashboards using SSRS to report on daily, weekly, and monthly activities, identify KPIs, and monitor progress.
  </li>
  <li>
   Foster a culture of data-driven decision-making by promoting objectivity over subjectivity and ensuring opinions are not mistaken for facts.
  </li>
  <li>
   Adhere strictly to information security, data privacy, and ethical principles, complying fully with relevant legal and corporate standards.
  </li>
 </ul>
 <p>
 </p>
</div>


Artificial Intelligence Engineer

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)

Optimum7

<div><p><b>AI Automation Engineer</b></p><br>
<p><b>
Location:</b> Remote, TR</p><p></p><p><br>
Optimum7 is a marketing-focused digital agency driven by a constant commitment to growth and innovation in eCommerce and digital marketing. Led by our founder, Duran Inci, with over 20 years of experience in digital marketing and web development, we deliver custom solutions that empower businesses to thrive in the digital age. Our dynamic team spans globally, specializing in crafting cutting-edge strategies and tools for eCommerce and B2B clients.</p>
<p>
Hear from our Founder &amp; CEO, Duran Inci:<br>
https://video.optimum7.com/v/J6Xrkb</p><p></p><p><b><br>
Role Overview</b></p>
<p>
We are seeking an <b>AI Automation Engineer</b> to design, implement, and optimize intelligent workflows and automation systems. This role requires an <b>analytical thinker</b> with strong problem-solving skills and hands-on experience in building automation pipelines. The ideal candidate combines technical expertise in <b>AI tools, APIs, and automation platforms</b> with a deep understanding of data processes to deliver scalable solutions for internal operations and client projects.</p><p></p><p><b><br>
Key Responsibilities</b></p><br>
<ul>
<li>Design and develop <b>automation workflows</b> using platforms such as <b>n8n, Clay, Zapier, or Make (Integromat)</b>.<br>
</li>
<li>Implement AI-driven solutions for <b>data processing, personalization, and workflow optimization</b>.<br>
</li>
<li>Integrate APIs and third-party tools into <b>custom automation pipelines</b>.<br>
</li>
<li>Collaborate with development, marketing, and sales teams to <b>identify automation opportunities</b> that improve efficiency<br>
</li>
<li>Conduct <b>testing, monitoring, and optimization</b> of automation processes to ensure reliability and scalability.<br>
</li>
<li>Apply <b>AI models and LLMs</b> (e.g., OpenAI, LangChain, Pinecone, etc.) to solve business problems and improve client deliverables.<br>
</li>
<li>Maintain detailed documentation of workflows, processes, and best practices.<br>
</li>
<li>Stay updated on <b>emerging AI tools, automation platforms, and frameworks</b> to recommend innovative solutions.</li><br>
</ul>
<p><b>Qualification</b></p>
<ul>
<li><b>Fluency in English (written and spoken)</b> at a professional level with excellent communication skills.<br>
</li>
<li>Strong <b>analytical and problem-solving mindset</b> with the ability to design efficient workflows.<br>
</li>
<li>2 years or 2+ years of hands-on experience in <b>AI engineering, automation, or workflow design</b>.<br>
</li>
<li>Proficiency with <b>automation tools</b> such as <b>n8n, Clay, Zapier, Make (Integromat), or similar</b>.<br>
</li>
<li>Experience integrating APIs and managing <b>data transformation/enrichment pipelines</b>.<br>
</li>
<li>Familiarity with <b>AI/ML tools</b> (e.g., OpenAI, LangChain, Pinecone, Hugging Face).<br>
</li>
<li>Strong knowledge of <b>Python or JavaScript</b> for building custom automations.<br>
</li>
<li>Ability to <b>analyze performance data</b> and optimize automation processes.</li><br>
</ul>
<p><b>It&rsquo;s a plus if you have:</b></p>
<ul>
<li>Experience in <b>eCommerce automation, personalization, or lead generation workflows</b>.<br>
</li>
<li>Knowledge of <b>web development frameworks</b> and working alongside engineering teams.<br>
</li>
<li>Background in <b>data analytics, business intelligence, or machine learning pipelines</b>.<br>
</li>
<li>Prior experience in a <b>digital agency or consulting environment</b>.</li><br>
</ul>
<p><b>What&rsquo;s Your Next Step?</b></p>
<p>
If you are passionate about AI and automation and eager to design scalable systems that drive efficiency and innovation, we want to hear from you. At Optimum7, you will have the opportunity to apply <b>cutting-edge AI tools</b> in real-world projects and shape the future of digital growth.</p>
<p><b>
Still Unsure?</b></p>
<p>
If you'd like to learn more about Optimum7 before making your decision, we invite you to check out the links below:</p>
<ul>
<li>Visit our website:<br>
www.optimum7.com<br>
</li>
</ul><ul><li>Follow us on LinkedIn:<br>
https://www.linkedin.com/company/optimum-7</li></ul></div>

AI Automation Engineer

Explore 497+ Analytics engineer in House Clinical Research Associate Site Management Jobs In House Clinical Research Associate Site Management Jobs In Turkey this October. Find roles across top companies and apply now to boost your career.