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remote - data engineer analyst Jobs in Istanbul

remote - data engineer analyst

technical data analyst

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together &mdash; as individuals and as a team.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a highly analytical and detail-oriented
 
 Pricing Data Analys
 
 t to join our team, with a specific focus on competitive pricing analysis. In this role, you will be responsible for analyzing large datasets from internal and external sources to identify pricing trends, monitor market movements, and support strategic decision-making. You will work closely with cross-functional team to deliver insights that enhance our competitive positioning and drive business growth. The ideal candidate is not only technically proficient in SQL but also possesses strong business acumen and the ability to communicate complex data in a clear and actionable way.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Analyze competitive pricing data from various internal and external sources
 </li>
 <li>
 Translate complex data into clear, actionable recommendations for both technical and non-technical audiences.
 </li>
 <li>
 Monitor market trends, pricing changes, and competitor strategies to identify opportunities and risks.
 </li>
 <li>
 Work closely with pricing, product, and category teams to support pricing strategy and decision-making with data-driven insights.
 </li>
 <li>
 Create and maintain dashboards to effectively communicate findings to stakeholders.
 </li>
 <li>
 Use SQL to query large datasets, validate data quality, and perform exploratory analysis.
 </li>
 <li>
 Continuously seek ways to improve data quality, analytical processes, and efficiency of data collection.
 </li>
 <li>
 Develop and maintain data pipelines for automated extraction, cleaning, and updating of pricing and product data
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 
 
 
 <ul>
 <li>
 Undergraduate degree in a quantitative discipline
 </li>
 <li>
 Proven experience as a Data Analyst, ideally within the e-commerce or retail sector.
 </li>
 <li>
 Demonstrated ability to work with large, complex datasets, uncover trends, and translate data into actionable insights.
 </li>
 <li>
 A critical thinker with strong problem-solving skills and a natural curiosity to explore data and identify opportunities for business growth.
 </li>
 <li>
 Strong business sense and the ability to effectively communicate findings and recommendations to both technical and non-technical stakeholders.
 </li>
 <li>
 Advanced SQL proficiency for querying and manipulating data
 </li>
 <li>
 Excellent written and verbal communication skills in English
 </li>
 <li>
 Prior involvement in pricing analysis, market intelligence, or competitive benchmarking projects is a plus.
 </li>
 <li>
 Experience with Python or R for data analysis, automation, or building pipelines is also a plus
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 - Hybrid working model with flexibility:
 
 a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 
 - Customisable FlexBenefits budget:
 
 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.
 
 
 
 - Well-being support:
 
 Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
 
 
 
 - Personalised training allowance and learning opportunities:
 
 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.
 
 
 
 - Responsibility from day one:
 
 Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 
 - A diverse, international team:
 
 Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 
 - Opportunities to grow with the best:
 
 Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 
 - Meaningful connections beyond tasks:
 
 Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply today, we look forward to taking the next step with you.
 
 
 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>

Pricing Data Analyst

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com)
World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding. WBL services its loan portfolio and loan portfolios for third parties, specializing in the management of non-performing loan pools and REO.
WBL is a U.S.-based company with a 100% remote workforce.
This is a remote Contract/Consultant position.
Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
The job requires excellent oral and written command of the English language.
RESUMES MUST BE SUBMITTED IN ENGLISH.
Job Description:
The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis. 
Essential Functions:<ul>
<li>Ability to transform data, including bringing in data from multiple sources and creating programs to process and analyze it.</li>
<li>Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting.</li>
<li>Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
</li><li>Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks.</li>
<li>Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.</li>
</ul>Requirements<ul><li>
100% fluency in English, with exceptional English verbal and written communication skills</li></ul><ul>
<li>Bachelor&rsquo;s degree in Data Engineering, Finance.</li>
<li>2 years of experience in data engineering, finance, or related roles preferred.</li>
<li>Must have strong proficiency in Python, SQL, and Excel. (You will be tested)</li>
<li>Experience with Microsoft Fabric (preferred).</li>
<li>Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required.</li>
<li>You must have your own laptop or desktop to use (the company does not supply equipment)</li>
</ul>Benefits<ul>
<li>CONTRACT/CONSULTANCY POSITION</li>
<li>PTO Available</li>
<li>USD salary ($1000 - $1500)</li>
<li>100% Work from home</li></ul></div>

Remote - Data Engineer Analyst

Gram Games

<div><div>Who We Are:
Gram Games is the studio behind popular titles like 1010!, Six!, Merge Dragons!, and Merge Magic!, with more exciting projects in the pipeline. We are proudly part of the Zynga &amp; Take-Two Interactive family. We do things differently here: we work in small self-managing teams, giving you an incredible amount of ownership, autonomy, and impact.

At Gram, everyone is expected to have a razor-sharp focus on creating a tangible impact on their team, their work environment, and on the overall company strategy. If you are motivated by autonomy, constant improvement, collaboration, and a sense of belonging, this is the place for you.</div><h4 class="jobSectionHeader">
Position Overview:</h4>

As a Principal Data Analyst, you will play a key leadership role in driving Gram Games' data-driven culture and strategy. You will lead a team of data professionals while serving as a technical authority across the organization. Working closely with product teams, marketing team, and executive leadership, you'll develop innovative analytics solutions, establish data strategy frameworks, and create advanced predictive models that directly impact product performance, player experience, and business growth. Your expertise will influence critical decision-making at all levels and help shape the future of our games.
<h4 class="jobSectionHeader">
What You'll Do:</h4>
<ul><li>Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and fostering collaboration across teams</li>
<li>Define and implement our data strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio</li>
<li>Develop advanced machine learning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization</li>
<li>Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis, and LTV prediction</li>
<li>Design and oversee complex A/B testing frameworks to evaluate game features, marketing campaigns, and monetization strategies, monitoring results and delivering actionable recommendations</li>
<li>Translate complex technical concepts and analytical findings into clear, compelling narratives that drive strategic decisions at the executive level</li>
<li>Collaborate with engineering teams to implement data solutions in production environments and ensure data infrastructure meets the needs of data initiatives</li>
<li>Stay at the forefront of analytics advancements, evaluating new methodologies and technologies to maintain competitive advantage</li>
<li>Serve as the data authority in strategic planning sessions, using your expertise to influence product roadmaps and business strategy</li>
<li>Build strong relationships with key stakeholders across the organization to understand their needs and ensure analytics initiatives deliver measurable business impact</li>
</ul><h4 class="jobSectionHeader">What You Bring:</h4>
<ul><li>Genuine passion for video games and a deep understanding of the mobile gaming industry</li>
<li>5+ years of experience in analytics, with at least 2 years in a senior role, preferably in gaming or a similar digital product company</li>
<li>Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field</li>
<li>Expert knowledge of statistics, machine learning, and causal inference techniques with demonstrated ability to apply them to real-world business problems</li>
<li>Mastery of programming languages such as Python and SQL, with experience building production-level data science applications</li>
<li>Proven track record of leading successful analytics initiatives that delivered significant business impact</li>
<li>Experience with big data technologies and cloud platforms (AWS, Snowflake, etc.)</li>
<li>Strong project management skills with ability to prioritize, manage resources, and deliver complex projects on time</li>
<li>Exceptional communication skills with the ability to present complex findings to both technical and non-technical audiences</li>
<li>Deep understanding of performance marketing in mobile games, including user acquisition strategies, marketing attribution, ROAS optimization, and LTV modeling</li>
<li>Demonstrated leadership abilities, including mentoring data professionals and influencing cross-functional stakeholders</li>
<li>Strategic thinking with the ability to connect data insights to business objectives and drive organizational change</li>
<li>Experience with game analytics, player behavior modeling, and free-to-play monetization strategies is highly desirable</li>
</ul><div>
We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at jobs@gram.gs to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga's in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).</div></div>

Principal Data Analyst

<div>
 
 About World Business Lenders (www.wbl.com)
 
 
 
 World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding. WBL services its loan portfolio and loan portfolios for third parties, specializing in the management of non-performing loan pools and REO.
 
 
 WBL is a U.S.-based company with a 100% remote workforce.
 
 
 This is a remote Contract/Consultant position.
 
 
 Working hours will be 9:00am-6:00pm Eastern Time, Monday through Friday.
 
 
 The job requires excellent oral and written command of the English language.
 
 
 
 RESUMES MUST BE SUBMITTED IN ENGLISH.
 
 
 
 
 Job Description:
 
 
 
 The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments. The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.
 
 
 
 Essential Functions:
 
 
 
 <ul>
 <li>
 Ability to transform data, including bringing in data from multiple sources and creating programs to process and analyze it
 </li>
 <li>
 Maintain and update databases that store key financial and operational data. Ensure that data is structured efficiently for use in credit risk models and financial forecasting
 </li>
 <li>
 Collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
 </li>
 <li>
 Manage the collection and intake of large datasets from various sources. Ensure the accuracy and integrity of incoming data by conducting thorough validation checks
 </li>
 <li>
 Provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 100% fluency in English, with exceptional English verbal and written communication skills
 </li>
 <li>
 Bachelor's degree in Data Engineering, Finance
 </li>
 <li>
 2 years of experience in data engineering, finance, or related roles preferred
 </li>
 <li>
 Must have strong proficiency in Python, SQL, and Excel. (You will be tested)
 </li>
 <li>
 Experience with Microsoft Fabric (preferred)
 </li>
 <li>
 Experience with Microsoft: Outlook, Excel, Word, PowerPoint required; Teams experience required
 </li>
 <li>
 You must have your own laptop or desktop to use (the company does not supply equipment)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 CONTRACT/CONSULTANCY POSITION
 </li>
 <li>
 PTO Available
 </li>
 <li>
 USD salary ($1000 - $1500)
 </li>
 <li>
 100% Work from home
 </li>
 </ul>
</div>

OBSS

<div>
 
 
 Company Description
 
 
 
 OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 
 
 OBSS is looking for a
 
 Team Lead
 
 to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 
 
 
 
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Leading and mentoring a team of Data Analysts and Data Engineers within the regulatory reporting domain.
 </li>
 <li>
 Coordinating the review and maintenance of existing regulatory reports
 </li>
 <li>
 Driving the automation of manual and semi-manual reporting processes.
 </li>
 <li>
 Overseeing the preparation and delivery of regulatory reports (BDDK, MASAK, TCMB, etc.) accurately and on time.
 </li>
 <li>
 Supporting ad hoc reporting needs from business units as well as regulatory authorities.
 </li>
 <li>
 Ensuring the monitoring and reliability of daily ETL processes on MSSQL.
 </li>
 <li>
 Guiding data engineers in enhancing datamart structures for new reporting requirements.
 </li>
 <li>
 Establishing and enforcing documentation standards, reporting guidelines, and data quality procedures.
 </li>
 <li>
 Acting as the main point of contact between technical teams and business stakeholders for regulatory reporting needs.
 </li>
 </ul>
 
 
 
 
 This role requires
 
 hands-on regulatory reporting experience
 
 , strong
 
 SQL expertise
 
 , and proven
 
 leadership capabilities
 
 within the banking sector.
 
 
 
 
 
 
 Qualifications / Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Statistics or a related field.
 </li>
 <li>
 Minimum
 
 8-10 years of experience
 
 in regulatory reporting within the banking sector, with at least
 
 2 years in a leadership or coordination role
 
 .
 </li>
 <li>
 Strong knowledge of MSSQL and reporting processes.
 </li>
 <li>
 Demonstrated ability to manage and mentor teams, set priorities, and deliver results under strict deadlines.
 </li>
 <li>
 Solid SQL skills (queries, joins, views, stored procedures).
 </li>
 <li>
 PL&amp;SQL is a plus
 </li>
 <li>
 Hands-on experience with Excel/Power BI or similar reporting tools.
 </li>
 <li>
 Experience in data validation, data quality checks, and control processes.
 </li>
 <li>
 Strong communication, collaboration, and stakeholder management skills.
 </li>
 <li>
 Ability to prepare and enforce documentation such as data standards, procedures, and reporting guidelines.
 </li>
 <li>
 Detail-oriented, highly organized, and able to coordinate multiple priorities simultaneously.
 </li>
 <li>
 Experience in hybrid/agile environments is a plus.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 Professional Growth &amp; Learning
 
 
 
 As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 
 
 
 
 
 
 Company Culture and Values
 
 
 
 We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 
 
 
 
 
 
 Benefits and Perks
 
 
 
 We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 
 
 
</div>

Team Lead – Regulatory Reporting (Data Analyst Background)

Fundraise Up

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

Product Analyst, DX

Octet Turkey

<div>
 
 We are seeking a
 
 Business Analyst
 
 to strategize, design, and develop effective systems that enhance payment-related business processes. This role involves gathering, analyzing, and documenting business requirements to support impactful and data-driven decisions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with stakeholders to understand business needs and translate them into functional and technical requirements
 </li>
 <li>
 Manage multiple projects by maintaining documentation, defining project scope, adjusting schedules, and ensuring timely delivery of tasks
 </li>
 <li>
 Facilitate daily stand-up meetings with software and analysis teams to track progress and remove blockers
 </li>
 <li>
 Create and maintain comprehensive business analysis documentation including business requirement documents (BRDs), use cases, process flow diagrams, and UAT plans
 </li>
 <li>
 Design and execute test plans; support and monitor user acceptance testing (UAT)
 </li>
 <li>
 Act as a liaison between business teams and IT to ensure clear communication and alignment throughout the project lifecycle
 </li>
 <li>
 Prioritize tasks and manage internal and external stakeholder expectations
 </li>
 <li>
 Provide guidance to other analysts and support implementation efforts with development teams
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Management Information Systems (MIS), or a related field
 </li>
 <li>
 Minimum 3 years of experience as a Business Analyst, preferably in fintech, banking, or financial services
 </li>
 <li>
 Proficiency in process modeling tools (e.g., Visio) and the ability to analyze and map business processes
 </li>
 <li>
 Hands-on experience in writing user stories and defining acceptance criteria
 </li>
 <li>
 Experience conducting requirement analysis sessions with technical and business teams
 </li>
 <li>
 Familiarity with API testing tools such as Postman or SOAP UI
 </li>
 <li>
 Knowledge of BDD (Behavior-Driven Development) processes is a plus
 </li>
 <li>
 Strong analytical mindset and attention to detail
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to engage effectively across departments
 </li>
 <li>
 Comfortable working in a fast-paced, collaborative, and dynamic environment
 </li>
 </ul>
 
 
 
 
 
 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;z i&ccedil;in &lsquo;&rsquo;Ki&scedil;isel Verilerin &Idot;&scedil;lenmesine &Idot;li&scedil;kin Ayd&inodot;nlatma Metni&rsquo;&rsquo; &rsquo;ne web sitemizden ula&scedil;abilirsiniz.
 
 
</div>

Business Analyst

Explore 834+ Technical data analyst in Istanbul this October. Find roles across top companies and apply now to boost your career.

834 technical data analyst jobs IN Istanbul

Pricing Data Analyst

Remote - Data Engineer Analyst

Principal Data Analyst

Remote - Data Engineer Analyst

Team Lead – Regulatory Reporting (Data Analyst Background)

Product Analyst, DX

Business Analyst