Top Remote Analysis Reporting Jobs in Tucson, AZ

Partner with Product Insights to lead end-to-end quantitative analyses that shape product decisions. Translate ambiguous questions into rigorous, decision-focused analyses (funnels, cohorts, retention, experiments) and deliver actionable recommendations that influence roadmap and strategy.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.

Execute financial models and pharmacy claims analyses to support underwriting for sales bids, present results to stakeholders, recommend pricing adjustments, drive pricing research, improve processes, and run quality control on analyses.

Manage and validate supplier data and platform configurations to ensure accurate invoicing and compliant workflows. Perform QA on catalogs and loads, resolve supplier-related tickets, load data into EMR, produce reports, recommend process improvements, and provide Level 2 support and mentorship to junior analysts.

Lead data architecture and strategy across product, data science, and engineering. Design cloud-centric, scalable data models, ETL/ingestion, governance, and AI/ML-ready analytics. Guide tooling selection, proofs-of-concept, data storage decisions, security/compliance, documentation, and mentor Data Platform team members to operationalize mission-critical data solutions.

Lead and grow a Locations Analytics team while performing hands-on product analytics, experimentation, causal inference, and geospatial analyses. Partner with Product, Engineering, Design, Data Science, and Marketing to define KPIs, run A/B tests, build reporting and dashboards, and present strategic insights to senior leadership to drive location-based product decisions.

Drive GTM analytics for Marketing and Sales by building multi-touch attribution, improving funnel conversion, maintaining reliable BI dashboards, automating reporting with AI, and delivering actionable revenue insights to optimize spend and pipeline health.

Customer-facing senior Solutions Architect for AI/BI product line: design and deliver cloud-based lakehouse analytics and data-visualization solutions, partner with account teams and GSIs, run workshops and demos, act as tier-3 technical escalation, and translate field insights into product recommendations.

Own marketplace analytics and attribution, build source-of-truth dashboards, define and instrument product/growth metrics, run A/B experiments end-to-end, perform cohort LTV/payback analysis, support SEO and technical growth, and partner with AI to measure feature impact and accelerate analytics with AI tools.

Lead data science efforts for marketplace product: design experiments, apply causal inference and ML, analyze customer acquisition/engagement/retention, mentor teammates, and translate results into product decisions.