Top Data & Analytics Jobs
As a Data Operations Coordinator, you will assist in customer satisfaction by responding to inquiries and maintaining data integrity. This includes auditing information, resolving issues, and improving processes to enhance customer experience.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
The SVP of Data will lead Flex's data organization, overseeing teams in data infrastructure, analytics engineering, and machine learning. Responsibilities include aligning data architecture with business operations, driving data-driven decisions, and mentoring talent while ensuring effective collaboration across teams.
Featured Jobs
As a Data Engineer, you will be responsible for maintaining, cleaning, and manipulating data in operational and analytics databases. You will design and develop Snowflake data warehouse solutions, implement ETL processes, work with data suppliers, and collaborate with cross-functional teams to deliver data solutions while staying current with industry trends.
The Data & Analytics Engineer will develop scalable data pipelines, create data visualizations, and implement reporting infrastructure to support business decision-making, utilizing tools such as Snowflake, Tableau, and Python while thriving in a fast-paced environment.
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The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.
As a Senior Data Scientist, you will lead the development and deployment of machine learning models, mentor junior data scientists, and collaborate with various business teams. You will design data products, ensure model quality, and promote good practices within the data team.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.
The Senior Analytics Engineer at Druva will develop data models, reports, dashboards, and Data Apps, facilitating decision intelligence and a data-driven culture. Responsibilities include managing data requests, maintaining analytic databases, ensuring data quality, and collaborating across teams to provide actionable insights.
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