Top Remote Analysis Reporting Jobs in Pittsburgh, PA

The Senior Data Pipeline Engineer will manage and evolve Clever's data infrastructure, focusing on AWS, Airflow, Databricks, and ensuring reliable data ingestion and compliance.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

As a Data Analyst, Growth at Kraken, you will analyze complex marketing data to provide actionable insights that enhance client acquisition, retention, and decision-making through data engineering, reporting, and experimentation.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Data Analyst will own CX analytics, writing SQL, building dashboards, and translating data for non-technical stakeholders to improve operational efficiency.

The Senior Insight Analyst extracts and analyzes data to provide strategic insights, presents findings, manages projects, and mentors junior team members.

The Principal Data Scientist will lead measurement strategy for Zillow's advertising business, focusing on ad performance, experimentation, and data-driven decision-making to drive revenue growth and advertiser value.

The Insights Lead Analyst will lead the analytics strategy for clients, turning business objectives and performance data into actionable insights, while utilizing various business intelligence tools and methodologies.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.