Top Analysis Reporting Jobs in Washington DC,

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 Content Analyst will read and apply codes to large quantities of user-generated content in English and German. This is a part-time hourly position done remotely in the United States, starting on April 15, 2024. The role requires native-level proficiency in German and professional-level competency in English.

As a Senior Compliance Analyst, you will monitor and support information security control procedures, ensuring compliance with SOC2, ISO 27001, and PCI frameworks. You'll collect and analyze evidence for control effectiveness while collaborating with teams to ensure security measures are met and communicated clearly to management.

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 the first Data Analyst for Starknet Foundation, you will lead reporting and analytics efforts across diverse areas, manipulate data using SQL and Python, and provide insights to enhance decision-making for ecosystem growth, marketing, and business operations.