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Data Analysis Assistant Jobs in Spring, TX (NOW HIRING)

Panelmatic

Data Analyst

Houston, TX · On-site

... * Assist with enterprise data strategy, analytics modernization, and broader cloud data ... Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

McDaniel Metals LLC

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

Key Responsibilities 1. KPI Reporting & Data Analysis * Develop, maintain, and report quality KPIs ... Occasionally assist quality inspectors to understand processes and data sources * Validate data ...

Hays Electrical Services

Data Analyst I

Houston, TX · On-site

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Follow documented SOPs for recurring data processes and assist in creating repository documentation ...

TRC Companies, Inc.

Data Analyst - Entry Level

Houston, TX · On-site

$16 - $25/hr

... analysis. This role requires a high degree of integrity, diligence, and care as accurate and ... Process routine invoices and payments. * Assist with compliance tracking and reporting. * Support ...

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All JobsData Analysis JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Spring, TX

Data Analysis Assistant information

See Spring, TX salary details

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How much do data analysis assistant jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data analysis assistant in Spring, TX is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.04 per hour, depending on experience, location, and employer.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

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

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a Data Analysis Assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Spring, TX? The most popular types of Data Analysis jobs in Spring, TX are:
What job categories do people searching Data Analysis Assistant jobs in Spring, TX look for? The top searched job categories for Data Analysis Assistant jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analysis Assistant jobs? Cities near Spring, TX with the most Data Analysis Assistant job openings:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Spring, TX as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $35,266 per year, or $17 per hour.
Data Analyst

Data Analyst

Panelmatic

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

About Us:

Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and build of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the data center, chemical, food & beverage, pulp & paper, material handling, oil & gas, pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use worldwide. Our rigorous methodology ensures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery.

Since 1957, we have been known for our high-quality, control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently.

Job Summary:

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization, and project execution metrics.

This role partners closely with Finance, Operations, Sales, and project teams to define metrics, standardize reporting, build dashboards, and surface actionable insights that improve execution and business performance.

Job Duties:

  • Design and develop interactive dashboards, scorecards, and enterprise reports in Microsoft Power BI to provide visibility into revenue, backlog, margin, labor utilization, and project execution metrics.
  • Build and optimize semantic models, datasets, and scalable data models using star schema and dimensional modeling techniques.
  • Develop advanced calculations, measures, and business logic using DAX to support standardized KPI reporting and decision-making.
  • Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines, and cloud-based enterprise reporting capabilities.
  • Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to integrate and prepare data from ERP, MES, CRM, financial, operational, and manufacturing systems.
  • Collaborate with Finance, Operations, Sales, and other business stakeholders to define KPIs, metrics, reporting requirements, and governance standards.
  • Establish and maintain reporting governance, data quality standards, documentation, security models, row-level security, and data access controls.
  • Monitor report performance, optimize query efficiency, and troubleshoot reporting, refresh, and data integration issues.
  • Support self-service BI initiatives through user enablement, training, and scalable reporting solutions that reduce manual effort and improve adoption.
  • Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business.

Requirements

Minimum Qualifications:

  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered.
  • 3+ years of experience in business intelligence, data analysis, enterprise reporting, or operational analytics.
  • Advanced proficiency in Microsoft Power BI, including dashboard development, semantic models, and enterprise reporting solutions.
  • Strong SQL skills and experience with Power Query for data extraction, transformation, and preparation.
  • Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics.
  • Understanding of scalable data modeling concepts, including star schema and dimensional modeling techniques.
  • Utilize AI/ML techniques and generative AI tools to enhance analytics and automate processes.
  • Experience integrating and validating data from ERP, MES, CRM, financial, operational, or manufacturing systems.
  • Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud data platforms.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities in a fast-paced environment while maintaining accuracy and attention to detail.

Preferred Qualifications:

  • Experience building executive dashboards and operational scorecards in a manufacturing, project-based, or industrial environment.
  • Familiarity with manufacturing, supply chain, operations, finance, and sales analytics.
  • Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.
  • Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred).
  • Familiarity with KPI governance, master data management, and data quality best practices.
  • Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

Benefits

  • Medical, dental, vision, HSA, term life, AD&D, STD, LTD
  • 100% medical premium paid for by Panelmatic for the employee-only level medical coverage
  • 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage (i.e. employee plus child, employee plus spouse, family)
  • 401(k) contributions matched 100% up to 4%
  • Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided
  • PTO and paid holidays provided
  • Career advancement opportunities
  • Competitive wages
  • Family-friendly environment with average employee tenure above five years

Apply