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Interview Jobs in Texas (NOW HIRING)

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Interview information

See Texas salary details

$39

$52

$78

How much do interview jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for interview in Texas is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $57.12 per hour, depending on experience, location, and employer.

What are the 5 types of job interviews?

The five common types of job interviews are structured interviews, unstructured interviews, behavioral interviews, technical interviews, and panel interviews. Each type assesses different skills and qualities, with behavioral interviews focusing on past experiences and technical interviews testing specific job-related skills. Preparing for these varied formats can improve a candidate's chances of success in the hiring process.

What job makes $10,000 a month without a degree?

High-paying roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers can earn $10,000 or more monthly without a college degree, often requiring experience, certifications, or licensing. Success in these fields depends on skills, networking, and performance rather than formal education.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, and significant experience, and may involve high-stakes environments or freelance consulting in fields like finance or technology.

What are interviewers?

Interviewers are professionals responsible for conducting interviews with job candidates, clients, or other individuals to assess their qualifications, skills, or opinions. Their main role is to ask relevant questions, evaluate responses, and determine whether the individual is a good fit for a position or purpose. Interviewers may work in various fields such as human resources, journalism, market research, or academic admissions. They help organizations make informed decisions by collecting and analyzing information from interviewees.

What are the key skills and qualifications needed to thrive as an Interviewer, and why are they important?

To thrive as an Interviewer, you need strong communication skills, active listening, and the ability to assess candidates objectively, typically supported by experience in human resources or recruiting. Familiarity with applicant tracking systems (ATS), video conferencing platforms, and structured interview frameworks is often required. Empathy, professionalism, and critical thinking help Interviewers build rapport with candidates and evaluate responses effectively. These skills ensure fair, insightful hiring decisions and a positive candidate experience.

What is the 30-60-90 rule in an interview?

The 30-60-90 rule in an interview is a plan for new employees to achieve specific goals within their first 30, 60, and 90 days on the job. It helps employers and candidates set clear expectations for learning, performance, and integration into the team, often used in onboarding and performance planning. For interview preparation, understanding this framework demonstrates goal-setting and strategic thinking skills relevant to many roles.

What are some common challenges faced by interviewers when conducting job interviews, and how can they be addressed?

Interviewers often face challenges such as unconscious bias, managing time effectively during interviews, and ensuring consistency across candidate assessments. To address these, it's important to use standardized interview questions and structured evaluation forms, which help create a fair and objective process. Additionally, interviewers can benefit from training on diversity and inclusion, as well as practicing active listening to better evaluate each candidate's responses. Collaborating with other team members to calibrate expectations and feedback also helps ensure a balanced and informed hiring decision.

What is the difference between Interview vs Recruiter?

AspectInterviewRecruiter
Primary RoleCandidate assessment and selectionTalent sourcing and candidate screening
Required CredentialsInterviewing skills, industry knowledgeHR or recruiting certifications often preferred
Work EnvironmentConducted in company offices or virtual settingsWork in HR or staffing agencies, often coordinating multiple candidates
Industry UsagePart of the hiring process within companiesRecruitment agencies, HR departments, staffing firms

While an interview involves evaluating candidates for a position, a recruiter focuses on sourcing, screening, and coordinating candidates throughout the hiring process. Both roles are essential in recruitment but serve different functions within the hiring ecosystem.

What are the most commonly searched types of Interview jobs in Texas? The most popular types of Interview jobs in Texas are:
What cities in Texas are hiring for Interview jobs? Cities in Texas with the most Interview job openings:

Business Data Analyst - Onsite, In Person Interview - Locals to TX

MSYS Inc.

Austin, TX

Other

Posted 4 days ago


Job description

Title:Business Data Analyst - Onsite, In Person Interview - Locals to TX
Location:Austin,TX
Length:Long term
Restriction:w2 or c2c
 
 
 
 
Description:

***Mode of Interview : In-person Interview (Face to Face Interview)*** Very long term project ***Onsite (5days per week onsite )Austin-TX ***Need 3 Professional references*** Local to TX Candidates only ***

Job Description

The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They able to look at large chunks of data and understand trends, and then communicate those trends to the company.

Level Description

  • 10 or more years of experience
  • Relies on experience and judgment to plan and accomplish goals
  • Independently performs a variety of complicated tasks
  • A wide degree of creativity and latitude is expected

Overview

The Worker will serve as a technical lead and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.

Responsibilities

Strategic Liaison and Translation

  • Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
  • Lead as technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts.
  • Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
  • Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
  • Explain technical findings and data limitations in simple, non-technical language to end-users.

AI Prompting and Data Synthesis

  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
  • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
  • Develop a library of standardized prompts and query templates for common reporting needs.

Data Reporting and Visualization

  • Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
  • Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.

Data Literacy and Training

  • Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
  • Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
  • Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.

Collaboration and Problem-Solving

  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
  • Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.

Skills/Requirements:

  • Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources Required 10
  • Experience explaining technical findings and data limitations in simple, non-technical language to end-users. Required 10
  • Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role. Required 10
  • Strong experience with SQL for data extraction and manipulation. Required 10
  • Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting. Required 10
  • Excellent communication, presentation, and interpersonal skills. Required 10
  • Experience with data visualization tools such as Power BI and/or Tableau. Required 10
  • Experience leading as a technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and project artifacts Preferred 5
  • Experience with Business Intelligence/Data Warehouse Preferred 5
  • Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting. Preferred 5
  • Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements. Preferred 5
  • Experience with data governance and data quality principles Preferred 5
  • Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff. Preferred 2
  • Experience training and mentoring staff with varying levels of data literacy. Preferred 2
  • Experience with creating AI prompt catalogs using tools such as Streamlit with Python. Preferred 1
  • Experience applying responsible AI practices and compliance with agency standards. Preferred 1