Top Data Analyst Jobs

The Data Analyst will transform data into insights for product decisions, utilizing SQL for analysis, A/B testing, and constructing dashboards for stakeholders.

As a Data Analyst, you will build dbt models in Redshift, maintain data pipelines, and provide insights to enhance customer decisions while collaborating with internal teams.

As a Data Analyst at Blue Rose Research, you will design surveys, manage data collection, analyze data, and compile insights for political strategists, working closely with a diverse team and stakeholders to provide strategic guidance.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

Conduct data analysis to improve user experience on websites, utilizing Google Analytics and Shopify for insights and A/B testing.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

Analyze product and business data to define KPIs, build reliable analytics models and dashboards, and partner with cross-functional teams to surface insights, improve data quality, and support forecasting and experimentation.

The Marketing Data Analyst will analyze performance data across marketing and sales channels, develop dashboards, and provide insights to improve customer engagement and ROI.

Support analytics and reporting for clients: translate business questions into analytical requirements, analyze data for insights, build and maintain dashboards and reports, document metrics, collaborate on data modeling, validate data quality, and communicate findings to stakeholders.

Business Data Analysts will engage in cross-functional analytics problems, utilizing data to drive business improvements across Marketing, Analytics, and Engineering teams.

Collect, analyze, and interpret communications data to evaluate campaign effectiveness, develop dashboards and databases, conduct audience research, and produce reports and visualizations informing strategic communications and stakeholder engagement.

The Data Analyst will develop analytics systems, create reports, evaluate internal systems, and provide actionable insights to improve business performance.

Support enterprise data warehouse data accuracy and completeness: analyze and resolve data issues, create and load source-to-target mappings, validate ETL code, and consult reporting teams on variances.

Support and optimize clinical and business applications: analyze needs, evaluate releases, perform workflow assessments, develop and execute test plans, manage incidents/changes, provide on-call support, and coordinate application-related projects and implementations.

The Project Analyst - AI & Data Transformation coordinates program delivery, financial governance, and reporting for AI and data initiatives, ensuring projects are on time and budget.

The role involves interpreting, validating, and structuring private equity investment data, collaborating with teams, and communicating with investment managers, while improving internal processes and data standards.

The Data Conversion Business Analyst will identify business requirements, support data migration, conduct data analysis, validate results, and manage documentation.

This role involves analyzing complex call center data, designing data lakes, and leading initiatives for BI and predictive modeling using advanced technologies.

Responsible for data analysis and modeling to optimize pricing strategies, support business decision making, and mentor junior team members.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

The Data Quality Analyst ensures data accuracy by validating reports using SQL, collaborates with BI teams, develops test plans, and documents issues.

The Data Architect will design and build a unified reporting and analytics foundation for Taylor Corporation, transforming disparate data sources into a cohesive model to support decision-making. Responsibilities include collaborating across teams, leading data modeling efforts, and ensuring effective reporting practices across the division.

The Data Integration Senior Analyst is responsible for managing data integrations, ensuring data quality, troubleshooting issues, and supporting analytics and reporting across systems.

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.

The Drilling Data Analyst monitors and analyzes drilling data to ensure accuracy and timeliness for real-time decision-making while supporting customers and optimizing operations.