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Data Analyst
J.M. Huber CorporationCharlotte
Data Analyst Location:Charlotte, NC, USCompany:JM Huber CorporationHuber Engineered Woods (HEW), a division of J.M. Huber Corporation, combines its advanced adhesives and wood product technologies wit
Data Analyst
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Data Analyst
- Charlotte, North Carolina, United States
- Charlotte, North Carolina, United States
Über
Charlotte, NC, US
Company:
JM Huber Corporation
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.
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.
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Sprachkenntnisse
- English
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