1

Data Analytics Manager Jobs in Reno, NV (NOW HIRING)

Experience with CRM analytics and data (HubSpot). * Proven ability to establish and maintain trusting relationships with high level stakeholders * Established, stable, and reliable company.

New

Supply chain domain knowledge Skill Matrix Skills Years of experience Advanced SQL Data Analytics Tableau Power BI AWS Databricks Thanks & Regards Himanshu Sharma Recruitment Lead Email : Himanshu01 ...

In-depth knowledge and experience with data management platforms, and the ability to examine ... Analyzing all of the brand's data inputs (ranging from syndicated to digital marketing data)

Manager, Subcontractor Relations

Reno, NV · On-site

$137K/yr

Develop, manage and report on budgets related to operations objectives and construction activities ... data analytics, and organizational skills, including the ability to anticipate tasks, analyze a ...

Develop operational dashboards and analytical applications used daily by engineers and operators * Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage ...

next page

Showing results 1-20

Data Analytics Manager information

See Reno, NV salary details

$30.9K

$96.9K

$171.5K

How much do data analytics manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data analytics manager in Reno, NV is $96,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Reno, NV? The most popular types of Data Analytics jobs in Reno, NV are:
What are popular job titles related to Data Analytics Manager jobs in Reno, NV? For Data Analytics Manager jobs in Reno, NV, the most frequently searched job titles are:
What cities near Reno, NV are hiring for Data Analytics Manager jobs? Cities near Reno, NV with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Reno, NV as of June 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution, with an average salary of $96,860 per year, or $46.6 per hour.
Data Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 hours ago


Job description

Hamilton Company is a worldwide leader in the design and manufacture of manual, semi-automated and robotic products for precision fluid measuring. We specialize in the development, manufacturing and customization of precision measurement devices, automated liquid handling stations, and sample management systems. For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials with skilled workmanship, ensuring the highest level of performance of every precision fluid measuring device we manufacture.

The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. 

Job duties and responsibilities: 

  • Collect, analyze, and interpret data to support business operations. 

  • Develop and maintain reports and dashboards to track KPIs. 

  • Assist in the development of analytical models to solve business problems. 

  • Communicate data findings to stakeholders in a clear and concise manner. 

  • Collaborate with team members to identify and address business needs. 

  • Stay updated with the latest industry trends and best practices in data analytics. 

  • Document SOPs for internal and external teams.

This role is located in Reno, NV and requires working onsite.


  • Proficiency in data analysis tools and software (SQL, Python, R, Power BI)
  • Ability to present complex data findings in a clear and concise manner to stakeholders. 
  • High level of accuracy and attention to detail. 
  • Ability to work effectively on a team. 
  • Strong interpersonal skills to prioritize and meet deadlines.
  • Willingness to learn and adapt to new tools, technologies, and methodologies. 
  • Ability to stay updated with industry trends and best practices in data analytics.
 
 

  • Bachelor's degree in data science, Economics, or a related field.

  • 1+ years of experience in data analysis or a related field.
  • Ability to explore and validate measures and tables against source data. 

  • Excellent written and verbal communication skills.    

  • Experience with CRM analytics and data (HubSpot). 
  • Proven ability to establish and maintain trusting relationships with high level stakeholders 
 
 

  • Established, stable, and reliable company.
  • Comprehensive benefits package: medical, dental, vision insurance; paid vacation and sick time; disability insurance; 401(k); tuition reimbursement; and more.
  • Engaging and innovative design projects.
  • Strong opportunities for professional growth.
  • Commitment to sustainable design practices.
  • Personal Protective Equipment (PPE) may be required (provided by employer).
  • Drug and background screenings required.

Equal Employment Opportunity - It is the policy of this organization to provide equal employment opportunities to all qualified applicants without regard to race, creed, color, national origin, sex, age 40 and over, disability, marital status, sexual orientation, gender identity, genetic information, citizenship status, religious preference, or veteran status in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.