Top Hybrid Entry Level Data & Analytics Jobs
The Paid Social Analyst at Tombras will support media initiatives, analyze data, assist in paid social execution, and collaborate with team members to optimize paid media performance. The role requires a data-driven individual with strong analytical skills and a passion for digital marketing.
Seeking a talented Data Analyst to contribute to the growth of a video foundation model platform. Responsibilities include analyzing product, marketing, and sales data to define metrics and actionable insights, collaborating with teams to identify trends and opportunities, and communicating findings to senior leadership.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
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As an Accreditations Analyst at Parallel Markets, you will review accredited investor applications, verify documentation, and communicate with clients to ensure a smooth onboarding process. You'll handle customer inquiries, assist in regulatory compliance reviews, and adapt to various operational roles in a dynamic start-up environment.
The Support Analyst at PlayOn will provide expert technical assistance to clients, anticipate their needs, and resolve issues proactively. Responsibilities include making calls to clients, diagnosing technical problems, enhancing customer experience, and improving support processes in a fast-paced environment.
The WFM Short Term Planner Analyst (Outbound) focuses on forecasting staffing needs for outbound and blended lines of business using Excel and WFM scheduling solutions. Key responsibilities include developing staffing forecasts, communicating staffing plans, analyzing performance, and creating reports and scripts for data analysis. Strong communication skills and adaptability to business changes are essential.
The Data Scientist role at HUMAN involves conducting research in emerging product capabilities to identify fraud, developing automated fraud detection techniques, supporting experiments on prospects and clients, and actively participating in team responsibilities like reviewing work and monitoring anomalies.
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