Top Data Analyst Jobs
As a Data Analyst in the FinTech team, you will analyze internal data, identify opportunities for improvement, enhance business processes, communicate insights effectively, and manage project plans to meet deadlines.
The Cyber Data Analyst will assess infrastructure vulnerabilities and collaborate with stakeholders to produce advanced cyber analytics, visualizations, and risk-based reports. Responsibilities include analyzing compliance and vulnerability data, identifying critical assets, mapping traffic patterns, integrating cybersecurity tools, and generating insights through Power BI dashboards.
The Data Analyst will perform data entry, retrieve and analyze data, conduct quality control, and ensure accuracy in the debt collection database. The role requires independent work and communication with management and government officials.
The Procurement Programs & Systems Data Analyst supports the Procurement Organization by managing data systems and processes to improve efficiency. Responsibilities include data analysis, reporting, system support, change management, and enhancing procurement processes while ensuring alignment with business objectives.
The Senior Enterprise Data Analyst will enhance analytical capabilities across business functions by conducting data analysis, developing KPIs, creating dashboards, and collaborating with teams to provide actionable insights. The role also involves presenting findings to stakeholders and ensuring data integrity across channels.
The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.
As a Data Analyst, you will maintain OLAP tools, gather analytical requirements, develop data frameworks, manage data governance, and ensure data security compliance. You will analyze complex datasets, perform statistical analyses, and create dashboards and reports to support decision-making for the Navy's My Navy HR enterprise.
As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.
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The Data Analyst II will manage analytical data needs, handle complex data requests, and perform predictive modeling. Responsibilities include data collection, validation, and reporting, as well as trend analysis in health care management.
The Data Analyst at Vetsource is responsible for using a data warehouse to build models and dashboards that provide insights. They will normalize messy datasets, understand clients' business needs, optimize SQL queries, and visualize findings with Looker/PowerBI, while also suggesting process improvements and designing KPIs.
As a Data Analyst at ReliaQuest, you will work on building systems and deriving insights that drive cybersecurity practices forward. Responsibilities include developing data analyses, contributing to innovative projects, providing data-related reports and insights, designing intuitive publications, creating tools for effective data management, and identifying growth opportunities.
The Data Analyst will support USTR's trade enforcement functions by analyzing data related to imports, exports, investments, and trade. Responsibilities include data identification, conducting research, drafting reports, and assisting in litigation while utilizing advanced data analytics tools.
The Business Analyst will assist the USTR by analyzing trade-related data, focusing on imports, exports, and corporate information. Responsibilities include identifying and analyzing data, using Excel and programming tools like Stata or Python, conducting research, drafting reports, and preparing evidence for litigation support.
The Data Analyst will provide trade and data analysis for USTR, focusing on imports, exports, and other trade-related data. Responsibilities include data identification, advanced Excel usage, programming in Stata or Python, and utilizing visualization tools like Tableau. The role involves research, drafting reports, assisting in litigation, and preparing evidence.
The Senior Product Data Analyst will analyze complex datasets using SQL and Python to provide insights for product development. Responsibilities include designing data visualizations, performing A/B tests, collaborating with stakeholders, and enhancing data collection methods. The role requires strong technical skills and the ability to communicate findings to both technical and non-technical audiences.
The Marketing Data Analyst will be responsible for updating backend data architecture and delivering reporting and BI using Power BI. Key tasks include metadata analysis, threat detection in Salesforce, and facilitating operational reporting through collaboration with SMEs. This role also involves data manipulation and troubleshooting data source issues.
The Federal Data Analyst role involves analyzing Human Capital data, developing reporting tools, collaborating with teams, and ensuring data integrity. Responsibilities include data mining, trend analysis, and the implementation of reporting systems to support decision-making and improve efficiency in human resources processes.
The Data Analyst role focuses on performing in-depth analyses to optimize the marketing funnel, designing core metrics, managing dashboards, and working with cross-functional teams. Responsibilities include data visualization, statistical modeling, and contributing to a data-driven culture at The League.
The Budget Data Analyst will support Federal clients in analyzing and consolidating financial data, performing monthly financial reviews, assisting with budgetary requirements, and coordinating with various agencies. Responsibilities include preparing funds transfer actions, conducting quality checks, generating reports, and supporting audits in line with PPBE reform.
The Staff Data Analyst will lead high-impact analytics projects, transforming complex data into actionable strategies. This role involves quantitative analysis, strategic interpretation of data, and mentoring junior analysts to drive informed business decisions.
The Senior Data Analyst will develop dashboards and reports for IT Procurement, collaborating with senior management and stakeholders to analyze and interpret data. Responsibilities include maintaining data structures, establishing interactive reports, integrating data sources, and translating analytics into reports for both internal and external stakeholders.
The Data Analyst/GIS SME will work with FEMA teams to analyze and present data for contract oversight. Responsibilities include maintaining spreadsheets, assisting with supply chain strategies, using Power BI for data visualization, and performing data management tasks. The role requires communication with stakeholders and training government personnel.
The Principal People Operations Data Analyst will analyze data related to People Operations and generate insights to guide business decisions, develop predictive models, and communicate findings to executives. The role requires independently managing complex data projects and reviewing compensation processes.
The Marketing Data Analyst is responsible for delivering catalog data and ensuring data quality for the automotive aftermarket. Key responsibilities include processing catalog data, measuring fill rates, coordinating with sales and data receivers, and maintaining knowledge of industry standards for continuous improvement.
The HRIS Data Analyst will analyze workforce data to identify trends, build data visualization dashboards, administer databases, and assist with survey design and execution. Strong communication skills are necessary for conveying technical findings effectively.
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