Top Remote Analysis Reporting Jobs in Reno, NV

Leads marketing experimentation, conversion optimization testing, incrementality analysis, marketing mix modeling, and statistical measurement programs. Designs rigorous experiments, manages SQL-based testing databases, validates data, develops executive reporting, and translates complex findings into investment and marketing recommendations. Partners with marketing, product, technology, analytics, and executive teams while potentially mentoring junior analysts.

Lead quantitative analytics for customer conversion, follow-up, retention, and recapture. Build KPIs, reporting, experimental measurement strategies, and complex T-SQL data solutions. Partner with Sales, Operations, Marketing, and Servicing leaders to identify opportunities and deliver actionable recommendations. Provide analytical leadership to other analysts while driving measurable revenue and business impact.

Develop and maintain quantitative models for forecasting, pricing optimization, and risk assessment. Analyze mortgage business metrics to identify revenue, profitability, and operational improvement opportunities. Build performance measurement frameworks, dashboards, automated reports, and SQL-based analytics workflows. Use Python for statistical analysis, automation, and machine learning workflows. Validate and monitor model performance, recalibrating models as needed, while communicating actionable recommendations to business leaders.

Design and operate Alpaca’s scalable data platform on GCP, including lakehouse infrastructure, Kubernetes-based deployments, streaming and CDC pipelines, batch ingestion, BI access, cataloging, monitoring, and governance. Build infrastructure as code with Terraform and Ansible, operate distributed query engines and Apache Iceberg, maintain reliability practices, and collaborate with DevOps and analytics teams to support rapidly evolving data requirements.

Develops scalable business intelligence and analytics solutions for Microsoft’s cloud data center delivery lifecycle. Builds data assets, dashboards, models, and automated workflows; improves data quality and reporting; translates complex business questions into analytical requirements; identifies process improvements; and delivers actionable insights to technical and executive stakeholders through cross-functional partnership.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Performs data quality checks, validates data after system and process changes, investigates discrepancies, and identifies root causes. Maintains quality rules and documentation, tracks issues, prepares reports, monitors trends, and coordinates resolutions with Data, Engineering, Product, and Operations teams. Supports testing of data workflows and product features while recommending improvements to data processes and controls.

Collects, cleans, and organizes structured data; prepares recurring reports and dashboards; identifies trends and inconsistencies; performs data quality checks; tracks business and product metrics; supports senior analysts with research and ad hoc analysis; documents findings; and collaborates with Data, Product, Engineering, and Operations teams.

Build and maintain dashboards, reports, and recurring business intelligence solutions. Analyze business and product data, define KPIs, validate reporting accuracy, investigate discrepancies, and present actionable insights. Translate stakeholder needs into analytical requirements, collaborate with Data, Product, Engineering, and Operations teams, document data assets, and improve or automate reporting processes.

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Lead client-facing analytics implementations across Google Analytics 4, Adobe Analytics, and tag management systems. Responsibilities include designing measurement strategies, auditing digital ecosystems, managing tagging and consent platforms, developing data governance and privacy solutions, analyzing performance, aligning KPIs with business goals, presenting insights, supporting proposals, and improving internal analytics standards. Preferred experience includes server-side tagging, data clean rooms, customer data platforms, experimentation, CRM systems, and ETL tooling.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.