Top Data & Analytics Jobs

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Supply Chain and AI Innovation Analyst will design and implement analytics and AI solutions to improve operational efficiency and decision-making across the company, collaborating with various departments to enhance data visibility and system integration.

Support LP Analyst's business strategy and client solutions by engaging in marketing efforts, conducting relationship development, and assisting in data analytics tasks.

Develop and test trading systems using machine learning to analyze market data, working with traders and developers on trading strategies.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

As a Salesforce Technical Architect focused on Data & AI, you'll design and implement solutions using Salesforce Data 360, oversee technical projects, collaborate with various stakeholders, and mentor junior staff to drive AI innovations.

The Insights Associate will develop qualitative and quantitative research, analysis plans, and model insights for client strategies, while managing projects and communication.

The PLEXOS Modeling Consultant develops and evaluates models using PLEXOS software, collaborates with teams on modeling strategies, translates data into visual formats, and communicates findings to clients, promoting solutions to energy-related issues.

As a Quantitative Researcher, you will develop trading strategies and improve predictive models using statistical and machine learning algorithms, while collaborating with trading teams.

The Data Analyst will conduct data analysis, create visualizations, and collaborate with teams to derive actionable insights for DOW's contract, ensuring data integrity and security.