Top Data Analyst Jobs in Turkey

As a Staff Data Analyst, you will influence Upstart's capital strategy by collaborating with teams across the organization, developing financial models, and mentoring junior members.

The Data Analyst will engage with customers to define business objectives, analyze data, create reports, communicate findings, and improve processes. The role requires collaboration across teams and a focus on quality and efficiency in data analytics.

As a Summer Intern, support the Advanced Markets function with market analysis, data validation, and automation opportunities using visualization tools.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

The Data Analyst will provide insights to drive business decisions, collaborate with stakeholders, develop KPIs, and support data-driven strategies.

The Data Analyst will derive actionable insights across teams, manage KPIs and dashboards, and improve data reporting processes.

The Operations Data Analyst role involves analyzing data to support manufacturing processes, requiring proficiency in SQL, Power BI, and statistical techniques.

Lead data quality initiatives and governance efforts using various tools, collaborate with teams to resolve technology issues, and maintain data catalog and lineage.

The Principal Data Analyst at Capital One will analyze complex data, develop BI tools, and ensure data quality management while collaborating with different business units.

The Data Analyst will conduct product analyses, build predictive models, clean and manage datasets, and communicate findings to various stakeholders.

The Data Operations Analyst will oversee document collection processes, drive enhancements, collaborate across teams, and provide data-driven solutions.

As a Principal Data Analyst, you will leverage analytic skills to manage data solutions, drive business insights, and ensure data quality in marketing communications.

As a Data Analyst, you will analyze investment management data, develop data solutions, and ensure data accuracy while collaborating with various teams.

The role involves developing BI pipelines, collaborating with various teams for regulatory data delivery, ensuring data integrity, and monitoring regulatory changes.

As a Principal Data Analyst, you will develop innovative data solutions, provide business intelligence, and ensure data quality management, utilizing various data scripting languages and AWS services.

The Data Insights Analyst will analyze data, create visualizations, and develop metrics to provide actionable insights for business solutions.

As a Sr. Data Analyst, you will innovate data solutions, provide business intelligence tools, and manage data quality principles to solve business problems.

The Staff Data Analyst will analyze customer data to provide insights, create dashboards, report on customer health, and support decision-making for operations teams.

The Senior Data Analyst will generate insights from data sets, optimize user engagement, and support business initiatives through analysis and reporting.

The Senior Data & Reporting Analyst will create dashboards and reports, analyze sales data, and support strategic decisions in a collaborative environment.

The Senior Data & Reporting Analyst will design and maintain dashboards and reports using Salesforce and Power BI, analyze data trends, support operational decisions, and ensure data quality for sales performance and strategy.

The Senior Analyst 1 will enhance customer experiences by analyzing diverse data sources, managing experiments, and collaborating across teams to improve operations and retention.

As a Data Scientist/Analyst, you'll develop and model data to support decision-making, conduct data analysis, and manage analytics requests to create dashboards.

Analyze data to identify trends and insights in banking products, build dashboards, support decision-making, and enhance the customer experience.

The Senior Data Analyst will partner with various teams to develop insights for customer optimization, manage data governance, and create data products, while effectively communicating findings across the organization.