Top Remote Data & Analytics Jobs in Albuquerque, NM

Use syndicated data (SPINS, Nielsen) and internal data to generate category and retailer insights, support forecasting, lead recurring and ad-hoc analyses, and deliver clear recommendations and dashboards to inform sales, category management, and cross-functional strategy.

Build and maintain Sekai's analytics transformation layer: design canonical datasets, define company-wide metrics, implement data quality and freshness checks, support experimentation and cohort/funnel analysis, and partner with product and engineering to improve instrumentation and analytics tooling.

The Business Systems Analyst supports application product lifecycle focusing on claims processing, collaborating with teams to gather requirements, enhance applications, and improve business processes using Agile methodology.

Perform exploratory, diagnostic, and descriptive analyses to generate insights and dashboards. Build and maintain reports, prepare and transform data (SQL/Python/Alteryx), validate pipelines, analyze A/B tests, document data lineage and business rules, and present findings to stakeholders to inform decisions across Digital, Marketing, Finance, and Operations.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

The Data Insight Analyst develops reports and analyses using SQL and Excel, provides consultative insights into data trends, manages client requests, and configures mapping tools for data reporting and quality assurance.

Senior individual contributor who builds centralized analytics (Power BI), delivers insights for underwriting and distribution, standardizes surety marketing content, drives operational efficiency and automation, and leads cross-functional strategic initiatives to improve decision-making and execution.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Analyze complex pharmaceutical transaction data, build forecasts and custom models, create dashboards and reports, identify trends and actionable insights, implement data quality/observability and process improvements, communicate technical specifications to stakeholders, mentor junior team members, and support cross-functional product and client initiatives while ensuring regulatory compliance (including HIPAA).