ZipRecruiter

Log In

1

After Query Jobs in Texas (NOW HIRING)

Prolim Global

Business Intelligence Analyst

Austin, TX · On-site

... after all other levels have been exhausted. The Specialist position is considered an expert ... query strategies to retrieve and synthesize data accurately from complex datasets. o Guide non ...

US Heart & Vascular

Medical Assistant (2822)

Houston, TX

$16 - $20.50/hr

Runs "missed appointment" query to identify patients that need to be rescheduled on a weekly basis ... Charging equipment after each clinic. Notify the clinical manager if equipment is malfunctioning.

US Heart & Vascular

Medical Assistant (2795)

Houston, TX

$16 - $20.50/hr

Runs "missed appointment" query to identify patients that need to be rescheduled on a weekly basis ... Charging equipment after each clinic. Notify the clinical manager if equipment is malfunctioning.

Esolvit Inc

Database Developer

Austin, TX · On-site

... Query 6Management Facility (QMF) or Teradata Data assistance. 6 Years of experience creating ... in after-hours oncall systems support. Preferred Skills: 2 Years of experience working with ...

next page

Showing results 1-20

All JobsAfter Query JobsAfter Query Jobs in Texas

After Query information

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

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

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

How does AfterQuery work?

AfterQuery is a process used in data analysis and search systems to refine or filter results after an initial query. It often involves applying additional criteria or transformations to improve accuracy or relevance, typically using tools like SQL, scripting, or specialized software. This step helps ensure the final output meets specific requirements or standards.

What are some common challenges faced by professionals in After Query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What are After Query jobs?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

Which 3 jobs will survive AI?

Jobs in healthcare, such as nurses and physicians, are likely to persist due to the need for human judgment and empathy. Skilled trades like electricians and plumbers will also remain in demand because they require physical work and problem-solving skills that are difficult for AI to replicate. Additionally, roles in education and mental health, including teachers and therapists, will continue to be essential for human interaction and personalized support.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, cloud computing, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or equity compensation.
What are popular job titles related to After Query jobs in Texas? For After Query jobs in Texas, the most frequently searched job titles are:
What job categories do people searching After Query jobs in Texas look for? The top searched job categories for After Query jobs in Texas are:
After Query jobs near you
Infographic showing various After Query job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Business Intelligence Analyst Specialist (Onsite)

Business Intelligence Analyst Specialist (Onsite)

Serigor, Inc.

Austin, TX • On-site

Full-time

Re-posted 3 days ago

Job description

Job Title: Business Intelligence Analyst Specialist (Onsite)
Location: Austin, TX
Duration: 12 Month with possible extension
Job Description:
This development effort will utilize an agile methodology based upon the approach currently in use at the Client for the Performance Management & Analytics System (PMAS).
As a senior analyst and tester on the agile development team, the worker responsibilities may include:
  • 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.
  • The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating to test plans, test scenarios and test cases for a full requirements traceability matrix.
  • The worker will facilitate integration of technical data sources across the Client.
  • This role empowers the Client 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 the Client 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:
  • Requirements and Testing
    • Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
    • Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
    • 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 the Client 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.

Candidate Skills and Qualifications:
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
10
Required
Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
10
Required
Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
10
Required
Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
10
Required
Strong experience with SQL for data extraction and manipulation.
10
Required
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.
10
Required
Excellent communication, presentation, and interpersonal skills.
10
Required
Experience with data visualization tools such as Power BI and/or Tableau.
5
Preferred
Experience with Business Intelligence/Data Warehouse
5
Preferred
Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
5
Preferred
Experience with data governance and data quality principles
2
Preferred
Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
2
Preferred
Experience training and mentoring staff with varying levels of data literacy.
1
Preferred
Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
1
Preferred
Experience applying responsible AI practices and compliance with agency standards.

Apply