Top Remote Senior Level Analytics Jobs

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.

The Principal Researcher will enhance research by analyzing publications, evaluating research ideas, implementing prototypes or production software, and communicating findings. The role requires collaboration with researchers and the application of knowledge in cryptography, distributed systems, and algorithms.

As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.

The Manager of Marketing Technology and Data Operations oversees the marketing technology stack at Berklee College of Music, managing platforms like Salesforce Marketing Cloud, optimizing data capture, and ensuring effective marketing campaign execution. This role involves collaboration with stakeholders to enhance workflows, improve customer engagement, and support data-driven decision-making.

The Senior Renewals Analyst at Veracode will manage customer renewals, identifying roadblocks and ensuring smooth contract execution. Responsibilities include building relationships with client stakeholders, collaborating with internal teams, analyzing customer feedback, and enhancing renewal processes.

As a Staff Data Scientist, you will drive user acquisition and monetization strategies by analyzing data related to user engagement, revenue metrics, and marketing budgets. You will collaborate with product teams to optimize user conversion and retention, and mentor other team members in data-related tasks.

The role involves delivering analysis, solution design, development, and project implementation in a collaborative environment. The candidate will lead technical discussions, ensure alignment with business goals, and improve client experiences while keeping abreast of emerging technologies. Responsibilities include coaching peers, leading technical work, and building credibility within business and IT.