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Weekend Data Analyst Jobs in Temple, TX (NOW HIRING)

Maintain and manage communication infrastructure for data servers, networking hardware, IP devices ... Perform analysis, diagnosis, and resolution of complex video streaming hardware problems and ...

Data acquisition and control for test stands * Data storage and analysis * Automation of ... Must be available to work extended hours, weekends, and shifts, which vary depending on site ...

Software Engineer

Mcgregor, TX · On-site

$80 - $120/hr

Data acquisition and control for test stands * Data storage and analysis * Automation of ... Must be available to work extended hours, weekends, and shifts, which vary depending on site ...

Data acquisition and control for test stands * Data storage and analysis * Automation of ... Must be available to work extended hours, weekends, and shifts, which vary depending on site ...

... technical data interpretation * Track record of successful analysis, interpretation, and ... Position occasionally requires the ability to work extended hours and weekends when needed

Safety Manager

Waco, TX · On-site

$99 - $121/hr

... cause analysis. * Manages interactions and effectively communicates with all levels of the city ... May be required to respond afterhours, including holidays and weekends, in the event of a ...

Showing results 41-60

Weekend Data Analyst information

See Temple, TX salary details

$31.6K

$76.8K

$126.3K

How much do weekend data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend data analyst in Temple, TX is $76,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,100.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

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

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

What job categories do people searching Weekend Data Analyst jobs in Temple, TX look for?

The top searched job categories for Weekend Data Analyst jobs in Temple, TX are:

What cities near Temple, TX are hiring for Weekend Data Analyst jobs?

Cities near Temple, TX with the most Weekend Data Analyst job openings:

Lead, Aircraft Fatigue and Damage Tolerance Engineer

Harris Geospatial Solutions

Waco, TX • On-site

$140 - $190/hr

Other

Posted 5 days ago


Job description

L3Harris is dedicated to recruiting and developing high‑performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work‑life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission‑critical needs always in mind, our employees deliver end‑to‑end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Lead, Aircraft Fatigue and Damage Tolerance Engineer

Job Code: 40917

Job Location: Waco, TX (Onsite)

Job Schedule: 9/80

Job Description

L3Harris MMG Division is seeking an experienced Aircraft Fatigue and Damage Tolerance Engineer for our onsite aircraft modification facility located in Waco, TX. We offer competitive benefits and a generous relocation package for those who qualify.

The Aircraft Fatigue and Damage Tolerance Engineer will be responsible for performing structural fatigue and damage tolerance analysis of aircraft modifications, including design support, and preparation of technical documentation necessary to ensure airworthiness. This includes identification of critical load paths in primary aircraft structure resulting from applied and induced operational loads, as well as the determination of local stress concentrations, internal fastener load distributions, operational usage environments and design allowables. Additional responsibilities include development of tailored mission profiles and usage spectra for modified aircraft for use in calculation of service life.

Essential Functions
  • Fatigue analysis of aircraft structures.
  • Crack growth analysis of aircraft structures.
  • Development of specific mission profiles and usage spectrum for modified aircraft.
  • Determination of inspection intervals for delivered aircraft.
  • Design support and drawing review.
  • Ability to generate free body diagrams, determine reaction forces, calculate internal load distributions, local stress concentrations, and operational usage environments.
  • Willingness and ability to travel as necessary.
  • Ability to obtain and maintain a Secret security clearance.
  • Willingness and ability to work any shift, weekends, and overtime as required.
  • Willingness to mentor less experienced engineers.
  • Effective and demonstrated leadership qualities.
Qualifications
  • Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, Civil Engineering and minimum 9 years of prior relevant experience. Graduate Degree (MSME, MSAE) and a minimum of 7 years of prior aircraft structural dynamics related experience. In lieu of a degree, minimum of 13 years of prior related experience.
  • Must be a US citizen.
Preferred Additional Skills
  • Active security clearance.
  • Experience with predicting crack initiation lives and running industry‑standard crack growth programs; e.g., AFGROW, NASGRO.
  • Working knowledge of one programming language.
  • Working knowledge of both military (Mil Standard) and civilian (14 CFRs) certification regulations and generating substantiation data to demonstrate compliance.
  • Working knowledge on how to develop the Airworthiness Limitations section of the Instructions for Continued Airworthiness for a structural modification.
  • Experience with standard Nondestructive Inspection (NDI) methods and corresponding crack growth detectable flaw sizes.
  • Experience with Dynamic Response Fatigue Analysis (High‑Cycle Fatigue) due to high vibration environments and/or acoustic fatigue stresses.
  • CAD or analysis (FEA) tools exposure, and/or experience in mechanical design or analysis structures and mechanisms.
  • Familiarity with transducer instrumentation, data collection and or automation and software programming for numerical analysis.
  • Proficient in Microsoft Office, and have general computer knowledge.
  • Excellent verbal and written communication skills.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug‑free workplace and performs pre‑employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E‑Verify Employer.

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