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Investigate broken pipeline workflows, manage ETL batch cycle process, curate workflow solutions, expand data governance, facilitate project transitions, enforce file delivery, DBA responsibilities, point person for nightly entity batch, coordinate with departments for workflow creation and troubleshooting.
The Senior ERP Data Conversion Analyst is responsible for the design and execution of data conversions during the migration from legacy systems to Oracle Cloud ERP. This includes testing, validating, and ensuring data integrity, as well as collaborating with technical teams to satisfy business needs. The role also involves supporting system migrations and addressing data issues in acquired businesses.
The Configuration and Data Management Analyst III will manage configuration and data management services for engine product teams, perform change analysis, facilitate change meetings, enforce management rules, and drive system improvements while ensuring accurate delivery and maintaining configuration standards.
As a Senior Procurement Data & Reporting Analyst, you will develop reports and data products to support procurement operations, lead automation initiatives, and participate in tool selection and implementation, collaborating with various stakeholders to meet reporting and analytics needs.
The Senior Data Analyst will support strategic projects in the Procurement organization, applying data science techniques and statistical analysis to provide actionable insights. Responsibilities include forecasting spend, clustering suppliers, and creating algorithms for data classification. The role involves collaboration with other data analysts and presenting results to senior leadership.
The Senior Data & Insights Analyst will leverage data and technology to measure performance and deliver insights as part of the Innovation Studio team. Responsibilities include managing KPIs, creating executive dashboards, ensuring data accuracy, transforming data sets into visual formats, and collaborating with teams to support sales and marketing initiatives.
As a Data Reporting Analyst, you will prepare financial and business-related reports, analyze data for accuracy, and assist in the maintenance of databases. You'll work with data sources to understand their structure and quality while making recommendations to improve data reporting.
As a Data Insights Analyst, you will analyze data to provide valuable insights for business decisions, work with cross-functional teams, and develop metrics and dashboards to monitor engagement trends. Your role involves crafting analyses that influence product and marketing strategies and involves using SQL and data visualization tools to optimize customer experiences.
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The Sr. Data Analyst will leverage business and technical knowledge to manage deliverables for data warehouse consolidation and business intelligence projects. Responsibilities include data analysis, ETL processes, data validation, problem solving, collaboration with teams, and documenting data processes.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Senior Data Analyst will build reporting infrastructure, analyze data, create reports for stakeholders, and provide insights to improve business operations. The role involves collaboration with business teams, data modeling, and strategic analysis to support initiatives and monitor business health.
The Senior Data Analyst will conduct comprehensive business systems analysis, develop and implement machine learning models and data visualizations, monitor KPIs, and guide analytics initiatives. This role requires significant collaboration with stakeholders and involves managing data quality, troubleshooting issues, and mentoring peers.
As a Data Quality Assurance Analyst, you will analyze, test, and validate data solutions within a data warehouse environment. Your role involves designing test cases, maintaining documentation, understanding business data sources, and collaborating with IT partners to ensure quality data delivery against business requirements.
The Sr Data Analyst will collaborate with business teams to ensure the accuracy and availability of Salesforce data. Responsibilities include identifying and resolving data inconsistencies, managing data correction processes, and supporting data migration and system integrations. Effective communication with both technical and non-technical stakeholders is key to this role.
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The Senior Analyst will lead data storytelling and performance analysis, measuring client campaign success, presenting insights to stakeholders, and managing client relationships. The role requires strong quantitative skills, knowledge of analytics tools, and the ability to drive insights for clients, while working in a hybrid data strategy and client-facing environment.
The role involves developing and implementing data and analytics strategies to drive business growth, aligning client data strategies to business objectives, and overseeing the migration to cloud environments using various platforms. The Senior Associate works collaboratively to solve complex issues and enhances decision-making through data analysis.
The PowerBI Analyst is responsible for developing reports and dashboards for Nordic's operations, leading discussions on analytics needs, and troubleshooting reporting issues. They will work on improving workflows, document processes, and guide junior team members in data visualizations and reporting tasks.
The Data Engineer/Analyst will support data aggregation, search, and compilation tasks for a program, collaborating with software engineers, data analytics teams, and data scientists to achieve project goals.
The Senior Analyst in Data Engineering will support data processing, transformation, and integration efforts, ensuring data consistency and quality across various projects. Responsibilities include managing databases, enhancing data pipelines, collaborating with data scientists, and automating data engineering processes. This role also involves documentation and training for team knowledge sharing.
Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.
The Voice and Data Communications Analyst will engineer and support telecommunications systems at the National Military Command Center, including configuring cryptographic equipment and providing engineering solutions for security issues. The role involves collaboration with team members and managing technical projects independently, ensuring the operations meet critical mission demands.
The Senior Data Analyst will analyze the new user experience at Rocket Money, collaborating with product teams to drive engagement, provide insights, and optimize product offerings. Responsibilities include building analytics processes, delivering reports, debugging data-related issues, guiding experimentation, and partnering with teams for data accuracy.
Senior Data Management Analyst at Federal Reserve Bank of Atlanta. Responsibilities include developing data management procedures, providing analytical support, coordinating projects, and participating in data governance initiatives. Requires Bachelor's degree and 5-8 years of experience. Technical skills in Office 365, Teams, and SharePoint Online. CDMP certification preferred.
As a Senior Data Engineer at CoinFlip, you will develop scalable data pipelines, optimize data models, perform analysis and create visualizations to enable data-driven decisions. Collaborating with cross-functional teams, you will ensure data accuracy and mentor junior members in a dynamic startup environment.
As a Senior Data Analyst, you will lead the design, analysis, and optimization of data systems to provide diagnostic and predictive insights. Responsibilities include developing data systems, analyzing complex datasets, implementing machine learning algorithms, and collaborating with stakeholders to ensure data-driven solutions.
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