Top Data Analyst Jobs

The Data Analyst will manage data collection and reporting, develop visualizations, integrate data sources, and support decision-making processes.

The Senior Brand Data Analyst will design and implement data systems for invoicing, ensure financial data accuracy, and create reporting frameworks.

As a Product Data Analyst, you will analyze user engagement across platforms, support product strategies, and maintain data integrity for dashboards and events tracking.

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.

Analyze large datasets to identify device fraud patterns, collaborate on fraud prevention strategies, and investigate suspected fraud cases.

Lead the finance analytics function by developing data models, performing financial analysis, and ensuring data quality to support decision-making.

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

The Principal HR Data Analyst analyzes HR data to provide insights for business decisions, develops dashboards, and tracks metrics to support HR leadership.

The Onchain Data Analyst & Researcher conducts investigations into illicit blockchain activity, develops analytics methods, collaborates with teams, and monitors emerging threats.

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.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

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 Intern will assist with data quality checks, support data management projects, resolve discrepancies, and document data governance initiatives.

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

The People Data Analyst will translate complex workforce data into actionable insights, collaborate with clients, and contribute to data storytelling to improve organizational culture.

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 Research Data Analyst will process and enhance alternative datasets, improve data quality, create visualizations, and collaborate with various stakeholders.

The Lead Data Analyst will develop automated reporting solutions, analyze workforce performance data, optimize processes, and collaborate with cross-functional teams to enhance operational efficiency.