Top Analysis Reporting Jobs in Albuquerque, NM

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

Design, optimize, and govern Komodo's Snowflake-centered data infrastructure, integrate with Databricks and adjacent stores, reduce costs and improve query performance, implement monitoring/automation, establish metadata and RBAC governance, and coach teams on best practices to meet compliance and performance SLAs.

Lead architecture and execution of Faire's data platform and analytics capabilities. Build and operate scalable, secure ETL/ELT, streaming, storage, compute, orchestration, and data warehousing at petabyte scale. Drive performance, cost, monitoring, governance, and self-serve analytics; influence cross-functional teams and mentor engineers.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

As a Senior Data Scientist at Yahoo Mail, you will enhance user growth strategies via product innovation, overseeing research projects and analytics.

Designs and operates scalable serverless AWS data pipelines, data models, ETL/ELT workflows, feature stores, and analytics-ready data assets. Partners with AI, Analytics, Product, and Underwriting teams to support reproducible ML training and scoring, MLOps, data quality, monitoring, governance, and production troubleshooting. The role handles sensitive healthcare and financial data, optimizes serverless workloads, supports batch and near-real-time processing, and applies infrastructure-as-code, CI/CD, documentation, and responsible data-use practices.

Forecasts call volumes, handle times, and service metrics; develops staff schedules; analyzes workforce and performance data; prepares reports; monitors real-time call and agent activity; performs ad hoc and operational analyses; and communicates recommendations to management regarding staffing, scheduling, service levels, and operational initiatives.

Designs, develops, optimizes, and maintains enterprise data platforms, databases, ETL workflows, reporting solutions, and business intelligence systems. Leads technical design, SDLC processes, production troubleshooting, documentation, stakeholder collaboration, and automation efforts. Requires advanced Microsoft SQL Server, T-SQL, and SSIS expertise, plus experience with data warehousing, BI, dashboards, and Microsoft DevOps. Cloud data services, APIs, Microsoft BI tools, and Python or Java are preferred or advantageous.

Designs, develops, and optimizes enterprise data platforms, databases, ETL workflows, data integrations, reporting, and business intelligence solutions. Leads technical designs, automated process improvements, production troubleshooting, documentation, and dashboard development. Collaborates with stakeholders and vendors, supports scalability and cloud migration, and participates in an off-hours support rotation. Requires advanced SQL Server, SSIS, T-SQL, SDLC, and data engineering expertise.