Top Analysis Reporting Jobs in Reno, NV

Participate in CIG’s actuarial internship program, developing insurance industry expertise, conducting analysis under experienced actuary supervision, and building quantitative problem-solving skills. The role is fully in-office in Reno, Nevada, within the Actuary and Analytics team.

Designs, builds, and maintains business intelligence applications, data pipelines, semantic layers, dashboards, reports, and data transformations. Analyzes data sources and workflows, translates stakeholder needs into actionable data products, applies data architecture and governance principles, and ensures data quality. The role also promotes BI development best practices, including version control, testing, CI/CD, and mentoring junior and mid-level developers.

Supports financial aid services by administering PeopleSoft Campus Solutions functionality, testing system changes, troubleshooting issues, and coordinating with Financial Aid and IT. Creates queries, reports, dashboards, and data extracts; analyzes data to maintain integrity and compliance; improves processes and student-facing functionality; and documents system procedures and requirements.

Establishes and operates North America Operations’ data-governance framework, including ownership, stewardship, quality, metadata, lineage, definitions, and AI governance. Partners with business, data, technology, risk, and compliance teams to resolve data issues, automate controls, improve trust, and embed governance into data products, analytics, and AI solutions. Develops playbooks, training, metrics, and continuous-improvement processes while driving accountability across functions.

Lead and grow a team of data engineers and analysts, own the data platform roadmap, design and operate reliable data pipelines across streaming, APIs, and various stores, set on-call and production monitoring practices, remain technically hands-on, and drive cross-functional collaboration to deliver analytics and infrastructure work.

Leads the enterprise business intelligence and analytics strategy, manages BI and data analysts, and oversees analytics roadmaps, projects, platforms, dashboards, and vendor relationships. Translates complex data into actionable financial and business insights, supports SAP and Power BI platform upgrades, manages delivery timelines and resources, and coaches team members. The role also drives stakeholder engagement, continuous improvement, talent development, and data-driven decision-making across the organization.

Owns performance analytics for General Liability claims processes, monitoring trends, diagnosing root causes, evaluating process improvements, and recommending priorities to leadership. Partners cross-functionally with claims, actuarial, underwriting, data, and field operations teams. Presents metrics and action items, validates deployed solutions, supports process optimization, and translates customer and business needs into actionable data-driven solutions.

The Analytics Business Partner works directly with leaders to diagnose business performance, define and govern metrics, build end-to-end analytics, and translate findings into decisions. Responsibilities include owning the analytics roadmap, validating data, improving data quality across ERP, HR, and CRM systems, partnering on dbt models, running leadership reporting, and training users. The role requires strong SQL, Tableau, AI-tool experience, consultative communication, and the ability to work with multiple data sources. It is fully remote in the U.S. with up to 20% travel.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.