Top Data & Analytics Jobs
As a Lead Data Engineer, you'll design and maintain data lakes and warehouses, develop data management processes, implement data security and governance measures, and ensure high data quality. You'll collaborate with engineers, apply Agile methodologies, and oversee the complete lifecycle of complex data systems.
The Lead Data Scientist at CoinFlip will develop the vision and strategy for data science initiatives, lead a high-performing team, and collaborate across functions to apply data science for business growth and efficiency. Responsibilities include overseeing the full ML/AI development cycle and mentoring team members.
The Revenue Analyst will focus on revenue analysis, reporting, and accounting. Responsibilities include managing revenue processes, ensuring compliance, performing variance analysis, overseeing billing, and producing cash flow projections. The role also involves collaborating with stakeholders and supporting end-of-month closings.
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The Principal Enterprise Analyst, Power BI will work closely with internal business customers to understand Data and Analytical needs and create beautiful dashboards that provide insight into business problems. Responsibilities include data analysis, dashboarding, quality assurance testing, and training Power BI Champions within the business teams.
Responsible for creating and developing solutions for business problems using data mining and analytics. Leverages innovative analytical techniques to uncover patterns and trends in data. Utilizes data visualizations to implement and socialize actionable and implementable insights with business partners.
The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.
As a Data Scientist at Micron Technologies, you will analyze large datasets related to semiconductor manufacturing to derive insights. You'll develop predictive models, perform anomaly detection, and collaborate with engineers to improve product yield and quality, while also creating visualizations to communicate your findings effectively.
The FP&A Data Analytics Engineering Supervisor applies software engineering principles to develop data models and products that address and solve business critical problems. They collaborate with data scientists, data engineers, and data analysts to transform raw data into business logic and consumable information. They demonstrate a deep understanding of data sources, data transformation, methodologies, and how the information from the models support key business processes. They leverage strong communication skills to ensure consistent understanding and alignment across the team.
The Analytics Engineer will design scalable analytics solutions using DevOps methodologies and Microsoft PaaS platforms. Responsibilities include data modeling, leveraging Azure services and Power BI, and assisting in the development and implementation of analytics solutions to drive business value.
Alliant Energy is seeking a Senior Data Engineer with expertise in Snowflake, Informatica, and Python to lead the design, development, and maintenance of data pipelines. Responsibilities include building and maintaining integrations, conducting data analysis, implementing data management best practices, and providing mentorship to analysts. This is a hybrid position based in either the Cedar Rapids, IA or Madison, WI office.
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