Top Data & Analytics Jobs
This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.
The BI Developer will facilitate communication between the Data Reporting Team and customers to align software objectives with business needs. Responsibilities include understanding business requirements, creating specifications for reports and dashboards, managing project delivery, and providing support during implementation.
The Senior Manager, Data & Analytics will lead the data initiatives at Rent by transforming complex data into actionable insights. Responsibilities include managing a team, defining data strategies, ensuring data governance, driving innovative analytics projects, and collaborating with cross-functional teams to meet data needs.
Lead data analytics initiatives for Republic Services, a leader in the environmental services industry. Analyze and interpret data to drive strategic decisions, optimize business processes, and enhance sustainability efforts. Collaborate with cross-functional teams to deliver insights and solutions. Contribute to the company's growth strategy through data-driven recommendations.
The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
As a Target Digital Network Analyst (TDNA), you will analyze collection and open-source data to generate insights for national security missions, profiling targets and developing techniques to gather additional information while maintaining analysis databases and identifying intelligence gaps.
As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.
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As a Managing Consultant in Data & Analytics, you will lead clients on their analytics journey, analyzing data trends, crafting roadmaps, and implementing initiatives. You'll create predictive models and visual analytics, conduct client interviews for gap analysis, and design process flows.
Collaborate with business users to support process automations, build end-user dashboards, create reporting, and provide support for strategic expansion roadmaps in the Credit/AR organization. Utilize Process Query Language (PQL) for analytical formulas and data querying within Celonis. Document and track automation development, support vendor relationships, and optimize processes for efficiency and value creation.
As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.
As a Staff Software Engineer, you will develop scalable data storage and processing systems, mentor engineers, shape product strategy, and ensure high-quality engineering processes. Key responsibilities include architecting large-scale systems and optimizing data pipelines for efficiency and performance.
The Coordinator, Sourcing & Analytics will assist in the procurement of supplies and services while providing data analysis and insights to improve operations and support strategic decisions. Responsibilities include utilizing data analytics, maintaining supplier relationships, and managing inventory levels while ensuring compliance with standards.
As the Data & Analytics Lead, you will develop and implement data strategies, manage data governance, oversee data quality, and ensure the integrity and proper management of data systems. You will work collaboratively with internal teams and external providers to facilitate seamless data integration and drive business insights.
As a Lead People Solutions Analyst, you will create and deliver reporting and analytical solutions for HR, focusing on data visualization and insights. You'll engage with HR to provide guidance on metrics and help design automated reporting, requiring a strong understanding of data architecture.
The Data & Analytics Engineer will develop scalable data pipelines, create data visualizations, and implement reporting infrastructure to support business decision-making, utilizing tools such as Snowflake, Tableau, and Python while thriving in a fast-paced environment.
Drive the Financial Crimes Program by utilizing data analytics and visualization tools to enhance fraud detection, economic sanctions, and money laundering efforts. Lead the design and implementation of data solutions, collaborate with stakeholders, and ensure data accuracy and compliance in reporting mechanisms.
The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.
The Head of Compliance Data Analytics will lead the data analytics strategy for global compliance, oversee the development of compliance controls, analyze user and transaction data to identify risks, and manage cross-functional projects to enhance transaction monitoring using advanced technologies.
Lead and mentor a high-performing analytics team, design and communicate complex data insights to stakeholders, collaborate in defining the data collection strategy, champion the design and analysis of A/B tests, support ad hoc data analysis for stakeholders, develop and update dashboards for various business functions, create new analysis explores, work in data analysis within the data science team, build reusable services and components, conduct QA and code reviews, ensure data product quality standards
As a Sales Executive in Data & Analytics, you will manage a sales pipeline, foster client relationships, conduct meetings for customized strategies, negotiate contracts, present sales solutions, and report on sales metrics. Your focus will be on closing significant deals in sectors like Life Sciences and Financial Services.
Seeking a Software Engineer / Data Analytics to support a U.S. Government customer by leveraging Python and Data Science skills for critical mission-related tasks. Responsibilities include vulnerability analysis, developing tradecraft, generating insights from data analysis, and maintaining automated workflows.
The Consultant will manage and implement data visualization and user interface development, collaborating with various clients to analyze and optimize these elements, while mentoring team members. Responsibilities also include overseeing data analytics and KPI development to support process improvements.
The Senior Sales Analyst will lead analyses that drive strategic decision making for the commercial organization, focusing on financial forecasting, building models, and creating dashboards to present actionable insights. Responsibilities include supporting the development of metrics, mentoring other analysts, and designing new processes for team efficiency.
The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.
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