data engineer

data scientist (istanbul- ankara) Jobs in Ankara

data scientist (istanbul- ankara)

senior data science manager Jobs in Ankara

senior data science manager

data scientist

TRB 360

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul / Ankara
 
 
 
 Work Model:
 
 Hybrid
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are supporting one of our client companies in their search for a Data Scientist.
 
 
 The selected candidate will contribute to the development of the company&rsquo;s next-generation AI and quantitative analytics infrastructure. You will work with large-scale financial, operational, and alternative datasets to build, evaluate, and optimize predictive models that enhance forecasting, trading analytics, and risk management.
 
 
 This role focuses on transforming complex, multi-source data into predictive systems that strengthen the company&rsquo;s analytical and trading performance.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 &bull; Collect, preprocess, and structure large-scale financial, operational, and alternative datasets to support quantitative and AI modeling.
 
 
 &bull; Develop and test mathematical, statistical, and econometric models to identify patterns, anomalies, and predictive relationships in target markets.
 
 
 &bull; Conduct time-series analysis, feature engineering, and hypothesis testing to extract predictive insights.
 
 
 &bull; Support model training, validation, and versioning pipelines to ensure reproducibility and scalability.
 
 
 &bull; Collaborate with quantitative analysts and engineers to integrate data-driven models into production environments.
 
 
 &bull; Contribute to the continuous improvement of data quality, reliability, and performance metrics.
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, or a closely related discipline.
 
 
 &bull; Solid understanding of calculus, linear algebra, probability, statistics, optimization, numerical methods, and algorithmic reasoning.
 
 
 &bull; Minimum 2 years of experience in applied mathematical modeling or data analysis within scientific, engineering, or financial domains.
 
 
 &bull; Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib) for data manipulation and model development.
 
 
 &bull; Experience with time-series data, regression models, and statistical hypothesis testing.
 
 
 &bull; Ability to build and manage data workflows in big data and cloud environments (e.g., Spark, AWS, GCP).
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 &bull; Experience with machine learning or deep learning for financial data applications.
 
 
 &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 
 
 &bull; Relevant certifications such as CFA, FRM, or training in Quantitative Finance.
 
 
 
 
 
 
 Soft Skills
 
 
 
 
 
 
 &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 
 
 &bull; Strong collaboration and coordination capabilities across cross-functional teams.
 
 
 &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 
</div>

Data Scientist (Istanbul- Ankara)

Udemy

<div>
 
 Join Udemy. Help
 
 
 define
 
 
 the future of learning.
 
 
 
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 
 
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 
 
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 
 
 
 Learn More About Us On Our Company Page.
 
 
 
 
 
 Where we work
 
 
 
 
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 
 This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 
 .
 
 
 
 About Your Skills
 
 
 
 <ul>
 <li>
 Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
 </li>
 <li>
 Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
 </li>
 <li>
 Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
 </li>
 <li>
 Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
 </li>
 <li>
 Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
 
 
 </li>
 </ul>
 
 About This Role
 
 
 
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 
 <ul>
 <li>
 Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
 </li>
 <li>
 Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
 </li>
 <li>
 Provide hands-on technical guidance and career mentorship for team members
 </li>
 <li>
 Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
 </li>
 <li>
 Research or prototype solutions and contribute to the codebase as needed
 
 
 </li>
 </ul>
 
 
 What you&rsquo;ll have
 
 
 
 
 <ul>
 <li>
 8+ years of experience as a software engineer, researcher or data scientist
 </li>
 <li>
 3+ years of management experience of teams building data driven solutions.
 </li>
 <li>
 Appetite and relevant background for learning state-of-the-art AI based search solutions
 </li>
 <li>
 Strong communication skills both written and verbal
 </li>
 <li>
 Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
 </li>
 <li>
 Familiarity with agile practices (e.g., Scrum)
 </li>
 <li>
 Ability to communicate effectively with non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
 </li>
 <li>
 Experience with big data ecosystems such as Spark, Hadoop and Hive.
 </li>
 <li>
 Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
 
 
 </li>
 </ul>
 application deadline 18 November 2025
 
 
 
 Why work here?
 
 
 
 
 You&rsquo;ll grow here.
 
 
 
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 
 
 
 AI is real here.
 
 
 
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 
 
 
 You&rsquo;ll own your work.
 
 
 
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 
 
 
 You&rsquo;ll Build With Others.
 
 
 
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 
 
 
 You&rsquo;ll see your impact.
 
 
 
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 
 
 
 Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
 
 LEARN
 
 together.
 
 
 
 
 Our Benefits Start With U
 
 
 
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 
 
 
 Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
 
 
 
 
 At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
 
 
 
 
 
 Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
 
</div>

Senior Data Science Manager

Innovance Consultancy

<div>
 
 
 About the Role:
 
 
 
 
 
 
 We are looking for a passionate
 
 Data Engineer
 
 to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
 </li>
 <li>
 Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
 </li>
 <li>
 Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
 </li>
 <li>
 Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
 </li>
 <li>
 Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
 </li>
 <li>
 Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
 </li>
 <li>
 3+ years of hands-on experience in Data Engineering or Data Warehousing
 </li>
 <li>
 Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
 </li>
 <li>
 Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
 </li>
 <li>
 Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
 </li>
 <li>
 Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
 </li>
 <li>
 In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
 </li>
 <li>
 Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications (Nice to have):
 
 
 <ul>
 <li>
 Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
 </li>
 <li>
 Experience with real-time data processing and streaming technologies, such as Kafka
 </li>
 <li>
 Familiarity with workflow management platforms like Airflow
 </li>
 <li>
 Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
 </li>
 <li>
 Familiarity with BI tools such as Power BI
 </li>
 <li>
 Experience in the banking or finance industry is a significant advantage
 </li>
 </ul>
 
 
 
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Excellent communication skills in English, both written and verbal
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and a results-oriented mindset
 </li>
 <li>
 A team player with the ability to communicate effectively with stakeholders at all technical levels
 </li>
 <li>
 Detail-oriented with a commitment to delivering high-quality work
 </li>
 </ul>
 
 
 
 
 
 
 Follow us:
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/innovance-consultancy
 </li>
 <li>
 LinkedIn: https://www.linkedin.com/company/dataspecta
 </li>
 <li>
 Instagram: https://www.instagram.com/innovanceconsultancy
 </li>
 <li>
 Instagram: https://www.instagram.com/dataspecta
 </li>
 </ul>
</div>

Data Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Lead Analyst (Supply Analytics, Bangkok-based, Relocation provided)

PaneraTech, Inc.

<div>
 
 About PaneraTech, Inc.
 
 
 
 PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
 
 
 <ul>
 <li>
 Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production
 </li>
 <li>
 Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for 20-30 years in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions to our customers to make their process more data-driven so that an early career workforce can flourish.
 
 
 </li>
 </ul>
 At PaneraTech, you will be part of a global, innovative and hybrid working team. Our corporate office is based in the United States with employees spread across Europe, Asia, and South America. Turkey office is in the Hacettepe Teknokent. In this collaborative and inspiring culture that is fostered by a creative and intellectually stimulating work environment, you will be encouraged to bring the best out of yourself and your colleagues. We are looking for professionals willing to work in a fast-paced environment, cannot wait to excel in their work and are crazy about improvement! We recognize our colleagues' achievements and both individual and team performance is valuable to us.
 
 
 
 About The Role
 
 
 
 As our Data &amp; Reporting Specialist, you'll be the guardian of data integrity and the architect of insights for PaneraTech's Asset Management (AM) Program. This role transforms technical audit data, operational information, and digital platform outputs into clear, accurate, and visually compelling reports that drive decision-making for our customers. You'll ensure that complex technical findings become actionable intelligence through standardized, executive-ready deliverables.
 
 
 You'll work at the intersection of technical operations and business intelligence, collaborating with Asset Managers, Senior Auditors, Field Engineers, and the Digital Solutions Specialist to ensure that every report is timely, reliable, and tells a compelling data story. This position is critical to scaling the AM Program and improving the efficiency of the entire technical team.
 
 
 This role reports to the Asset Management leadership and collaborates closely with Senior Auditors, Field Engineers, and the Digital Solutions Specialist.
 
 
 
 What You'll Do
 
 
 
 Report Production &amp; Delivery (Primary Mission)
 
 
 Build final versions of SmartAudit technical reports, Monthly AM Review presentations, and Executive Reports Ensure all reports are clear, accurate, professional, and adhere to standardized templates Integrate technical inputs from Senior Auditors with strategic insights from Asset Managers Deliver reports on time, every time, with zero errors Maintain version control and documentation of all report iterations Coordinate review cycles with stakeholders to ensure alignment before final delivery
 
 
 Data Structuring, Integrity &amp; Analytics
 
 
 Build comparison datasets across audits to prepare for AI integration and trend analysis Clean, structure, and validate large datasets to ensure accuracy and consistency Create charts, heatmaps, tables, and visual summaries for wear rates, operational trends, and performance metrics Support Asset Managers and Digital Solutions Specialist in developing KPI dashboards Identify data quality issues and work with Field Engineers to ensure input completeness Maintain data governance standards across all AM Program reporting
 
 
 Cross-Functional Collaboration
 
 
 Work closely with Senior Auditors to validate technical findings and ensure accurate representation Partner with Asset Managers to highlight key insights and craft executive messaging Collaborate with Digital Solutions Specialist to ensure XSight/Polaris data flows correctly into reports Coordinate with Field Engineers to ensure completeness and quality of input data Assist in standardizing reporting processes across customers and service lines
 
 
 Continuous Improvement &amp; Process Optimization
 
 
 Improve templates, automate repetitive tasks, and enhance report clarity and visual appeal Help define reporting standards for new services and programs Identify bottlenecks in reporting workflows and propose solutions Document best practices and create training materials for reporting processes Stay current with data visualization trends and tools to continuously elevate report quality
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in data reporting, analytics, business intelligence, or process documentation roles
 </li>
 <li>
 Strong proficiency in Excel (advanced formulas, pivot tables, structured data, data modeling)
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, or similar)
 </li>
 <li>
 Proven ability to handle and clean large datasets with high attention to detail
 </li>
 <li>
 Proficiency with PowerPoint and presentation storytelling for executive audiences
 </li>
 <li>
 Business English proficiency with excellent written and verbal communication skills
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Advanced Excel skills including complex formulas, pivot tables, macros, and data validation
 </li>
 <li>
 Experience with Power BI, Tableau, or similar BI/visualization platforms
 </li>
 <li>
 Ability to create compelling charts, dashboards, and visual narratives from complex data
 </li>
 <li>
 Familiarity with data quality management and validation techniques
 </li>
 <li>
 Understanding of database concepts and ability to work with structured datasets
 </li>
 <li>
 Comfortable learning technical concepts related to thermal systems, wear analysis, and industrial processes (training provided)
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Precision mindset: Obsessed with accuracy, consistency, and data integrity; delivers error-free work every time
 </li>
 <li>
 Analytical thinking: Ability to identify patterns, anomalies, and insights within complex technical data
 </li>
 <li>
 Visual communication: Can transform raw data into clear, compelling visual stories that drive action
 </li>
 <li>
 Collaboration: Works effectively with technical experts and translates their inputs into structured reports
 </li>
 <li>
 Organization: Maintains meticulous file management, version control, and documentation practices
 </li>
 <li>
 Problem-solving: Proactively spots gaps, inconsistencies, or opportunities for improvement
 </li>
 <li>
 Time management: Comfortable working under deadlines with multiple concurrent reporting cycles
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Degree in engineering, data science, analytics, or a related field
 </li>
 <li>
 Experience in industrial, manufacturing, or heavy industry environments
 </li>
 <li>
 Background producing executive-style reports for technical or operational audiences
 </li>
 <li>
 Experience with process improvement methodologies (Lean, Six Sigma, Agile)
 </li>
 <li>
 Familiarity with asset management, predictive maintenance, or condition monitoring concepts
 </li>
 <li>
 Experience working with global teams across multiple time zones
 </li>
 <li>
 Knowledge of SQL or Python for data manipulation
 
 
 </li>
 </ul>
 Success Profile
 
 
 The ideal candidate delivers error-free reports, every time, and serves as the guardian of data integrity for the AM Program. You help the technical team scale by reducing manual work and improving efficiency. You understand how data tells a story and supports operational decisions, and you work seamlessly between technical teams (Senior Auditors) and customer-facing teams (Asset Managers). You take pride in transforming complex technical information into insights that drive real business value.
</div>

Data & Reporting Specialist

GE HealthCare

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
As a Service Business Operation Specialist, you will play a pivotal role in driving operational excellence across the service lifecycle and will be at the heart of our service ecosystem by ensuring data integrity, digitalization, standardization, process efficiency, and customer satisfaction. it's a launchpad for developing deep expertise in service business operations. You&rsquo;ll gain exposure to international teams, sharpen your analytical and communication skills, and contribute to meaningful improvements in how we serve our customers. 
 
In this dynamic role, you will: 
 
<ul><li>Own the Installed Base Lifecycle: From asset registration to end-of-life, manage and maintain accurate records that power our service operations.</li><li>Ensure Data Accuracy &amp; Timely Billing: Enter and validate customer information, warranties, and contracts in our Service ERP system to enable precise billing for both contract and non-contract services.</li><li>Drive System Excellence: Support data remediation and updates in Service CRM and ServiceMax, and contribute to seamless Channel Partner/Distributor transitions.</li><li>Lead Data Quality Initiatives: Manage data cleanup, migration, and verification activities to uphold operational standards.</li><li>Collaborate Across Functions: Work closely with cross-functional teams to align on data accuracy and streamline service processes.</li></ul><h1 class="jobSectionHeader">
Job Description</h1>
Roles&amp; Responsibilities<ul><li>
Load, update, and maintain GEHC customer service contracts and warranties in all applicable Service ERP systems, including additions, deletions, and modifications.</li><li>
Ensure timely and accurate system and tax legal billing for both contract and non-contract services as per customer requests, minimizing delays and discrepancies.</li><li>
Maintain database accuracy by supporting field teams, internal stakeholders, and external customers via phone and email.</li><li>
Collaborate with Field Service Sales, Service Delivery, Service Marketing, and Commercial teams to resolve technical and process-related challenges.</li><li>
Assist Finance and Cash Collection teams in resolving customer disputes, including concessions, penalties, write-offs, and credit notes.</li><li>
Initiate and drive process improvement projects to standardize operations and enhance efficiency.</li><li>
Support the transition of distributors to Channel Partner ServiceMax by preparing data, executing cleanup activities, and managing migration in coordination with multiple stakeholders.</li><li>
Provide quarterly visibility into contract and non-contract profitability, highlighting areas for pricing optimization.</li><li>
Assist Finance teams during month-end, quarter-end, and year-end closing processes.</li><li>
Deliver prompt and effective support for all contract and non-contract related customer inquiries.</li><li>
Complete all required Quality &amp; Compliance training within defined deadlines.</li><li>
Follow Quality Assurance processes by properly archiving all relevant documentation, including proposals, signed contracts, service reports, and invoices.</li><li>
Comply with GEHC&rsquo;s Quality Manual, Management System, Policies, Goals, and all applicable laws and regulations.</li></ul>
Required Qualifications &amp; Requirements<ul><li>
Bachelor&rsquo;s degree in Business Administration, Finance, Economics, Engineering, or a related field.</li><li>
Minimum of 3 years of relevant professional experience in operations, service, or data management.</li><li>
Strong command of English, both written and verbal.</li><li>
Excellent organizational and time management skills.</li><li>
Proven ability to prioritize tasks, meet deadlines, and maintain attention to detail.</li><li>
Comfortable managing multiple tasks and adapting to changing priorities in a fast-paced environment.</li><li>
Ability to thrive in a dynamic, routine and high-volume work setting.</li><li>
Demonstrates a strong sense of urgency and ownership.</li><li>
Strong analytical and communication skills; able to engage effectively with internal and external stakeholders at all levels.</li><li>
Self-motivated with a proactive approach to problem-solving and decision-making.</li><li>
Focused on continuous improvement and eliminating non-value-added activities.</li></ul><h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: No</div></div></div></div></div></div></div></div>

Service Business Operation Specialist

INTEC Energy Solutions

<div>
 
 INTEC Energy Solutions delivers best-in-class services in Engineering, Procurement, Construction (EPC), Battery Energy Storage Systems (BESS), Development, Consultancy, and Operation &amp; Maintenance, along with New Energy Solutions.
 
 
 
 
 
 With a globally experienced team, INTEC has managed over 190 projects and achieved an impressive installed and secured capacity of 3.9 GWp. Headquartered in the United Kingdom, INTEC also operates offices in Germany, T&uuml;rkiye, Australia, New Zealand, Azerbaijan, Romania, and Mauritius, with plans for further expansion.
 
 
 
 
 
 As an international company, we are looking for a
 
 Business Analyst
 
 to join our
 
 Marketing &amp; Communications Department
 
 in
 
 Ankara.
 
 
 
 
 
 
 
 Position Overview
 
 
 
 The Business Analyst will play a key role in supporting INTEC&rsquo;s global marketing and business intelligence activities within the renewable energy, particularly in solar, and BESS sectors. This role involves tracking global and local market trends, gathering and analyzing data, and delivering actionable insights to support both country-level and global marketing strategies.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Track and analyze global renewable energy markets, focusing on Solar PV and BESS projects and developments.
 </li>
 <li>
 Research and maintain up-to-date information on market trends, project pipelines, and investment activities.
 </li>
 <li>
 Monitor and report country-specific regulations, incentives, and policy changes affecting the renewable energy sector.
 </li>
 <li>
 Support customer segmentation, CRM optimization, and data-driven marketing strategies.
 </li>
 <li>
 Prepare analytical reports, dashboards, and presentations to communicate insights and market outlooks.
 </li>
 <li>
 Contribute to the strategic planning process by providing data-backed recommendations.
 </li>
 <li>
 Collaborate with global and regional teams (Business Development, Project, Procurement, Technical, etc.) to ensure alignment and data consistency.
 </li>
 <li>
 Conduct competitive analysis to benchmark and identify growth opportunities.
 </li>
 <li>
 Maintain internal databases and market intelligence tools to enhance decision-making efficiency.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Economics, Statistics, Engineering, or Data Analytics.
 </li>
 <li>
 At least 5 years of experience in business analysis, market intelligence, or data analytics (preferably in the renewable energy, EPC, or industrial sectors, B2B focused business).
 </li>
 <li>
 Strong analytical and quantitative skills with proficiency in Excel, Power BI, or similar BI tools.
 </li>
 <li>
 Familiarity with renewable energy markets, project development cycles, and regulatory frameworks.
 </li>
 <li>
 Excellent written and verbal communication skills in English (additional languages are an asset).
 </li>
 <li>
 Experience with CRM systems (e.g., Salesforce, HubSpot) and marketing analytics tools.
 </li>
 <li>
 Strong Excel/Google Sheets and SQL skills; familiarity with statistical analysis a plus.
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex information for diverse stakeholders.
 </li>
 <li>
 Strong organizational skills, attention to detail, and ability to work cross-functionally in a fast-paced environment.
 </li>
 </ul>
 
 
</div>

Business Analyst

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