Top Remote Analytics Jobs in Washington DC,
The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
The Analyst will keep updated with the latest trends in the crypto industry, conduct research across sectors, and assess investment opportunities while demonstrating a strong passion for crypto and integrity.
As an Analytics Engineer, you will work with cross-functional teams to build and maintain the data warehouse, improve data usability, quality, and reliability, and develop data quality rules and documentation.
The Workday HR Analyst will analyze HR data, create reports and dashboards, support HR operations, and assist in navigating Workday functionalities. Responsibilities include developing custom reports, providing insights for decision-making, and training HR staff on reporting tools.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
The Data Analyst will perform psychometric analysis and technical reporting within large datasets from assessments. Responsibilities include coding maintenance, data quality assurance, statistical analysis, documentation, and collaboration with a psychometrician on project insights.
Top remote Companies in Washington DC, Hiring Data + Analytics Roles
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