Top Analytics Jobs in Pittsburgh, PA

The Databricks Architect is responsible for designing and implementing scalable data solutions, optimizing performance, and leading initiatives within a dynamic team environment.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Responsible for deploying, validating, and improving machine learning solutions, building data pipelines, and collaborating with teams to ensure business value.

Responsible for designing and implementing scalable solutions on Azure, focusing on UAM architecture, security analysis, and Azure AD integration.

Lead the implementation of data quality frameworks and solutions. Collaborate with stakeholders to ensure data governance standards while managing large-scale data quality projects.

Responsible for deploying and improving MLE solutions, building production data pipelines, and writing scalable machine learning systems while collaborating with teams to drive strategy and communicate results.

The Senior Analytics Consultant develops data-driven business insights and analytics solutions to enhance customer experiences and drive revenue. They lead client engagements, manage expectations and contribute to practice development while staying updated on analytics trends.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The Senior Analytics Consultant develops business insights and drives customer experiences through data analysis, modeling, and visualization, while managing client relationships and expectations.

The DS/AI Tech Partner will lead business development in AI/ML, design enterprise-level data science solutions, and drive strategic initiatives, while mentoring teams and delivering client-specific outcomes.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

Lead the analysis of game data, creating A/B tests and recommendations for user acquisition, while presenting insights to clients. Manage data integrity with engineers using SQL and BI tools.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.

Lead the Capital Markets Risk Data Analytics team, oversee model development in sanctions, fraud, and AML, and drive innovation in analytics.

The Senior Data & Analytics Lead will provide advanced financial models, actionable insights, and data-driven recommendations to optimize business performance and support decision-making across the organization.

Lead data engineering, analytics, and automation efforts at Alt. Oversee ETL pipelines, analytics engineering, and AI-driven automation solutions while managing a multidisciplinary team and enhancing company data capabilities.

Lead and expand analytics capabilities at Yassir, overseeing a team to deliver insights for strategic decisions and operational excellence.

The Senior People Analytics and Compensation Manager will establish foundational analytics, provide data-driven insights, and manage compensation programs, utilizing SQL and data visualization tools.

The Senior Sales & Marketing Analytics Manager will drive data-driven insights and reporting for Sales and Marketing, collaborating with Finance and Product teams to enhance operational efficiency using AI-driven programs.

Develop and maintain a workflow management tool for utility companies, collaborating with teams and ensuring application quality and integration.

As a Corporate Recruiter, you will manage the full-cycle recruiting process, advise hiring managers, and ensure a positive candidate experience while striving for recruiting excellence and data integrity.

The Associate Director, Pipeline Analytics will lead data-driven insights, predictive modeling, and portfolio prioritization in oncology R&D to optimize asset development and commercialization strategies.

The Managing Director leads client engagements in strategic finance and analytics, spearheads innovative solutions, and develops high-performing teams for middle-market clients.