Top Remote Analysis Reporting Jobs

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.

As an Analytics Engineer, you will build and manage reporting data models and infrastructure using Snowflake, create reports using Looker, and support data integration with a focus on minimizing development cycles. You will also train team members on data models and maintain relevant documentation.

The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.

The Support Analyst provides front-line Level 1 support to internal and external users, managing help requests, documenting issues, and ensuring timely responses per established SLAs. They work with the Support Desk Team to enhance customer experience and operational efficiency.

As a Sr Systems Analyst at BECU, you will translate user requirements into system designs, manage complex software platforms, develop business cases, and collaborate with stakeholders to ensure project execution aligns with strategic goals. Your role will involve mentoring junior analysts and supporting technological advancements.

The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.

The role involves supporting the Navy's transition to the Electronic Procurement System (ePS) by managing data analytics, deployment readiness, training, and reporting. The Analyst must aggregate data from various acquisition systems, develop insightful visualizations, and work collaboratively to enhance decision-making for better ePS implementation.