Top Data Analyst Jobs in Turkey

The Data Analyst will collaborate with stakeholders to analyze payment data, develop dashboards, optimize monitoring tools, and drive decision-making improvements.

Analyze and extract insights from complex data sets, ensure data quality, communicate findings to stakeholders, and implement data governance standards.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

As a Data Analyst at bitaksi, you'll transform data into actionable insights, collaborate with teams to enhance business strategies, create dashboards, and conduct analyses to identify growth opportunities.

You will analyze performance marketing data, create reports for campaigns, and work closely with product and marketing teams to deliver actionable insights.

Analyze data to improve operational performance, design models, and monitor metrics for e-commerce. Collaborate across teams to enhance strategies with data-driven insights.

The BI Data Analyst designs and maintains BI solutions using Power BI. Responsibilities include collaborating with stakeholders, developing datasets and reports, and promoting BI adoption across the organization.

The Data Analyst will analyze large-scale data to provide insights for product and marketing improvements, build reports, and collaborate with cross-functional teams.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The data analyst defines success metrics, provides analytical solutions, develops dashboards, conducts analyses, and translates data into actionable insights to support business teams.

The Data Analyst will define success metrics, analyze product performance, create dashboards, and support product teams with insightful data-driven solutions.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

As an Algorithm Engineer, you will design procedural level-generation systems, develop Python tools for creating game levels, and write SQL queries to analyze databases.

The Pricing Data Analyst will analyze competitive pricing data, monitor market trends, create dashboards, and provide actionable insights to drive growth.

As a Data Analyst, you'll support data preparation and analysis, create dashboards, generate reports, monitor data quality, and collaborate with stakeholders.

As a Data Analyst, you'll turn complex data into actionable insights, define success metrics, and develop automated dashboards to support decision-making and growth across teams.

As a Data Analyst, you will create analytical models, build dashboards, and run A/B tests to enhance seller growth and performance.

As a Data Analyst at Spyke Games, you will analyze data to optimize mobile games, create dashboards, and support decision-making with SQL.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

As a Senior Data Analyst, you will analyze data to generate insights, create reports and dashboards, and collaborate with product teams, driving strategic decisions based on data.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

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