Top Hybrid Data & Analytics Jobs
The Senior Data Analyst will support the Customer Success team by utilizing Python for statistical analysis and visualization, writing complex SQL queries, developing reports, identifying data trends, and communicating insights to stakeholders while ensuring quality and collaboration within the team.
As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
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The Data Analyst III will focus on supporting commercial stakeholders in Sportsbook and Casino strategy through data insights, financial forecasting, KPI reporting, and customer migration analysis. The role involves collaboration with other analysts to address business challenges and enhance commercial performance.
The Insights Analyst is responsible for analyzing data to provide actionable business insights, building reports and dashboards for sales teams, streamlining data usage through pipelines, and investigating performance trends. This role requires strong analytical skills and collaboration with cross-functional teams.
As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
The Security Analyst will enhance the organization's cybersecurity posture by monitoring security incidents, conducting assessments, implementing security measures, and collaborating with teams to address security issues. They will also participate in incident response and help develop security policies and training programs.
The Senior Research Associate will conduct laboratory experiments, analyze data, and document procedures while collaborating with the R&D team. Responsibilities include preparing and analyzing data, maintaining laboratory equipment, and helping with technical writing for user guides and publications.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
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