Top Analytics Jobs in Richmond, VA
The Data Architect Manager at PwC will design and develop robust data solutions, transform raw data into actionable insights, and lead projects in data engineering. Responsibilities include developing data pipelines, mentoring team members, collaborating on data strategies, and ensuring compliance with data governance policies.
As a Data Architect Manager at PwC, you will lead the design and implementation of data solutions, ensuring effective data processing and analysis. Responsibilities include managing projects, mentoring team members, developing data architecture strategies, and collaborating with stakeholders to meet business needs while adhering to data governance and security standards.
As a Data Engineering Manager at PwC, you will lead the design and implementation of data solutions, manage team performance, and enhance data architecture strategies. Your role involves developing data pipelines, integration, and transformation solutions while mentoring team members. You will ensure projects meet quality standards and collaborate with stakeholders to address data requirements, all while upholding PwC values and professional standards.
The Senior Business Analyst will leverage analytical and strategic skills to address company challenges, support marketing and product strategies, perform analysis for credit risk, and collaborate with various teams to improve business outcomes at Capital One.
As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.
The Manager Data Analyst for Enterprise Services will leverage analytical skills to drive strategy, build models, and improve processes. Responsibilities include mining data, enhancing operational efficiencies, and mentoring junior analysts. This role involves extensive collaboration across business units in a fast-paced environment with a focus on analytics and data-driven decision-making.
The Human Resources Systems Analyst will enhance HR systems and processes, implement new technologies, and optimize data and analytics. Responsibilities include developing automations, building data pipelines, maintaining HR data integrity, and assisting employees with HR system issues.
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As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Principal GRC Analyst at Red Canary, you will lead governance, risk, and compliance initiatives, ensuring that policies and controls are effective and compliant. You will conduct audits, manage vendor risk assessments, and support the sales team regarding security compliance terms. Your role involves overseeing security awareness training and business continuity exercises.
The Vice President of Business Development will drive growth in the Data & AI practice by developing go-to-market strategies, qualifying and closing multi-year engagements, and leveraging relationships with platform partners and sales professionals. This role focuses on data modernization, analytics, digital transformation, and implementing data-driven solutions.
As a Senior Manager of Analytics at Spring Health, you will lead the embedded analyst program, collaborating with the Medical Affairs team to improve data infrastructure, tools, and dashboards. You will manage three analysts, refine operational processes, and ensure the team meets its key performance indicators (KPIs).
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
As a Business Intelligence Specialist for the Risk Enablement team, you will analyze data to identify and mitigate risks through actionable insights. Responsibilities include preparing detailed reports, simplifying operational dashboards, collaborating across departments, and conducting ad hoc analyses to support risk management efforts.
Top Companies in Richmond, VA Hiring Data + Analytics Roles
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