1

Senior Business Intelligence Jobs in Reno, NV (NOW HIRING)

VP of Operations

Reno, NV · On-site

$120 - $160/hr

The Vice President of Operations serves as the senior operational leader responsible for ... Monitor and evaluate operational performance through Business Intelligence reporting, dashboards ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

Partner with business stakeholders to translate non-technical requirements into actionable AI/ML ... D. in Artificial Intelligence, Machine Learning, or a related field. * Experience with hardware ...

Sr. Principal, RF Engineer

Sparks, NV · On-site

$190 - $215/hr

... intelligence missions. We are dedicated to attracting high‑achieving individuals. Our team ... Serve as the RF SME for the business, providing overall technical leadership to the Engineering ...

next page

Showing results 1-20

Senior Business Intelligence information

See Reno, NV salary details

$40

$59

$86

How much do senior business intelligence jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for senior business intelligence in Reno, NV is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $52.74 and $64.47 per hour, depending on experience, location, and employer.

What is the difference between Senior Business Intelligence vs Business Intelligence Analyst?

AspectSenior Business IntelligenceBusiness Intelligence Analyst
Required CredentialsBachelor's degree, often with experience or certifications in data analysis or BI toolsBachelor's degree, certifications in data analysis or BI tools preferred
Work EnvironmentLeads projects, mentors team, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries for strategic rolesCommonly employed in various sectors for data analysis

Senior Business Intelligence roles typically involve leading projects, mentoring teams, and strategic planning, whereas Business Intelligence Analysts focus on data analysis, report creation, and supporting decision-making. Both roles require similar credentials and are integral to data-driven organizations, but the senior position emphasizes leadership and strategy.

What are some common challenges faced by senior business intelligence professionals when working with cross-functional teams?

Senior Business Intelligence professionals often collaborate with stakeholders from various departments, such as marketing, finance, and operations. A common challenge is translating complex data insights into clear, actionable recommendations for colleagues who may not have a technical background. Additionally, managing differing priorities and ensuring data accuracy across multiple sources can be demanding. Success in this role requires strong communication, stakeholder management, and problem-solving skills to bridge the gap between data analysis and business strategy.

What are the key skills and qualifications needed to thrive as a senior business intelligence professional?

A Senior Business Intelligence professional needs expertise in data analysis, data modeling, and reporting, typically backed by a degree in computer science, statistics, or a related field. Strong command of BI tools such as Tableau, Power BI, SQL, and possibly certifications in these platforms are highly valuable. Analytical thinking, problem-solving ability, and effective communication skills set top performers apart in this role. These skills enable the professional to turn complex data into actionable insights that drive organizational decision-making and strategy.

What is a senior business intelligence?

A Senior Business Intelligence Analyst is a professional who leverages data to help organizations make strategic decisions. They design and manage BI solutions, analyze complex business data, and present insights to leadership teams. Their role often involves working with data warehousing, reporting tools, and collaborating with various departments to improve business processes. Senior BI Analysts are also responsible for mentoring junior analysts and ensuring data quality and governance. They play a critical role in transforming raw data into actionable business strategies.
What are the most commonly searched types of Business Intelligence jobs in Reno, NV? The most popular types of Business Intelligence jobs in Reno, NV are:
What are popular job titles related to Senior Business Intelligence jobs in Reno, NV? For Senior Business Intelligence jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Senior Business Intelligence jobs in Reno, NV look for? The top searched job categories for Senior Business Intelligence jobs in Reno, NV are:
Infographic showing various Senior Business Intelligence job openings in Reno, NV as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $124,562 per year, or $59.9 per hour.

Senior Business Intelligence Analyst

Tahoe Forest Health

Truckee, CA

$111K/yr

Full-time

Posted 9 days ago


Job description

This position is expected to be onsite in either Reno, NV or Truckee, CA.

Bargaining Unit: Non Represented - Professional 

Rate of Pay: $111,217/annually + DOE

Summary
The Senior BI Analyst will play a critical role in analyzing complex datasets, developing actionable insights, and creating impactful visualizations to support operational and strategic decision-making across the organization. This position will bridge the gap between data query and actionable analytics, providing valuable support to clinical, operational, and financial teams, as well as future process improvement initiatives.

Essential Duties and Responsibilities

Data Analysis and Visualization
  • Analyze clinical, financial, and operational data to uncover trends, patterns, and opportunities for performance improvement.
  • Conduct root cause analysis to identify the underlying reasons for trends or anomalies in the data and provide actionable recommendations.
  • Build interactive and user-friendly dashboards, visualizations, and reports that provide clear and actionable insights to stakeholders.
  • Ensure dashboards are tailored to end-user needs, providing accurate and timely updates to support organizational goals.
  • Collaborate with BI Developers to validate the integrity of underlying data sources and identify areas for improvement in data quality.
  • Build interactive and user-friendly dashboards, visualizations, and reports that provide clear and actionable insights to stakeholders.
  • Ensure dashboards are tailored to end-user needs, providing accurate and timely updates to support organizational goals.
  • Collaborate with BI Developers to validate the integrity of underlying data sources and identify areas for improvement in data quality.
Process Improvement Support
  • Work closely with clinical, financial, and operational leaders to understand their analytical needs and align data solutions to support key priorities.
  • Present complex data findings through compelling storytelling techniques, using charts, graphs, and narratives to clearly convey insights.
  • Serve as a liaison between the BI team and departments, ensuring a shared understanding of data requirements and outputs.
  • Educate stakeholders on data insights and promote a culture of data-driven decision making across the organization.
  • Train stakeholders on how to interpret and utilize dashboards, reports, and analytics tools effectively to drive informed decision-making.
Collaboration and Communication
  • Work closely with clinical, financial, and operational leaders to understand their analytical needs and align data solutions to support key priorities.
  • Present complex data findings through compelling storytelling techniques, using charts, graphs, and narratives to clearly convey insights.
  • Serve as a liaison between the BI team and departments, ensuring a shared understanding of data requirements and outputs.
  • Educate stakeholders on data insights and promote a culture of data-driven decision making across the organization.
Technical Expertise
  • Automate data pipelines to streamline the extraction, transformation, and delivery of data for analysis and reporting.
  • Create and maintain self-service BI tools and platforms to empower end-users to access and analyze data independently.
  • Utilize SQL and other tools to perform advanced data extractions, cleaning, and analysis from multiple data sources (Clarity, Access, Axiom, etc.).
  • Develop and apply statistical models, forecasting techniques, and predictive analytics to deliver deeper insights into clinical and operational trends.
  • Perform regular data quality checks and validation to ensure data accuracy and reliability.
  • Research and recommend new tools, processes, or technologies to improve the BI team’s analytical capabilities.
Project Management
  • Manage multiple concurrent projects, prioritizing requests based on organizational impact, stakeholder needs, and deadlines.
  • Develop project timelines, milestones, and deliverables, ensuring all analytics work meets quality standards and stakeholder expectations.
  • Monitor project progress, proactively addressing challenges and communicating updates to relevant parties.
  • Lead cross-functional teams in delivering analytics-driven solutions that meet business requirements.

Demonstrates System Values in performance and behavior.

Complies with System policies and procedures.

Other duties as may be assigned.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Supervisory Responsibilities
No supervisory responsibilities.

Minimum Education/Experience
Bachelor's Degree Bachelor’s degree in either Business Analytics, Computer Science, Finance, Accounting, Statistics, or a related field. Master’s degree preferred.

5 or more years relevant experience

Required Licenses/Certifications
None

Other Experience/Qualifications
Minimum Requirement:
  • At least 3 years of healthcare experience.
Preferred Technical Skills:
  • Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
  • Experience with EPIC data models such as Clinical, Revenue, and Access data models.
  • Familiarity with Axiom or similar financial reporting tools is a plus.
Preferred Competencies:
  • Strong analytical and problem-solving skills.
  • Excellent communication and data presentation abilities.
  • Ability to work collaboratively across teams and adapt to changing priorities.