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Statistical Data Analysis Jobs (NOW HIRING)

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Data Analysis Tutor

SC · Remote

$40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Data Analysis Tutor

WY · Remote

$40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Data Analysis Tutor

KS · Remote

$40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

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Statistical Data Analysis information

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How much do statistical data analysis jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for statistical data analysis in the United States is $38.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $50.24 per hour, depending on experience, location, and employer.

What is statistical data analysis?

Statistical data analysis is the process of collecting, organizing, interpreting, and presenting numerical data using statistical methods. It helps researchers and professionals identify patterns, trends, and relationships within data sets, enabling informed decision-making. Common techniques include descriptive statistics, hypothesis testing, regression analysis, and data visualization. Statistical data analysis is widely used in fields such as business, healthcare, social sciences, and engineering to draw meaningful conclusions from data.

Are statisticians highly paid?

Statisticians typically earn higher-than-average salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary based on experience, education, industry, and location, but the profession is generally considered well-compensated within the data analysis field.

What does a statistical data analyst do?

A statistical data analyst collects, processes, and interprets large datasets to identify trends and support decision-making. They use statistical software and techniques to analyze data, create reports, and communicate findings to stakeholders, often requiring strong analytical skills and knowledge of tools like Excel, R, or Python.

What is the difference between Statistical Data Analysis vs Data Scientist?

AspectStatistical Data AnalysisData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, finance, healthcare, academiaTech companies, finance, e-commerce, startups
Employer & Industry UsageUsed across industries for analyzing data setsUsed for building predictive models and data-driven products

Statistical Data Analysis focuses on interpreting data using statistical methods, often emphasizing hypothesis testing and descriptive statistics. Data Scientists combine statistical analysis with programming and machine learning skills to create predictive models and extract insights from large, complex data sets. While both roles analyze data, Data Scientists typically have broader technical skills and work on developing algorithms, whereas Statistical Data Analysts concentrate on statistical techniques and reporting.

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

To thrive as a Statistical Data Analyst, a solid background in statistics, mathematics, and data interpretation is required, often supported by a degree in statistics, mathematics, or a related field. Expertise in statistical software such as R, Python, SAS, or SPSS, along with experience in data visualization tools, is typically essential. Strong analytical thinking, attention to detail, and effective communication skills help analysts present complex findings clearly to stakeholders. These competencies are crucial for extracting actionable insights from data and supporting informed, data-driven business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

Is 40 too late for data science?

Statistical Data Analysis is a key skill in data science, and individuals can successfully transition into the field at age 40 or later. Many data scientists have diverse backgrounds and acquire necessary skills such as programming, statistics, and machine learning through online courses or certifications at any age.

What are some common challenges faced by professionals in statistical data analysis roles, and how can they be addressed?

Professionals in statistical data analysis often encounter challenges such as dealing with incomplete or messy datasets, selecting appropriate statistical methods, and ensuring the reproducibility of their analyses. Overcoming these obstacles typically involves rigorous data cleaning, continuous learning about statistical techniques, and using version control systems for code and data. Collaboration with subject matter experts and maintaining clear documentation are also essential for ensuring that findings are accurate and actionable.
More about Statistical Data Analysis jobs
What are the most commonly searched types of Statistical Data Analysis jobs? The most popular types of Statistical Data Analysis jobs are:
What states have the most Statistical Data Analysis jobs? States with the most job openings for Statistical Data Analysis jobs include:
Data Analysis Tutor

Data Analysis Tutor

Varsity Tutors

Allen, TX • Remote

$40/hr

Part-time

Posted 11 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Analysis Tutor
  • Advanced Subject Mastery: Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting dashboards. Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven decision-making responsibilities.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating charts and dashboards, writing SQL queries for data retrieval, and presenting findings with actionable recommendations. Emphasizes practical analytical skills and connects data analysis to marketing, operations, finance, and strategic business decisions.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business recommendations. Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau to support students from spreadsheet beginners through intermediate analysts building professional data analysis capabilities.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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