Top Remote Data & Analytics Jobs in Albuquerque, NM
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
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The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.
The Reporting Analyst will design and develop moderately complex reporting solutions, undertake analysis, development, and testing, troubleshoot incidents, prepare documentation, and deliver high quality Reporting & BI solutions with minimal maintenance.
The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.
As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.
As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The Senior Product Data Analyst role involves analyzing product usage and customer outcome data to influence product features and operational efficiency. Responsibilities include building data models, developing reports and dashboards, optimizing data utilization for strategic decisions, and collaborating with multiple departments to support business needs.
Top remote Companies in Albuquerque, NM Hiring Data + Analytics Roles
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