Top Data & Analytics Jobs

The Analytics Engineering Manager will lead a team to drive growth using data by managing analytics projects. This role involves collaborating with business stakeholders, implementing data-driven solutions, and executing plans involving data ingestion, governance, and machine learning, alongside coding in Python and SQL. Responsibilities include project management, developing dashboards, and presenting outcomes to senior leadership.

The Business Intelligence Developer will be responsible for pulling data from various sources, optimizing ETL processes, and developing data visualizations. The role involves working closely with different teams to translate business requirements into technical specifications and maintaining the BI infrastructure.

The Business Analyst will provide analysis, design, and consulting support in the retail energy sector, focusing on requirements gathering, documentation, and optimizing business processes. Key responsibilities include conducting client meetings, creating business requirement documents, and developing project plans while ensuring alignment between client needs and IT applications.

The Data Warehouse Technologies Developer is responsible for technical support and development of Data Warehouse technologies focusing on Snowflake, SQL, Azure, and HANA. Responsibilities include enhancing data models, ETL activities, executing proof of concepts, and collaborating on business requirements.

This role requires analysis, design, and consulting for clients in the energy sector, focusing on bridging user needs and IT applications. Key responsibilities include documenting requirements, developing business process models, conducting market analysis, and producing high-quality consulting deliverables. Understanding energy trading and risk management is crucial.

As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.

As a Competitive Intelligence Manager at Chime, you'll research and analyze competitors and market trends, turning complex data into actionable recommendations for leadership. You will collaborate with sales, marketing, and product teams to integrate competitive insights into decision-making and create frameworks that showcase Chime's value proposition.

The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.

As a Machine Learning Engineer at Navan, you will enhance the ML infrastructure, design and implement MLOps architectures, and collaborate with teams to deploy ML models. You will also focus on optimizing ML pipelines, best practices for model management, and improving workflow efficiency within a fast-paced environment.

The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.