Top Hybrid Senior Level Data & Analytics Jobs
As a Credit Analyst, you will underwrite and process auto loan applications, focusing on credit worthiness and risk mitigation. You will negotiate with auto dealerships, resolve loan issues, and ensure compliance with lending policies while keeping up with industry trends.
The Director, Credit Risk & Analytics will assess risk for applicants, implement underwriting policy changes, ensure compliance with regulations, document and automate processes, collaborate with cross-departmental teams, and monitor loan portfolio performance to manage risk effectively.
The Lead Data Engineer will design, develop, and implement technical solutions for the Auto Lending Platform at Capital One. Responsibilities include building real-time data pipelines, collaborating with Agile teams, and mentoring other engineers. This role requires strong experience in big data technologies and cloud computing, with a focus on delivering innovative financial solutions.
The Senior Risk Manager, Data Protection will play a key role in assessing and challenging cybersecurity capabilities and operational effectiveness to manage and control risk associated with cyber operations. Responsibilities include providing oversight, analysis, effective challenge, and risk-informed recommendations for enhancement, technical assessments of cybersecurity, drafting assessments for senior management, staying current on emerging cyber threats, and collaborating with colleagues and stakeholders.
As a Data Science Manager at Capital One, you will lead the team in building advanced machine learning solutions for Upmarket Customer Management valuation. You will connect data science solutions with business outcomes and collaborate with senior stakeholders.
The Senior Scientist II will lead R&D activities for new snack foods development, managing technical projects aligned with marketing and manufacturing requirements. Responsibilities include product testing, stakeholder management, and utilizing digital models for consumer insights. The role champions consumer-focused product innovation and requires collaboration across teams.
The Sr. Data Manager oversees data management for North America Supply Chain, leading a team focused on data architecture, analytics, and digital transformation projects. Responsibilities include enabling the enterprise data hub, optimizing data processes, and managing development initiatives while supporting stakeholders’ data needs.
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Altice USA is seeking a Director of B2B Analytics to lead a team of analysts in identifying trends and insights to improve customer interactions and reduce churn. The role involves collaborating with stakeholders, establishing KPIs, and supporting strategic business initiatives within the B2B customer care and retention organization.
As a Senior People Systems Analyst at Block, you will enhance the Workday platform by delivering enterprise analysis, process documentation, and effective system solutions. Your role includes gap analysis, testing, and post-implementation support, collaborating with cross-functional teams to refine People business systems and support auditing, integrations, and incident resolution.
As a Senior Data Scientist, you will analyze large datasets using SQL and scripting languages, build and report on metrics that drive strategy, design A/B experiments, and communicate insights with stakeholders. You will also work closely with advertising sales to enhance customer experiences across the ecosystem.
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The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
The Sr. Machine Learning Engineer at Disney Entertainment & ESPN Technology will develop, implement, and maintain Hulu's recommendation algorithms. The role involves collaborating with various teams to optimize machine learning methods for personalization and recommendation, and enhancing scalability for big-data applications.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
As a Manager in the Machine Learning team, you will lead planning and coordination within sprints, build and maintain a machine learning platform, manage data pipelines, troubleshoot technical issues, and mentor team members.
The Data Strategy Manager will help deliver data strategy solutions for Life Science clients, focusing on operating models, data governance, data sourcing, and compliance. Responsibilities include project management, client relationship building, and staying current with data trends.
As a Digital Customer Experience Consultant, you will manage multiple projects and client relationships in digital marketing, develop strategies for media buying across channels, oversee campaign implementation, and lead a media team to achieve client success. Your expertise will ensure effective analytics and optimization for long-term business goals, especially within life sciences.
The Decision Analytics Manager will leverage data analytics and problem-solving techniques to drive business development and project delivery. This role requires collaboration with internal leaders and account teams, focusing on developing methodologies and products for improving supply chain effectiveness in various industries.
The SIGINT Analyst will perform research, analysis, and reporting on technical intelligence, transform technical collection into narratives, design scripts, guide collectors to critical information, and support military and civilian professionals in applying advanced analytic techniques.
The Policy Analyst at BAE Systems will enhance judgment and decision-making in classified environments, assist in policy planning, and evaluate analytic workflows. This role involves collaborating with management to improve productivity and decision processes through analytics and training.
As a Principal Proposal Analyst at BAE Systems, you will lead proposal activities, assist in negotiations, guide cross-functional teams, develop strategic outlines, and ensure compliance with deliverable deadlines, while liaising with various departments to support proposal efforts.
The Compensation Analyst will participate in compensation surveys, analyze market data, maintain compensation databases, develop compensation models, and collaborate with recruiters and People Operations to guide compensation decisions and administer compensation policies. Strong analytical and communication skills are essential, along with extensive experience in compensation practices.
The Compensation Analyst will analyze market data, audit compensation databases, support data analysis, develop compensation models, collaborate on compensation offers, administer compensation systems, and assist in communicating compensation policies and programs.
The Compensation Analyst will develop rewards programs, analyze market data, audit compensation databases, create compensation models, and support compensation policies. They will partner with recruiters to ensure competitive pay decisions and collaborate with the People Operations team to manage compensation systems.
Top hybrid Companies Hiring Data + Analytics Roles
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