Top Data Analyst Jobs in Turkey

Define, document and govern conceptual business data models and information objects across enterprise platforms. Maintain information object inventories and business glossaries, align conceptual models with enterprise architecture standards, and collaborate with Enterprise Architecture, Data Governance and business stakeholders to support adoption across transformation initiatives.

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.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

The Lead Data Analyst will mentor the data team, analyze player behavior and game metrics, create dashboards, and enhance data quality for strategic decisions.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game performance.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

Analyze and cleanse raw data, build and maintain data pipeline architecture, and generate actionable business insights. Promote a data-driven culture, plan and execute BI projects, and apply predictive modeling, machine-learning, clustering and classification techniques. Create dashboards and reports (Tableau, Looker) to improve product and customer analytics and business processes.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

Analyze player behavior to produce actionable insights, build Python tools and algorithms for procedural level generation, automate testing/validation of generated levels, write SQL queries to extract data, and create clear visual reports for technical and non-technical stakeholders to guide product decisions for mobile games.

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.

Analyze large-scale data to extract insights for product, marketing, and business strategy; build and maintain dashboards and reports (Looker, Google Sheets), perform ad-hoc analyses, define data requirements with stakeholders, and communicate findings to drive decisions.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Support a UK healthcare/pharmacy client in enterprise data strategy, governance and data quality. Coordinate data backlog, establish governance and ownership models, contribute to customer data strategy, and help define reporting and analytics operating models. Prepare analysis, documentation and recommendations for programme decision-making.

Support ingestion and basic cleansing of structured datasets, perform data entry and validation, run predefined queries and scripts, document data flows and processing steps, flag anomalies, and assist senior analysts while participating in requirements sessions.

Validate and reconcile fund and financial data, investigate and resolve data issues, own daily operational workflows, partner with data and engineering to improve quality, and build/document scalable procedures to support private-markets operations.

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