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Director Of Data Analytics Jobs in Reno, NV (NOW HIRING)

Data Science Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... directed by the Leadership Team * Interacts and engages with Operations and Shipping departments to ... Minimum of two (2) years of data entry, order entry, or customer service experience in a complex ...

... analysis of data and reports to ensure high service standards and operating efficiencies. • ... to direct complex operations in an efficient, effective manner and maintain a high level of ...

Data Engineer II

Reno, NV

$114K - $137K/yr

With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 ... Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform ...

Data Engineer II

Reno, NV

$114K - $137K/yr

With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 ... Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform ...

Data Entry Specialist

Reno, NV · On-site

$17 - $22.75/hr

That same spirit of innovation and collaboration shapes everything we do. We encourage curiosity ... Ability to analyze a problem, solicits input to seek alternative solutions, and recommend/implement ...

Showing results 41-60

Director Of Data Analytics information

See Reno, NV salary details

$70.8K

$157.7K

$243.8K

How much do director of data analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director of data analytics in Reno, NV is $157,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $179,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data analytics when aligning data initiatives with business objectives?

A Director of Data Analytics often encounters the challenge of bridging the gap between technical data solutions and the strategic goals of the business. This involves translating complex analytical insights into actionable recommendations for non-technical stakeholders, prioritizing projects that deliver the most value, and ensuring data quality and governance standards are maintained. Additionally, coordinating across departments to align on KPIs and fostering a data-driven culture can be demanding but is essential for successful outcomes. Strong communication, leadership, and a deep understanding of both data and business operations are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a director of data analytics, and why are they important?

To thrive as a Director of Data Analytics, you need deep expertise in data analysis, statistics, and business intelligence, typically supported by an advanced degree in a quantitative field and several years of leadership experience. Familiarity with data visualization tools (such as Tableau or Power BI), database systems (like SQL), and analytics platforms, along with certifications in data science or analytics, are highly valued. Strong leadership, strategic thinking, and communication skills distinguish top performers in this role. These competencies are crucial for driving data strategy, translating insights into business value, and leading effective analytics teams.

What is the difference between Director Of Data Analytics vs Data Analyst?

AspectDirector Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams and strategyAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations across industries for strategic oversightCommon in various industries for data interpretation and reporting

The Director Of Data Analytics typically holds a senior leadership position, focusing on strategy and team management, requiring advanced credentials. In contrast, Data Analysts perform hands-on data analysis and reporting, often with less experience. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Director Of Data Analytics jobs in Reno, NV? For Director Of Data Analytics jobs in Reno, NV, the most frequently searched job titles are:
What cities near Reno, NV are hiring for Director Of Data Analytics jobs? Cities near Reno, NV with the most Director Of Data Analytics job openings:
Infographic showing various Director Of Data Analytics job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,652 per year, or $75.8 per hour.

Senior Business Intelligence Analyst

Tahoe Forest Health

Truckee, CA • On-site

$111K/yr

Full-time

Posted 7 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.