Top Data Analyst Jobs in NYC, NY

The Data Analyst III will manage the analytics lifecycle for business areas, create dashboards, write SQL and Python code, and mentor other analysts while collaborating across departments.

As a Data Analyst II, you'll enhance reporting capabilities and collaborate on data insights across teams, utilizing visualization tools and Python for automation.

The Data Analyst will analyze caller behavior data, design Tableau reports, and provide insights to improve customer experience in IVR applications.

The role involves conducting data analyses for PBM clients, creating insights, and supporting strategic decisions to optimize services. It includes mentoring junior analysts and presenting complex data findings effectively.

The Data Analyst I at Acorns will analyze data, optimize customer journeys, and collaborate with teams to provide actionable insights for product improvement.

Analyze media performance data to guide buying decisions, build predictive models and dashboards, and evaluate a media optimization platform.

Analyze large financial datasets, extract insights, and support client reporting. Collaborate with engineering on product solutions in structured finance.

The Data Analyst will elevate decision-making through data insights, manage datasets, design dashboards, and lead cross-functional projects to optimize operational performance within the Fintech sector.

The CRM Data Analyst will analyze customer and transactional data, enabling insights that drive marketing strategies for acquisition, engagement, and retention. Responsibilities include A/B testing, dashboard maintenance, and collaboration with various teams to ensure data accuracy and effectiveness in marketing initiatives.

As a Data Analyst Consultant, you will receive immersive training in data visualization using Tableau and Alteryx, tackling real-world data challenges post-training.

The Data Analyst will analyze trends, design dashboards, optimize data collection, and collaborate on A/B tests to enhance user experience.

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.

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.

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.

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.

Looking for a Senior Data Analyst to analyze large datasets, develop dashboards, optimize business performance, and mentor juniors. Requires strong SQL, Python, and data visualization skills.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

As a Data Analyst, you will transform data into insights, lead projects across various teams, and maintain interactive dashboards using Power BI and SQL.

The Data Analyst will provide analytical support, create business reports using Excel, SQL, and Tableau, develop processes to optimize operations, and support diverse teams with data analysis.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

As a Sr Supplier Quality Engineer Data Analyst, you'll analyze supplier quality data, develop dashboards, and collaborate with teams to enhance product quality and delivery.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Sr Analyst will develop data pipelines, collaborate with data teams, design reporting solutions, analyze data sets, and maintain data quality.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

The Data Analyst will measure performance by creating metrics, dashboards, and insights to drive commercial growth and operational excellence, using SQL and Python alongside stakeholder engagement.