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The Data Analyst II will partner with business stakeholders on customer and marketing analytics to evaluate performance and analyze customer behavior. They will also support testing and measurement, identifying opportunities to attract and retain customers.
The role involves investigating trends in KPIs to uncover performance drivers and creating insightful dashboards for e-commerce and merchandising teams. You will use statistical models for forecasting and collaborate with data engineering to align on methodologies.
The role involves monitoring and reporting on billing performance indicators and building data pipelines to ensure reliable financial data delivery. The analyst will apply statistical methods to project financial risks and collaborate cross-functionally to improve billing efficiency.
Own the data strategy for subscription billing operations by building pipelines and analyses to improve performance. Lead and mentor a team of analysts while partnering cross-functionally to reduce churn and operational inefficiencies.
Maintain relational databases of environmental chemistry data and build ETL pipelines using SQL, Python, or R. Develop dashboards and visualizations to support multi-disciplinary teams of engineers and scientists in technical reports.
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The intern will analyze platform and experiment data using BigQuery to drive product decisions and improve user experience. Additionally, they will contribute to product design in Figma and perform QA on new features.
The intern will collect and organize data to uncover trends and insights. They will also develop visual reports and dashboards to support data-driven decision-making in educational strategies.
Create innovative, thought-provoking insights and market predictions to guide world-leading organizations in data management and AI readiness. Act as a trusted advisor to clients and provide sales support to drive engagement and business growth.
Lead business, data, and systems analysis activities within Agile technical delivery teams to identify requirements and acceptance criteria. Collaborate with Solution Architects and stakeholders to create data specifications, manage the project backlog in Jira, and document technical user stories.
Develop operational and executive dashboards to monitor performance and support data-driven decision-making for Government leadership. Perform quantitative analysis, trend forecasting, and collaborate with stakeholders to define reporting requirements.
Support the Data Analytics team by performing data validation, generating reports, and monitoring business performance metrics. Communicate actionable insights to stakeholders and maintain data pipelines and documentation.
The role involves collecting, cleaning, and validating data from various sources to generate reports and dashboards. Additionally, the candidate will support automation workflows and AI-powered data processes using APIs from platforms like Google, Meta, and TikTok.
Extract actionable insights from eCommerce data to optimize site performance, promotions, and customer behavior. Collaborate with product and marketing teams to create dashboards and present data-driven strategies.
The role involves writing and maintaining SQL queries to develop operational dashboards and ensure data accuracy across pipelines. The analyst will own recurring reporting cycles and provide data-driven insights to support strategic decision-making.
The Lead Data Analyst will collaborate with clients to map data and support the development of ETL processes and data pipelines. They are responsible for optimizing data ingestion, ensuring data quality, and presenting analytical findings to stakeholders.
Develop and maintain databases, dashboards, and automated reporting solutions to support executive decision-making for the Veterans Health Administration. Analyze healthcare and financial data to identify trends and improve organizational performance across national programs.
Lead complex diagnostic and exploratory analyses to identify root causes of store performance and drive strategic decision-making. Develop scalable Power BI dashboards and analytical frameworks to improve sales, productivity, and operational effectiveness.
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The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across various BI platforms.
The role involves owning end-to-end client delivery by designing dashboards and managing data transformations in dbt. The analyst will translate client requirements into actionable reporting and ensure data quality across multi-source architectures.
Lead client engagements by translating complex business questions into structured analytical problems and data products. Develop production-quality SQL models and dashboards while leveraging AI tools to accelerate delivery and improve quality.
Support AI, analytics, and data modernization initiatives for the VA Office of Research and Development. Develop dashboards, optimize ETL workflows, and implement AI-enabled analytics to support operational decision-making.
Support AI, analytics, and data modernization initiatives for the VA Office of Research and Development. Develop dashboards, optimize ETL workflows, and implement AI-enabled analytics to support operational decision-making.
Deliver high-impact data models and analyses to help R&D Engineering optimize shipping speed, reliability, and product decisions. Own the maintenance of internal R&D reporting apps and establish best practices for scaling analytics models.
Build and maintain core performance dashboards and reporting frameworks for the Engine X corporate charge card. Analyze card transaction data and booking behavior to provide actionable insights for product and finance leadership.
Lead the development and optimization of data pipelines and backend data systems. Mentor junior engineers while managing data orchestration and infrastructure operations.
Own the end-to-end process of evaluating, scoping, and onboarding new healthcare data sources into the platform. Act as the bridge between raw data acquisition and product delivery by defining schemas, mapping fields, and coordinating with engineering and product teams.
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Lead the design and implementation of data governance frameworks focusing on data quality, metadata, and lineage across customer data domains. Partner with cross-functional teams to embed privacy and consent requirements into operational processes and platform standards.
Launch and maintain an end-to-end BI system to transform raw data into business decision tools. Focus on revenue forecasting, monetization analysis, and generating growth hypotheses to optimize user acquisition and product behavior.
The role involves translating business requirements into technical data specifications and manipulating large datasets to support data service initiatives. You will collaborate with data architects and business partners to ensure data design aligns with standards and improves data quality.
Analyze large datasets to identify trends and actionable insights that drive core business decisions. Develop and maintain dashboards and reporting frameworks to monitor KPIs and support stakeholders.
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