Top Analytics Jobs in Raleigh, NC

The BW/HANA Analytics Consultant will analyze HANA Calculation views, recommend performance improvements, and collaborate with clients on analytics transformation.

The role involves strategic business analysis, technical expertise in cloud platforms, data engineering, analytics, and project management to drive data initiatives.

Guide the evaluation and integration of SAP SuccessFactors and data analytics solutions, ensuring comprehensive insights and stakeholder collaboration.

As a Senior Analytics Engineer, you'll scale reporting infrastructure, transform raw data into insights, optimize SQL queries, and enhance Tableau dashboards, focusing on data quality and collaboration with stakeholders.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Staff Data Scientist will oversee Foodsmart's member growth analytics, focusing on marketing and product funnel optimization, experimentation, attribution modeling, and enhancing self-service analytic tools while collaborating closely with leadership and cross-functional teams.

The Principal Data Scientist will lead analytics for Mortgage sales, focusing on customer retention and lead optimization. Responsibilities include applying advanced analytics to enhance marketing strategies, conduct customer segmentation, and oversee lead generation processes. This role requires strong programming skills and collaboration with business partners to communicate insights effectively.

The role involves building analytics tools and frameworks to support Airbnb's international growth strategy, requiring deep data expertise and collaboration with various teams.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.

The Associate Director drives analytics solutions for Clinical Operations, enhancing productivity, reducing inefficiencies, and aligning business needs with advanced analytics capabilities. They lead the enhancement of the analytics platform, manage stakeholder communication, and contribute to system testing and project leadership.

The Head of HR Analytics leads analytics initiatives within HR, designing strategies to derive insights from data that support decision-making and improve workforce planning.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Director of Analytics and Performance will manage campaign analytics, provide insights and strategies for healthcare clients, and collaborate with internal teams and external agencies.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

As an Analytics Manager, you will lead measurement strategies, oversee experimentation, and help clients interpret digital marketing effectiveness using advanced analytics methods and AI tools.

The Analytics Business Analyst will define client requirements, collaborate with developers, and develop Analytics applications, ensuring customer satisfaction and effective project delivery.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.