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Data Analytics Jobs in Porter, TX (NOW HIRING)

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 ...

Minimum five (5) years of experience in data analytics preferably in healthcare or process improvement * Minimum three (3) years of professional experience collaborating with customers on the design ...

Senior Data Analyst

Houston, TX ยท On-site

$50 - $53/hr

Leverage scripting skills in Python or R to enhance data processing, analytics, and visualization when needed. Education Requirements * Minimum: Bachelor's degree in Computer Science, Information ...

Bachelor's degree in Supply Chain, Business, Data Analytics, Information Systems, Engineering, Computer Science, or a related field. * 0-3 years of experience in data analysis, reporting, supply ...

Analytics Engineer

Houston, TX ยท On-site

$99K - $118K/yr

Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing ...

Analytics Engineer

Houston, TX ยท On-site

$99K - $118K/yr

J ob Summary The Data & Analytics team builds the reporting and data infrastructure that supports company-wide decision-making. The Analytics Engineer will own the layer between raw data and finished ...

Analytics Engineer

Houston, TX ยท On-site

$110 - $150/hr

The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL ... Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension ...

Showing results 41-60

Data Analytics information

See Porter, TX salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics in Porter, TX is $49.70, according to ZipRecruiter salary data. Most workers in this role earn between $39.95 and $56.30 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are popular job titles related to Data Analytics jobs in Porter, TX?

For Data Analytics jobs in Porter, TX, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Porter, TX look for?

The top searched job categories for Data Analytics jobs in Porter, TX are:

What cities near Porter, TX are hiring for Data Analytics jobs?

Cities near Porter, TX with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Porter, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $103,376 per year, or $49.7 per hour.

Data Analyst

Panelmatic

Houston, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Design and develop interactive dashboards, scorecards, and enterprise reports in Microsoft Power BI to provide visibility into key business metrics.

  • Build and optimize semantic models, datasets, and scalable data models using star schema and dimensional modeling techniques.

  • Collaborate with stakeholders to define KPIs, metrics, reporting requirements, and governance standards.


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