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Part Time Data Analyst Jobs in Katy, TX (NOW HIRING)

Bechtel

DSCS Data Analyst

Houston, TX · On-site

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... The DSCS Data Analyst supports Digital Supply Chain Systems (DSCS) initiatives by helping collect ...

Bechtel

DSCS Data Analyst

Houston, TX · On-site

Telework Type: Part-Time Telework * Work Location: Houston, TX Extraordinary teams building ... The DSCS Data Analyst supports Digital Supply Chain Systems (DSCS) initiatives by helping collect ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

ExxonMobil

Endur (ETRM) Functional Analyst

Spring, TX · On-site

Ensure data integrity across Endur and integrated systems * Support reporting solutions including ... and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health:

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Katy, TX

Part Time Data Analyst information

See Katy, TX salary details

$31.2K

$75.8K

$124.8K

How much do part time data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for part time data analyst in Katy, TX is $75,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $89,000.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Katy, TX?

The most popular types of Data Analyst jobs in Katy, TX are:

What are popular job titles related to Part Time Data Analyst jobs in Katy, TX?

For Part Time Data Analyst jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Katy, TX look for?

The top searched job categories for Part Time Data Analyst jobs in Katy, TX are:

What cities near Katy, TX are hiring for Part Time Data Analyst jobs?

Cities near Katy, TX with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Katy, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $75,821 per year, or $36.5 per hour.

DSCS Data Analyst

Bechtel

Houston, TX • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

Bechtel rating

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

284th of 452 rated engineering

Job description

Requisition ID: 298570
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Houston, TX

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The DSCS Data Analyst supports Digital Supply Chain Systems (DSCS) initiatives by helping collect, analyze, and visualize data that supports Engineering, Procurement, Supply Chain, Logistics, and Construction functions. This role assists with maintaining data quality, developing dashboards and reports, monitoring key performance metrics, and supporting digital supply chain tools. Working closely with senior analysts and business stakeholders, the position contributes to improved project visibility, operational efficiency, and data-driven decision-making.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-CS1
Major Responsibilities:
  • Analyze and validate data from enterprise systems and digital supply chain applications.
  • Develop and maintain standard reports, dashboards, and KPI metrics using reporting and visualization tools.
  • Support data quality, data governance, and continuous improvement initiatives.
  • Assist with monitoring supply chain performance metrics including material readiness, inventory, logistics, procurement, and project execution performance.
  • Support testing, user acceptance validation, and rollout activities for system enhancements and digital tools.
  • Collaborate with Engineering, Procurement, Logistics, Construction, and IT teams to gather requirements and provide reporting support.
  • Prepare analytical summaries and visual reports that communicate business insights to stakeholders.
  • Help identify trends, discrepancies, and improvement opportunities within operational data.
  • Contribute to process documentation, reporting standards, and best practices across the organization.

Education and Experience Requirements:
  • 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 chain operations, project controls, or a related discipline.
  • Strong analytical, organizational, and problem-solving abilities.
  • Proficiency with Microsoft Excel.
  • Ability to work effectively in a collaborative team environment. Preferred Qualifications
  • Experience with Power BI, Tableau, or similar business intelligence and data visualization tools.
  • Basic knowledge of SQL, Power Query, or Power Pivot.
  • Exposure to enterprise systems such as Oracle EBS, TeamWorks, SiteSense, ETA, MAP, Unifier, or similar platforms.
  • Understanding of procurement, materials management, logistics, or supply chain business processes.
  • Interest in digital transformation, automation, AI-enabled analytics, and reporting technologies.

Required Knowledge and Skills:
  • Data analysis and reporting fundamentals.
  • Ability to collect, cleanse, validate, and interpret data.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to create dashboards, charts, and KPI reports that communicate business performance clearly.
  • Understanding of visualization best practices and data storytelling concepts.
  • Ability to transform complex datasets into actionable insights for technical and non-technical audiences.
  • Experience maintaining recurring reports and dashboard content.
  • Strong written and verbal communication skills.
  • Ability to present findings in a clear and concise manner.
  • Effective collaboration across functional organizations and project teams.
  • Curiosity to investigate data issues and identify root causes.
  • Ability to recognize opportunities for process improvement and reporting automation.
  • Willingness to learn new technologies, systems, and business processes.
  • Strong organizational and time management skills.
  • Self-motivated with a continuous learning mindset.
  • Ability to adapt to changing priorities and business needs.
  • Customer-focused approach to supporting project and operational teams.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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