Top Data Analyst Jobs in Turkey

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Analyze large datasets to generate performance marketing insights, build KPI dashboards and reports, develop data marts and data warehouse structures, visualize findings, and communicate recommendations. Design A/B tests, apply statistical methods, analyze product funnels, and identify opportunities across acquisition, re-engagement, retention, and the user journey. Partner with product and engineering teams to turn analyses into measurable business improvements.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Analyze large-scale data to generate insights for product, marketing, and business strategy. Build and maintain dashboards and reports using analytics tools, perform ad-hoc analyses, communicate findings clearly, and collaborate cross-functionally to define data requirements and support fast decision-making.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

The Data Analyst partners with product, business, and operational teams to define metrics, conduct deep-dive and ad-hoc analyses, and identify trends and opportunities. The role develops dashboards, reporting solutions, analytical models, and automated processes; translates ambiguous business questions into actionable recommendations; monitors performance; and communicates insights through visualizations and presentations. Strong SQL, statistical, BI, and communication skills are required, while Python, fintech, experimentation, and generative AI experience are preferred.

Analyze structured and unstructured conversational data to evaluate virtual assistant performance, improve intent recognition, identify customer journey friction, and support GenAI product optimization. The role involves data quality, reporting, stakeholder communication, data storytelling, and prioritizing analytics initiatives with Product Owners and business stakeholders. It requires strong SQL and analytical skills, Python or comparable tools, and experience with conversational AI, chatbots, virtual assistants, or intent engineering.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Build and maintain automated data pipelines, ETL/ELT workflows, quality checks, and cloud data integrations. Lead legacy-system migrations through schema mapping, transformation, reconciliation, validation, backfills, and cutover execution. Collaborate with technical and business stakeholders to ensure reliable data for reporting and analytics. The role requires strong SQL, Python, data modeling, orchestration, monitoring, version control, and data engineering best practices.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Analyze product and marketing data for mobile games, build dashboards and reports, write SQL queries, verify data integrity, evaluate initiatives, and provide actionable recommendations. The role also involves configuring analytics and visualization tools, synthesizing information from multiple sources, and promoting data-informed decision-making across the organization.

Collect, analyze, and interpret data to support data-driven decision-making and strategic business initiatives. Create actionable insights and compelling visualizations using SQL, Tableau, and Power BI. Collaborate directly with the CTO and organizational teams in an exclusively on-site Antalya office environment.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Build and maintain dashboards, analyze large datasets to surface actionable insights, ensure data accuracy and integrity, and develop scalable analytics deliverables to support product and marketing decisions.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

The Data & Monetization Analyst will design A/B tests, analyze KPIs, develop player segmentation tools, and support multiple teams with data insights.