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Manufacturing Data Analyst Remote Jobs in Spring, TX

US Remote This resource will work specifically on anomaly detection within one of our plant ... Prior experience predictive maintenance in a power or manufacturing environment. * Experience with ...

... Data Analyst etc. * Skilled in the management of complex systems and decision-making under ... Ability to travel up to 25% #LI-JB1 #LI-REMOTE This amount is what we reasonably believe we will ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Business Analyst

Houston, TX · On-site +1

$75K - $85K/hr

Analyze provider and market data to identify trends, risks, gaps, and opportunities, and present ... This position may operate in a hybrid environment with a combination of office and remote work ...

Analyze provider and market data to identify trends, risks, gaps, and opportunities, and present ... This position may operate in a hybrid environment with a combination of office and remote work ...

Senior Energy Market Analyst

Houston, TX · On-site +1

$110K - $120K/yr

... remote consideration available on a case-by-case basis depending on the candidate's experience and ... Are you passionate about shaping the future of renewable energy through data-driven strategy and ...

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Manufacturing Data Analyst Remote information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do manufacturing data analyst remote jobs pay per year?

As of Jul 20, 2026, the average yearly pay for manufacturing data analyst remote in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

How can I make $100,000 a year working from home?

A Manufacturing Data Analyst working remotely can reach a $100,000 annual salary by gaining specialized skills in data analysis, manufacturing processes, and tools like SQL or Python, along with relevant certifications. Building experience, demonstrating strong analytical abilities, and working for companies that offer competitive pay and remote opportunities are key factors in achieving this income level.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

How does a Manufacturing Data Analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

Is it possible to get a remote job as a data analyst?

Yes, many data analyst roles, including manufacturing data analysts, are available as remote positions. These jobs often require skills in data visualization, SQL, and tools like Excel or Tableau, and may involve remote collaboration tools. The availability of remote work depends on the employer and the specific job requirements.

What are the key skills and qualifications needed to thrive as a Manufacturing Data Analyst (Remote), and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and may work closely with engineering and production teams to optimize manufacturing efficiency.

What is a Manufacturing Data Analyst (Remote)?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How can I make $2000 a week working from home?

A Manufacturing Data Analyst working remotely can potentially earn $2000 or more per week by gaining specialized skills in data analysis, using tools like Excel, SQL, or Python, and working for companies that offer high-paying freelance or contract roles. Building a strong portfolio, obtaining relevant certifications, and seeking opportunities with higher pay rates can help achieve this income level. Consistent remote work, often on a full-time basis, is essential for reaching such earnings.
What are popular job titles related to Manufacturing Data Analyst Remote jobs in Spring, TX? For Manufacturing Data Analyst Remote jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Spring, TX look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Spring, TX are:
What cities near Spring, TX are hiring for Manufacturing Data Analyst Remote jobs? Cities near Spring, TX with the most Manufacturing Data Analyst Remote job openings:
Routing and Siting Lead GIS Analyst

Routing and Siting Lead GIS Analyst

Quanta Services

Spring, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Quanta Services rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

43rd of 80 rated construction


Job description

Canacre’s core services focus on leadership in Environment and Land services throughout the project lifecycle. At Canacre, we emphasize continuous development and growth. Our commitment to investing in industry knowledge and the expertise of our teams sets us apart. Our goals are to provide technical leadership for greater regulatory understanding and certainty and to build collaborative relationships with stakeholders, mitigating tomorrow’s environment, land and right-of-way risks today.

At Canacre, we act with honesty and integrity within a culture where trust, collaboration, and teamwork flourish. We commit to diversity, inclusivity and the celebration of successes. Our vision is to foster an environment that promotes inspired and empowered team members who make an impact.


Canacre’s core services focus on leadership in Environment and Land services throughout the project lifecycle. At Canacre, we emphasize continuous development and growth. Our commitment to investing in industry knowledge and the expertise of our teams sets us apart. Our goals are to provide technical leadership for greater regulatory understanding and certainty and to build collaborative relationships with stakeholders, mitigating tomorrow’s environment, land and right-of-way risks today.

At Canacre, we act with honesty and integrity within a culture where trust, collaboration, and teamwork flourish. We commit to diversity, inclusivity and the celebration of successes. Our vision is to foster an environment that promotes inspired and empowered team members who make an impact.

The Routing & Siting Lead GIS Analyst is a senior technical role responsible for the design, execution, and optimization of geospatial workflows supporting routing and siting studies for linear infrastructure and site development projects. This position requires deep expertise in spatial analysis, data engineering, with a strong focus on reproducibility, automation, and defensible analytical methodologies.

You will lead the development and implementation of advanced geospatial models, constraint analyses, and suitability frameworks, while ensuring high data integrity, performance, and scalability across enterprise GIS environments.


  • Design and implement multi-criteria decision analysis (MCDA) models for route selection and site suitability.
  • Develop cost surface models, least-cost path analyses, corridor generation, and alternatives assessment workflows.
  • Integrate environmental, regulatory, engineering, and socio-economic datasets into constraint and opportunity mapping frameworks.
  • Document and maintain transparent, defensible methodologies aligned with regulatory and client requirements.
  • Architect and maintain enterprise geodatabases, data schemas, and versioning strategies.
  • Develop ETL workflows for ingesting, transforming, and validating large, multi-source spatial datasets.
  • Ensure data integrity through topology rules, domain constraints, and automated validation scripts.
  • Manage and optimize large raster and vector datasets, including DEMs, land cover, and remote sensing products.
  • Build and maintain automated geoprocessing workflows using Python (ArcPy), FME and ModelBuilder.
  • Develop reusable scripts and tools to support repeatable routing and siting analyses.
  • Implement batch processing pipelines for data updates, QA/QC, and reporting.
  • Support integration with APIs and external data services where applicable.
  • Produce high-quality cartographic outputs, technical figures, and map series suitable for regulatory submissions and client reporting.
  • Develop dynamic dashboards and web-based mapping applications to communicate analytical results.
  • Translate complex geospatial analyses into clear, technically accurate deliverables.
  • Perform other duties as required.

  • Post secondary degree in GIS, Cartography, Geography, or related field of study, or equivalent experience.
  • Minimum 5-7 years professional experience in Routing and Siting.
  • Minimum 8-15 years professional experience in GIS.
  • Professional experience with ESRI ArcGIS and its extensions.
  • Extensive experience in routing and siting for linear infrastructure (e.g., pipelines, transmission, transportation, to support development of environmental assessments and permit applications for submittal to agencies requiring a Certificate of Convenience and Necessity).
  • Expert-level proficiency with ArcGIS Pro and ArcGIS Enterprise; experience with QGIS is an asset.
  • Professional Experience with:
    • Least-cost path and network analysis
    • Remote sensing and terrain analysis
    • Spatial statistics and modeling
  • Strong experience with:
    • Raster and vector analysis
    • Spatial modeling and suitability analysis
    • Large-scale geospatial data management
  • Proven experience developing automated GIS workflows and scripts (FME/Python/ArcPy).
  • Experience working with enterprise GIS environments and multi-user data systems.
  • Maintenance of SQL Server/Enterprise Database knowledge.
  • Professional experience with Experience Builder, Story Maps, Hub Sites, and other advanced Esri software is considered an asset.
  • Digitizing, editing, and performing queries in ArcGIS Pro, and relational databases.
  • Knowledge of regulatory frameworks and environmental constraints relevant to routing and siting.
  • Working knowledge of Microsoft Office 365.
  • Excellent written and verbal communication skills.
  • Excellent analytical and problem-solving skills.
  • Ability to lead others and train staff and clients in a professional manner.
  • A keen attention to detail.
  • An advanced understanding of the importance of projections, coordinate systems and datums.
  • An understanding of how to integrate CAD, KMZ/KML and GIS data.

  • Competitive Compensation
  • Comprehensive Health Coverage - Multiple Medical, dental & vision plans with 100% preventive care
  • 24/7 telehealth (Teladoc)
  • Employee Assistance Program (EAP)
  • Company-funded HSA and pre-tax savings options
  • 401(k) Retirement Plan
  • No-cost Short- and Long-term Disability
  • Employer-paid basic Life & AD&D Insurance
  • Paid Time off (PTO) and 10 Paid Holidays
  • Paid Parental leave
  • Education Reimbursement and Professional Development
  • Employee discount program and optional insurance offerings:
  • Identity Theft Protection
  • Accident Insurance
  • Voluntary Life (spouse and child)
  • Critical Illness
  • Hospital Indemnity
  • Pet Insurance

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.


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