Top Hybrid Data & Analytics Jobs

Cox Communications is seeking a Sr. Data Analysis Engineer to join the Consumer Analytics team. Responsibilities include performing analysis, building models, developing database logic, and driving data-driven projects. Minimum qualifications include a Bachelor's degree and 4 years of experience in related fields, strong knowledge of programming languages and data visualization solutions, and the ability to work on multiple projects in a dynamic environment. Preferred qualifications include a related degree, experience on cloud platforms, and deep knowledge in core domains like analytics and finance.

As a Data Analyst II in the People Analytics team, you will support reporting needs, develop automation strategies, collaborate with stakeholders, create data visualizations, troubleshoot issues, ensure data governance compliance, manage multiple projects, and stay updated on emerging technologies.

Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.

Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.

The Business Systems Analyst will work with hardware partners to develop and maintain supply chain systems using Oracle SCM modules. Responsibilities include building product features on the Oracle fusion cloud stack, monitoring and iterating on launched products, and communicating with various teams. The role requires 5+ years of experience in Oracle ERP applications, SCM Cloud modules, REST and SOAP web services, BI reporting, and test planning.

Execute Business Intelligence Solutions & Insights initiatives, interpret data, create actionable insights, and drive long-term business results. Collaborate with analytics team leaders, partner with System Analyst/Data Engineer, and maintain data analytical tools. Must have a Bachelor's Degree and 2+ years of related work experience.

Leading a team of data scientists and analysts to research and build statistical, ML, and AI models to solve business challenges. Interacting with multiple teams across the global enterprise and driving data-driven transformation. Providing coaching, prioritizing projects, and executing on business results and analytics strategy.

Lead the technical design and development of cloud-enabled applications using various data tools and platforms. Develop data pipelines, databases, and AI apps. Provide technical support throughout the Agile lifecycle and ensure best practices are followed. Mentor and coach the technical team to push modern design and development practices.

Lead the technical design and development of cloud-enabled, DevOps, multi-platform applications. Develop data pipelines, construct databases, and strive for modernization and stability. Engage in solution design, automation, security assessment, performance tuning, and data enablement for analytical insights. Mentor and coach the technical team to promote best practices and modern design.

Lead the technical design and development of cloud-enabled applications, build data pipelines, databases, and data sources for ML and AI apps, provide technical support throughout the Agile lifecycle, and mentor the technical team to push best practices.

Responsible for providing clean data sets, modeling data, and enabling team members to use datasets for decision-making and growth. Requires expertise in SQL, Python, Tableau, and data warehousing architecture.

The Data Manager Sr at PNC is responsible for managing all aspects of organizational data, providing senior leadership, overseeing data integrity, and reviewing data policies and procedures. Required skills include Tableau, SQL, PowerBI, and Jira.

Manages all aspects of organizational data; establishes and maintains policies and procedures for planning, designing, and maintaining an information bank to ensure that data services are delivered in a high-quality and profitable manner.

Responsible for managing data and analytics as a product to support business critical use cases within the Enterprise Fraud Organization. Collaborate with technical teams on product development using agile practice methods. Partner with data scientists on AI/ML algorithms and tooling. Strong communication and presentation skills required.