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Top Analytics Jobs in Dallas, TX
The Principal SAP Reporting Configuration Engineer role involves analyzing, developing, and configuring use cases with SAP Reporting tools. The individual will support production users, mentor junior team members, and help improve business processes while consulting on complex projects and solutions within the OneGL finance environment.
The Senior Manager in Data & Analytics at PwC will design and develop robust data solutions, lead data engineering projects, and leverage advanced technologies for data processing and analysis. Responsibilities include building data infrastructure, implementing data pipelines, coaching team members, developing client relationships, and directing technology workstreams.
As an Analytics Engineer at Peloton, you will build and maintain data models and infrastructure, ensuring data quality through monitoring and troubleshooting pipelines. You will work closely with stakeholders to develop Looker dashboards and documentation while promoting best practices within the team.
As a Senior Manager, you will lead Data and Analytics initiatives, aligning client data strategies with business objectives, recommending platforms, and guiding migrations to modern cloud data environments. You will also tackle complex business challenges and foster open communication among team members.
The Manager of Workforce Analytics at Chewy will lead the development and execution of customer care programs, optimize performance through data-driven workforce management, mentor a team, enhance operational efficiency, and ensure alignment between tactical programs and business goals.
As a Senior Associate in Cybersecurity, Privacy and Forensics, you will help clients solve complex challenges related to data protection. Your role includes leveraging analytics, driving strategic programs, ensuring cyber resiliency, and navigating legal processes through data analysis. You’ll collaborate with a team to deliver innovative solutions and foster relationships with stakeholders.
The Cloud Data & Analytics Manager will assist clients in aligning their data strategies with business strategies while facilitating the migration to modern cloud data environments. Responsibilities include coaching team members, analyzing proposals, developing solutions, and utilizing data insights for decision-making. The role requires managing stakeholder viewpoints and addressing issues around team effectiveness.
As a Manager in Cybersecurity, Privacy and Forensics, you will drive strategic programs and respond to critical business and data protection challenges. You will leverage advanced analytics to address risks impacting client strategy while managing team dynamics and building relationships. Your role involves coaching team members and analyzing complex proposals to develop actionable recommendations.
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The Senior Architect in Data Engineering and Analytics will guide clients in developing Big Data strategies, focusing on DataBricks. Responsibilities include designing data flows, managing data architectures, coaching consultants, and ensuring data integrity while collaborating with various stakeholders.
The Manager of Data Analytics will lead a team overseeing analytics and business intelligence initiatives. The role focuses on leveraging data for product enhancements, driving operational efficiencies, and fostering a data-driven culture. Collaboration with cross-functional teams is essential to develop insights that inform strategy and optimize business processes.
Senior Data Engineer (Data Engineer III) role at Chewy's Data Analytics team. Responsible for building and maintaining data pipelines, supporting the Speech Analytics platform, driving strategy for VOC data democratization, and developing advanced data products to meet business needs.
As a Senior Associate in Data and Analytics, you will help organizations leverage data for business insights, align client data strategies to their business needs, and manage their migration to cloud data environments using various cloud platforms while leading and mentoring teams.
As a Manager, you'll lead teams to solve complex business issues through data analytics and technology solutions, coach team members, and develop meaningful recommendations based on insights and stakeholder views, ensuring quality and ethical standards.
As an Analytics & Modeling Associate at Fannie Mae, you will develop analytical skills through hands-on training and teamwork. The role involves using cutting-edge technology to provide research, insights, and consultative services in various analytics functions like finance and risk management, contributing to informed business decisions.
The Digital Analytics Lead will manage Google Analytics 4 and Google Tag Manager to enhance tracking, reporting, and dashboarding across Varsity Brands' digital properties. Responsibilities include auditing implementations, developing reports, identifying data trends, collaborating on KPIs, and optimizing website performance through data insights.
The Senior Analytics Engineer will lead the implementation and management of an AI-enabled contract lifecycle management system, optimize database systems, develop data pipelines, and oversee machine learning model deployment. The role involves collaboration with various teams to ensure data integrity and provide insights through reporting and dashboard creation.
The Analytics Lead will create scalable architectures and collaborate with leaders to meet strategic requirements. Responsibilities include working with development teams on secure solutions, performing data analysis, and utilizing reporting tools to derive actionable insights from unstructured data.
The Analytics Developer III oversees database analytics and reporting services, translating customer requirements into technical specifications. They manage data collection and validation, develop solutions using advanced BI tools, and analyze data to drive clinical and operational improvements. The role includes mentoring junior staff and requires strong communication skills.
As a Data Analytics Consultant, you will work directly with clients to define business problems and analysis requirements. You will use analytical skills to manage data, create reports, and communicate results effectively while ensuring business value is achieved.
The Senior Principal Architect will lead data migration efforts in SAP S4 ERP, focusing on defining master and transaction data objects, and ensuring compliance with data governance practices. They will work closely with functional and technical teams to deliver on data requirements and advocate for data management best practices within a cross-cultural team.
The Fair Lending Analytics and Modeling Senior Associate will conduct fair lending analyses using statistical methods, support fair lending compliance reviews, manage data systems, and design modeling applications. Responsibilities include evaluating AI/ML models, ensuring data quality, and presenting findings to diverse audiences.
The Consultant - FP&A will provide financial planning and analysis support, collaborate with finance teams on metrics and goals, develop financial reports, identify business challenges, and drive corporate projects while building relationships across the organization.
The Azure PaaS Product Manager will develop and launch new products and services tailored to customer needs, collaborating with cross-functional teams for timely and quality delivery. Responsibilities include executing product launch plans, managing product budgets, and maintaining relationships with key stakeholders, focusing mainly on the Azure PaaS marketplace and product requirements.
The Manager/Sr Manager of Analytics will oversee the coordination with functional teams and stakeholders, managing Agile activities using Jira and Confluence, building data pipelines, and developing training for automation solutions. The role requires strong communication skills and experience in FP&A and managing complex software deployments.
The Master Data Management Leader will define, design, and build dimensional databases while ensuring adherence to data standards. The role involves stakeholder management and includes responsibilities such as metadata management, data migration, and data security.
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