Data Analyst
Sattley, CA · On-site
Position : Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract Description: * Strong in advance SQL * Good at data analysis * Should be able to build BI ...
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Data Analyst
Sattley, CA · On-site
Position : Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract Description: * Strong in advance SQL * Good at data analysis * Should be able to build BI ...
Data Analyst
Reno, NV · On-site
Responsibilities The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and ...
Data Analyst
Reno, NV · On-site
Responsibilities The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and ...
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 ...
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 ...
Data Analyst
Reno, NV · On-site
Responsibilities The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and ...
Data Analyst
Reno, NV · On-site
Responsibilities The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and ...
Senior Financial and Data Analyst
Reno, NV · On-site
$85K - $106K/yr
WHAT YOU'LL BE DOING As a Senior Financial & Data Analyst at Jensen Infrastructure, you will play a central role in shaping how the business plans, forecasts, and makes informed decisions. This is a ...
Senior Financial and Data Analyst
Reno, NV · On-site
$85K - $106K/yr
WHAT YOU'LL BE DOING As a Senior Financial & Data Analyst at Jensen Infrastructure, you will play a central role in shaping how the business plans, forecasts, and makes informed decisions. This is a ...
Senior Financial and Data Analyst
$85K - $106K/yr
WHAT YOU'LL BE DOING As a Senior Financial & Data Analyst at Jensen Infrastructure, you will play a central role in shaping how the business plans, forecasts, and makes informed decisions. This is a ...
Senior Financial and Data Analyst
$85K - $106K/yr
WHAT YOU'LL BE DOING As a Senior Financial & Data Analyst at Jensen Infrastructure, you will play a central role in shaping how the business plans, forecasts, and makes informed decisions. This is a ...
We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer ...
We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer ...
Data Analyst information
See Reno, NV salary details
$33.9K - $43.1K
4% of jobs
$43.1K - $52.4K
7% of jobs
$52.4K - $61.6K
13% of jobs
$62.2K is the 25th percentile. Wages below this are outliers.
$61.6K - $70.9K
18% of jobs
The median wage is $75.2K / yr.
$70.9K - $80.1K
16% of jobs
$80.1K - $89.4K
13% of jobs
$92.8K is the 75th percentile. Wages above this are outliers.
$89.4K - $98.6K
9% of jobs
$98.6K - $107.9K
5% of jobs
$107.9K - $117.1K
9% of jobs
$117.1K - $126.4K
3% of jobs
$126.4K - $135.6K
2% of jobs
$33.9K
$82.4K
$135.6K
How much do data analyst jobs pay per year?
As of Jun 26, 2026, the average yearly pay for data analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.
What is the difference between Data Analyst vs Data Scientist?
| Aspect | Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools | Bachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees |
| Work Environment | Business settings, focusing on data reporting and visualization | Research and development environments, focusing on predictive modeling and complex algorithms |
| Employer & Industry Usage | Retail, finance, healthcare, and marketing companies | Tech firms, research institutions, and large enterprises |
While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.
What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?
Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.
Is 40 too late for data science?
A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.
Will AI replace a data analyst?
AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.
What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.
What Does a Data Analyst Job Do?
Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.
What does a Data Analyst do?
A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
Is it hard to get a data analyst job?
Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.
What job does a data analyst do?
A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Reno, NV? The most popular types of Data Analyst jobs in Reno, NV are:
What are popular job titles related to Data Analyst jobs in Reno, NV? For Data Analyst jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Reno, NV look for? The top searched job categories for Data Analyst jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Analyst jobs? Cities near Reno, NV with the most Data Analyst job openings:
Contractor
Posted 26 days ago
Job description
Hello There,
My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Analyst with our esteemed client. If you are interested then please share your updated resume.
Job Description
Position : Data Analyst
Location : Santa Clara, CA Onsite – Local Only
Duration : Long term contract
Description:
- Strong in advance SQL
- Good at data analysis
- Should be able to build BI dashboards using Tableau & Power BI
- Candidate should be able to assist business stakeholders in building their dashboards
- 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@kanakits.com
LinkedIn : https://www.linkedin.com/in/himanshustaffingexpert/
Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.