Top Senior Level Analytics Jobs
The Business Development Analyst will collaborate with the team to develop dashboards, conduct market research, and assist in identifying and qualifying bid opportunities to support organizational growth.
The Red Team Specialist III will simulate threat behavior through penetration tests on customer networks, conduct research on exploitation techniques, and design test environments. They will manage multiple engagements while having a strong grasp of emerging threats and vulnerabilities.
The AI, Data Strategy and Integration Lead will develop and implement a long-term data strategy to support Golin's AI transformation. Responsibilities include managing data lakes, establishing data governance, acquiring data, integrating AI tools, and fostering data-driven innovation across the agency.
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The Senior Sales Strategy Analyst at Elastic will be responsible for end-to-end strategy and operations for Elastic's Solutions Architect organization. This role involves collaborating with various departments to enhance programs, analyze data, drive growth, and support sales efficiency. The ideal candidate will have 6+ years of experience in Sales Operations, Strategy, or similar fields in SaaS organizations.
Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.
As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
Seeking a Product and Business Analyst to support Credlens' mission by driving research, analysis, and strategy development. Responsibilities include data partner evaluation, ecosystem partner identification, policy research, market analysis, product development support, stakeholder communication, and strategic insights.
The Lead Cloud Hybrid Database Administrator manages enterprise database infrastructure across on-premises and public cloud environments. Responsibilities include supporting Microsoft SQL systems, Azure databases, and other data stores, ensuring database performance and security, and developing automation solutions for deployment and administration. The role involves collaborating with stakeholders and IT teams to deliver projects and address production issues.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
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