Top Data & Analytics Jobs in Albuquerque, NM

Designs, builds, documents, tests, and maintains large-scale data pipelines across platforms and sources. Performs ETL and ELT while ensuring data governance, security, quality, validation, anomaly detection, and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions, develops data models, and mentors junior data engineers.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

Conduct quantitative research for traders by testing market hypotheses, building and maintaining documented signals, performing event studies and backtests, and validating results against leakage, survivorship bias, transaction costs, and regime dependence. Organize reproducible point-in-time datasets, communicate findings clearly, track signal performance, and use AI tools to accelerate research and coding while verifying outputs.

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

Lead cross-functional analytics initiatives across product, marketing, audio development, and business operations. Build data models, dashboards, self-serve reporting tools, and actionable company-wide metrics. Analyze activation funnels, A/B tests, growth KPIs, and product health while optimizing the analytics infrastructure. Partner with executives, engineering, product, marketing, and data engineering teams to improve governance, data adoption, and decision-making.

Develop enterprise Power BI solutions from discovery through adoption. Responsibilities include semantic modeling, advanced DAX and Power Query development, dashboard UX/UI design, governance, performance optimization, stakeholder workshops, client presentations, usability testing, adoption tracking, proposal support, and mentoring junior team members.

Lead strategic insights and market research projects for B2B clients, translating quantitative survey and statistical analysis into actionable recommendations. Manage client engagements, design surveys using methodologies such as conjoint and MaxDiff, present findings to nontechnical stakeholders, develop commercial offers, and coach Associates. The role supports marketing, product development, and strategic planning while helping build NewtonX’s professional services capabilities.

Lead the architecture and implementation of complex cloud-based data solutions for customers. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, interview and mentor architects and engineers, and oversee data standards and operating procedures. The role requires extensive AWS data architecture experience across traditional and modern data platforms, including big data, machine learning, generative AI, DataOps, infrastructure as code, CI/CD, and Python automation.

The Analytics Architect will design and implement cloud-based analytics solutions, maintain data pipelines, ensure data quality, and collaborate with teams to enhance operational efficiency.

Analyzes retailer, marketplace, syndicated, and household panel data to identify customer and category growth opportunities for Target’s Self Care business. Develops assortment, pricing, promotion, competitive, seasonal, and omni-channel recommendations for online and in-store growth. Presents insights, collaborates with customer development managers and internal partners, supports go-to-market initiatives, and improves analytical best practices and accuracy.