Top Data & Analytics Jobs

The PPM Data Scientist/Statistician II will support data management and analysis for the Department of Commerce. Responsibilities include data analysis, resolving data issues, data mapping, ETL activities, and communication with project teams. Requires a BA/BS in relevant fields, strong analytical skills, and proficiency in tools like Microsoft Office, R, SQL, and Python.

The Senior Associate, Data & Technology role focuses on managing eDiscovery projects, coordinating with clients, applying forensics and predictive analytics, analyzing unstructured data, ensuring deliverable accuracy, and supporting project leads, all while utilizing advanced technologies to improve case strategies and reduce discovery costs.

The Junior Data Engineering Analyst is responsible for developing application systems, consulting with users, analyzing data, and ensuring compliance with regulations. The role includes testing, debugging, and advising lower-level analysts, with a focus on maintaining high-quality performance under pressure.

This role involves supporting a U.S. scientific agency with data analysis, identifying and resolving data issues, performing ETL activities, data management, and aiding program support. The Data Scientist/Statistician will also handle financial data reconciliation and communication with various teams.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

The PPM Data Scientist/Statistician II will analyze data for the Department of Commerce, identify and resolve data issues, perform data management and ETL processes, and support financial data evaluations. The role demands strong analytical skills and proficiency in various IT systems, particularly in areas related to data and project management.

The Principal Data Scientist will work with various data sources to build predictive models that enhance revenue expansion and reduce churn for enterprise software companies. They will collaborate with stakeholders to improve model accuracy, innovate on data science opportunities, and partner with engineering to ensure scalable data science infrastructures.

The Senior Data Scientist role involves identifying data sources, developing and deploying analytical models, coding, conducting data quality checks, and creating visualizations. It requires a solid understanding of the business domain, strong coding skills, and the ability to mentor junior associates. The role emphasizes delivering data-driven insights to enhance business performance and strategic decision-making.

As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.

Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.

The role involves leading the design, implementation, and maintenance of data collecting systems, such as data pipelines and lakes. It includes collaborating with data scientists on machine learning models and advising leadership on strategies and solutions based on data analysis.

Seeking a seasoned leader in data analytics with a passion for mobile games to work alongside product and marketing teams. Responsibilities include monitoring player behavior, identifying KPIs, translating data into insights, setting up user analytics tools, and recommending product features. Qualifications include 4+ years in analytics or related role, extensive knowledge of data analysis techniques and SQL, experience in mobile app or game environment, and a passion for games.

The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.

The Data Engineer III is responsible for data transformation, integration, and modeling to create effective data solutions. They will develop code, conduct testing, establish data governance, and provide business recommendations. Collaboration with stakeholders for data understanding and compliance is also vital.

As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.

The Senior Analytics and AI Specialist will lead and manage analytics projects, develop advanced analytics models, and utilize AI techniques to drive innovative solutions. This role involves collaboration with corporate teams and mentoring junior members to enhance data-driven decision-making capabilities.

The Lead Data Analyst/Scientist will analyze large datasets, create visualizations and reports, develop predictive models, and derive actionable insights to enhance operations for senior living communities. The role involves collaborating with teams to understand data needs and staying updated on data science advancements.