Top Data & Analytics Jobs

Looking for a Product Engineer with 10+ years of experience in Data Analytics, specializing in Data Engineering and Product development. Must have expertise in Python and experience with multiple backend languages, APIs, databases, and cloud platforms like AWS. Strong communication and teamwork skills are a must.

The Manager of Data Engineering at The Hartford is responsible for optimizing data systems, building data pipelines, and supporting various data initiatives. This role involves working on Cloud/Hybrid architectures, continuous integration, and data engineering practices. The candidate will stay updated on emerging data technologies and collaborate with cross-functional teams to drive project and portfolio strategies.

The Data Scientist II will focus on content classification use cases, collaborate with data scientists and engineers to operationalize projects, and leverage algorithms including NLP and machine learning models. Responsibilities also include processing data and educating stakeholders on project outcomes.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

As a Data Management Consultant III, you will develop training programs on data management for bank teams, focusing on data governance, quality, and lineage. You will conduct workshops, evaluate training effectiveness, and liaise with vendors to align training with bank goals. Additionally, you will uphold the company’s risk standards and support diversity within the workplace.

The Master Data Administrator role is responsible for the accurate creation and maintenance of Customer/Vendor master data for multiple Zeiss business groups in SAP. Key responsibilities include maintaining customer and vendor accounts in SAP, adhering to global data standards, and following complex procedures.

The Data Engineer will architect, implement, and maintain data infrastructure to ensure quality and consistency. Responsibilities include collaborating with business partners on data engineering requests, utilizing SQL and Python for data integration, and supporting BI platforms while adhering to data management best practices.