Senior Analyst responsible for driving analytical solutions to support key business objectives for Operations & Analytics within Citi’s Business Analytics Team.
Responsibilities
Support Business Execution activities for Chief Operating Officer
Implement analytical solutions to manage banking operations
Create data visualization solutions and Tableau dashboards
Interface between business and technology partners for digitizing data collection
Communicate findings and recommendations to senior management
Internship in procurement analytics dashboards within ASML's Indirect Procurement organization, focusing on data-driven decision-making and reporting solutions.
Responsibilities
Develop and improve dashboards that provide procurement and supplier performance insights.
Combine data from multiple sources into reliable and user-friendly reporting solutions.
Improve data models to increase reporting quality and consistency.
Analyze data to identify trends, risks, and opportunities for improvement.
Translate stakeholder requirements into meaningful visualizations and reports.
Requirements
Bachelor's or Master's degree in Data Science, Business Analytics, Industrial Engineering, Information Technology, Business Administration, or a related field
Prepare and support performance reporting and analyses for Energy Performance Meetings, including templates, presentations and supporting documentation.
Responsibilities
Prepare and support performance reporting and analyses for Energy Performance Meetings, including templates, presentations and supporting documentation
Collaborate closely with Energy country finance teams, acting as a central point of coordination during performance reporting cycles
Support the preparation and consolidation of performance insights, including identification of deviations, trends and key topics for management attention
Perform data validation, quality checks and consistency analyses across different reporting sources and systems
Support performance tracking and KPI monitoring, contributing to transparency on business performance and identification of improvement areas
Requirements
Bachelor’s degree in Finance/Business Administration
Responsible for supporting PNNL's performance management and assurance activities through the collection, integration, analysis, and reporting of organizational performance information.
Compensation
Minimum Salary USD $80,500.00/Yr. Maximum Salary USD $117,300.00/Yr.
Responsibilities
Develop, maintain, and enhance performance reporting products, including dashboards, scorecards, automated reports, and management briefing materials.
Collect, integrate, validate, and analyze data from multiple sources to identify trends, support performance evaluations, and contribute to continuous improvement efforts.
Assist in the development, maintenance, and reporting of performance measures and indicators that support organizational objectives, risk-informed decision-making, and performance monitoring.
Create visualizations and analytical products using tools such as Power BI to communicate performance information clearly and effectively to management and stakeholders.
Apply statistical, predictive, and emerging analytical techniques, including artificial intelligence-enabled tools where appropriate, to improve insight generation and understanding of performance drivers and operational trends.
Requirements
BS/BA
MS/MA or higher
Nice to have: Data science
Nice to have: Python
Nice to have: SQL
Skills
E
Leadership Development Manager - Learning Innovation & Impact
Support the FASTR program within the War Data Platform as a member of the Business Intelligence, Reporting & Decision Support team, developing and maintaining dashboards, reports, and analytical products for Department of the Air Force financial management.
Compensation
The expected salary range for this position is between $69,000 and $105,000 . This range is representative of base pay only and does not include straight time pay for hours worked over 40 per week, company contributions towards paid benefits, and/or bonuses. Actual compensation (meeting or exceeding the range) will be determined based on specific experience, education, work location, clearance level, and other factors permitted by law. This position is eligible for bonuses (when applicable).
Responsibilities
Support the development and maintenance of interactive dashboards, recurring reports, scorecards, and ad hoc analyses
Implement documented reporting requirements, KPIs, business rules, and acceptance criteria in BI visualizations and reporting products
Create and maintain data transformations, measures, calculated fields, and basic semantic models
Query, join, aggregate, and analyze financial datasets
Work with Financial Management SMEs to verify financial definitions, calculations, filters, aggregations, and drill-down results
Requirements
Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, Accounting, Business Administration, or a related field
Nice to have: War Data Platform
Nice to have: financial management data structures
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
Responsibilities
Data Architecture & Modeling: Assess data models, schemas, structures, and relationships for consistency, interoperability, and alignment with enterprise requirements.
Metadata & Data Catalogs: Evaluate metadata management approaches, data catalogs, dictionaries, and common data definitions to improve enterprise data discovery and accessibility.
Ontologies & Semantic Data: Assess ontologies, taxonomies, semantic relationships, and data standards to support consistent interpretation and integration of mission data.
Data Integration & Interoperability: Analyze data flows, interfaces, mappings, and transformation approaches to identify dependencies, integration gaps, and technical risks.
Data Quality & Governance: Evaluate data quality, provenance, lineage, classification, and governance approaches to support reliable and traceable enterprise data.
The Analyst, Data Science is a member of the Revenue Strategy team and contributes to the team's more than $100M annual revenue target by supporting the development, operation, and maintenance of machine learning models and automation processes for pricing, inventory, and target setting.
Compensation
Royal Caribbean Group is pleased to offer a competitive compensation and benefits package
Responsibilities
Assemble, clean, and prepare large, complex data sets to support model development and analysis
Help identify and implement internal process improvements, automating manual processes and optimizing data delivery
Build and maintain data pipelines for ETL from various data sources using SQL, Python, and cloud big data technologies
Build analytics and visualization tools using Power BI to turn model outputs into actionable insights
Work with stakeholders including Revenue Management, Marketing, Data Science and Data Engineering teams
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $112,000.00/Yr. – $154,000.00/Yr.
Annual Bonus for eligible positions: 20%
Responsibilities
Design fully digital and blended leadership programming
Co‑design digital experience layer across programs
Implement Exelon's AI coach
Facilitate leadership programming for emerging, mid‑level, and senior leaders
Build and own measurement engine and dashboards
Requirements
Bachelor’s degree in a related field (e.g., Business, Human Resources, psychology, Organizational Development, Learning Sciences, or a data/analytics field)
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