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Data Analyst Data Science Jobs in Denver, NC (NOW HIRING)

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Finance, or a related field, or an equivalent combination of education and ...

Leverage modern cloud, data science, and AI technologies to deliver innovative products and services. * Communicate analytical insights and recommendations to diverse audiences, including senior ...

Data Analyst IRC301484

Charlotte, NC · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Statistics, Data Analytics, Engineering, or a related field * 2-5+ years of experience in data analysis, data modeling, and data validation projects

Required : • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) • Proven experience in data analysis, machine learning, or ...

Data Analyst, People Analytics

Charlotte, NC · Hybrid

$75K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build relationships with our teams and data science teams to identify new opportunities for deep analytics within the Human Capital organization What We're Looking For * 1-3 years of hands-on ...

Data Scientist - Metrology

Hickory, NC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contribute to ongoing analytics initiatives that improve operational efficiency, product quality, and business performance. Must Haves * Bachelor's degree in Data Science, Statistics, Mathematics ...

New

Data Analyst, People Analytics

Charlotte, NC · On-site

$75K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build relationships with our teams and data science teams to identify new opportunities for deep analytics within the Human Capital organization What We're Looking For * 1-3 years of hands-on ...

Sr Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The experience you bring: * BS in Computer Science, Mathematics, Finance, or related field. Master's degree preferred. * Minimum of 6+ years of professional experience in Data analysis, Data Quality ...

Over five years in analytics, data science, or business intelligence. * Education: Bachelor's degree in a relevant field * Technical Skills: Proficiency in SQL, Tableau, Python, PySpark and cloud ...

Sr Data Analyst

Charlotte, NC

$84K - $106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The experience you bring: * BS in Computer Science, Mathematics, Finance, or related field. Master's degree preferred. * Minimum of 6+ years of professional experience in Data analysis, Data Quality ...

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

Job Title: Data Analyst Location: Charlotte, NC Mode Of Work: Hybrid It's a W2 role * Develop analytics reports in looker and power BI leveraging various data sources. * Use LLM's to build AI ...

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Qualifications: 8+ years of relevant analytical experience recommended. Master's or Ph.D. in ... Data Science, Computer Science, or a similar analytical field, or a relevant professional ...

Data Analyst

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 - Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down ...

Data Analyst

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down the ...

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

This newly formed role will collaborate with developers, data owners, governance leads and business analysts within the IT and CDAO departments as well as other stakeholders aligned with the ...

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

Showing results 21-40

Data Analyst Data Science information

See Denver, NC salary details

$31.4K

$76.4K

$125.8K

How much do data analyst data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst data science in Denver, NC is $76,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What job categories do people searching Data Analyst Data Science jobs in Denver, NC look for? The top searched job categories for Data Analyst Data Science jobs in Denver, NC are:
What cities near Denver, NC are hiring for Data Analyst Data Science jobs? Cities near Denver, NC with the most Data Analyst Data Science job openings:

Full-time

Re-posted 17 days ago


Job description

Huber Engineered Woods (HEW), a division of J.M. Huber Corporation, combines its advanced adhesives and wood product technologies with state-of-the-art manufacturing capabilities to produce premium structural wood panel products. Innovative construction products like AdvanTech® subflooring and ZIP System® sheathing have changed the way homes and buildings go together. HEW brings together professionals with experience in research and development, product engineering and manufacturing to create products that solve specific problems.

Our Corporate Office is located in Charlotte, North Carolina. HEW manufacturing facilities are located in Georgia, Virginia, Oklahoma, Tennessee and Maine. To learn more, please visit our website at www.huberwood.com.

Position Summary

As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self-starter, ownership-driven professional who wants to move beyond reporting to influence decisions, improve processes, and unlock business value. At HEW, you will have the opportunity to shape scalable analytics solutions, elevate data maturity, and play a key role in driving continuous improvement across the business. 

Principal Duties & Responsibilities

•    Partner with functions to understand their processes to determine optimal DA solutions
•    Own end-to-end analytics project delivery, managing requirements, deployment, and competing stakeholder priorities
•    Design, build, and maintain scalable Power BI reports, Fabric solutions, and semantic models aligned to best practices
•    Translate business needs into structured, reusable analytics solutions and standardized data logic with documentation
•    Identify gaps in reporting, data models, and processes, and implement scalable improvements
•    Challenge existing solutions and drive efficiency through automation, optimization, and AI-driven approaches
•    Drive solution adoption through trusted advisory, training, and documentation
•    Ensure adherence to data governance policies, modeling standards, and best practices while enabling future AI capabilities

Qualifications

•    Bachelor’s degree in a quantitative discipline
•    2–5 years of experience in analytics, data, or a related field
•    Proven ability to manage and deliver multiple projects in a matrixed, project-based environment
•    Strong ownership mindset—takes initiative, follows through, and delivers results with minimal oversight
•    Demonstrated ability to identify opportunities and proactively solve business problems
•    Ability to influence stakeholders and drive adoption of analytics solutions

Business and Technical Skill (required)

•    Problem-solving and critical thinking
•    Clear written and verbal communication (ability to explain technical concepts simply)
•    Strong organization, planning, and attention to detail
•    Experience with process improvement, automation, and documentation
•    Ability to operate effectively in ambiguity and create structure

•    Power BI (or similar visualization tool); SQL, DAX, and scripting (Python preferred)
•    Data modeling (star schema, relationships, performance optimization) and ETL/data transformation
•    Experience working with financial, operational, or transactional data; familiarity with applying AI in analytics (prompting, APIs, automation)

Technical Skill (preferred)

•    Microsoft Fabric platform; experience with project management tools (Azure DevOps, Jira, etc.)
•    Experience working in governed data environments with centralized models

Huber Engineered Woods is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, sexual orientation, gender identity, age, protected veteran status, non-disqualifying physical or mental disability, national origin, genetic information, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.