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Data Insight Jobs in Texas (NOW HIRING)

eSkill

Data Analyst

San Antonio, TX

$70K - $83K/yr

We support better hiring decisions through data, insights, and tools that help teams make more informed choices. This role is in-office at our downtown San Antonio location. Responsibilities * Build ...

eSkill

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

We support better hiring decisions through data, insights, and tools that help teams make more informed choices. This role is in-office at our downtown San Antonio location. Responsibilities * Build ...

System One

Business Data Analyst

Plano, TX · On-site

$42/hr

Take ownership of data analysis within your designated project scopes, delivering clear, accurate, and impactful insights in line with project requirements and deadlines. * Work directly with ...

PROLIM Global Corporation

Data Scientist

Plano, TX · On-site

Ability to translate complex data insights into clear business strategies Role Descriptions: Core Roles and ResponsibilitiesData Collection and Preparation Gathering unstructured and structured data ...

Copart, Inc.

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop and automate data processing systems leveraging DBT to deliver data insights at an enterprise scale. * Design and implement workflow orchestration using Airflow / Cloud Composer for seamless ...

Kpler

Insight Sales Specialist

Houston, TX · On-site

$129K - $151K/yr

Through a range of report formats, Insight delivers data-driven perspectives, outlooks, and narratives that help users understand market dynamics, anticipate trends, and support strategic decision ...

McLane Company

Data Scientist - MBIS

Temple, TX · Hybrid

Coordinate with data engineering team to scale and deploy models and their related data pipelines ... Develop and implement analytics-enabled solutions to improve business process, generate insights ...

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Data Insight information

What is the difference between Data Insight vs Data Analyst?

AspectData InsightData Analyst
Required CredentialsTypically a degree in data science, analytics, or related fields; certifications like Tableau, Power BIOften a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or analytics tools
Work EnvironmentCollaborates with business teams to provide strategic insights; may work in tech, finance, marketingAnalyzes data sets, prepares reports, and visualizations; works across various industries
Employer & Industry UsageUsed by companies seeking actionable insights for decision-makingEmployed in diverse sectors for data analysis and reporting

Data Insight professionals focus on deriving strategic insights from data to inform business decisions, often working closely with stakeholders. Data Analysts primarily analyze data sets, create reports, and visualize data to support operational and strategic needs. While both roles require analytical skills and familiarity with data tools, Data Insights roles tend to emphasize strategic thinking and business impact, whereas Data Analysts focus on data processing and reporting.

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

To thrive as a Data Insight professional, you need strong analytical skills, statistical knowledge, and a background in data science or a related field. Proficiency in data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with relevant certifications, is typically required. Exceptional problem-solving abilities, business acumen, and effective communication skills help translate complex data into actionable insights. These capabilities are critical for driving data-driven decisions and generating measurable business value.

What is a data insight professional?

Data Insight professionals are experts who analyze and interpret data to uncover valuable trends, patterns, and actionable information that help organizations make informed decisions. They use various analytical tools and techniques to transform raw data into meaningful insights that can drive business strategies, optimize operations, and solve complex problems. Their work typically involves collecting, cleaning, and processing data, as well as presenting findings to stakeholders in a clear and impactful way.

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

Data Insight professionals frequently work cross-functionally, partnering with teams such as marketing, product, finance, and operations to translate raw data into actionable business strategies. They often participate in meetings to understand stakeholder goals, gather requirements, and present their findings through clear reports or visualizations. Effective communication and the ability to tailor insights for non-technical audiences are crucial, as these professionals help bridge the gap between data analysis and strategic decision-making across the company.

What are popular job titles related to Data Insight jobs in Texas?

For Data Insight jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Insight jobs in Texas look for?

The top searched job categories for Data Insight jobs in Texas are:

Data Insight jobs near you
Infographic showing various Data Insight job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist Strategic Data Intelligence

Houston Independent School District

Houston, TX • On-site

Full-time

Re-posted 2 days ago

Houston Independent School District rating

5.4

Company rating: 5.4 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

527th of 631 rated elementary and secondary schools

Job description


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Job Description
The Senior Data Scientist - Strategic Data Intelligence leads advanced analytics initiatives that inform strategic planning, equity initiatives, forecasting, and resource allocation across both instructional and operational domains. This role builds predictive models, simulations, and complex analyses using data from student systems (SIS, LMS, SPED) and enterprise systems (finance, HR, procurement). The Senior Data Scientist works closely with senior leaders and analysts to deliver evidence-based insights that shape district policies and performance outcomes.
Responsibilities
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Responsibilities
  1. Design and implement predictive models and machine learning algorithms for student outcomes, budgeting, staffing, and resource planning.
  2. Analyze districtwide data to support equity tracking, chronic absenteeism, enrollment forecasting, and SPED identification trends.
  3. Integrate data from Microsoft Fabric, SIS, ERP, and external datasets to answer complex research questions.
  4. Develop simulations and decision support tools to guide executive and board-level planning.
  5. Present findings using compelling visuals and narratives tailored to non-technical audiences.
  6. Partner with academics, operations, and finance to align data insights with real-world decisions.
  7. Maintain reproducible research workflows and ensure compliance with data governance policies.
  8. Collaborate with data architects and engineers to ensure model-ready datasets are accurate and current.
  9. Mentor analysts and support the expansion of data fluency across departments.
  10. Other duties as assigned.

Qualifications
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Job Qualifications
EDUCATION
A Master's degree in data science, statistics, applied mathematics, economics, or a related field is preferred. Alternatively, a Bachelor's degree plus relevant work experience is acceptable. Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role.
WORK EXPERIENCE
Minimum of 6 years in data science, research, or applied analytics roles. Experience in public education, government, or nonprofit analytics preferred.
TYPE OF SKILL AND/OR REQUIRED LICENSING/CERTIFICATION
Software Certifications/Licensure Equipment Other Items Expert proficiency in Python, R, SQL, and Power BI Strong statistical and machine learning skills (e.g., regression, classification, time series, clustering) Familiarity with education data structures and public sector decision-making Data storytelling and visualization expertise
LEADERSHIP RESPONSIBILITIES
-Serves as senior technical leader within the Data Intelligence Office. May lead projects and mentor junior analysts.
WORK COMPLEXITY/INDEPENDENT JUDGMENT
-Manages high-impact modeling projects with districtwide consequences. Applies independent professional judgment to determine methods and interpret results.
BUDGET AUTHORITY
-None. May advise on data tools, modeling platforms, and external datasets.
PROBLEM SOLVING
-Translates strategic questions into analytical models. Identifies data issues and proposes data-informed solutions.
IMPACT OF DECISIONS
-Models influence district investment decisions, student support strategies, and strategic planning efforts.
COMMUNICATION/INTERACTIONS
-Collaborates with department leads, executive staff, and board advisors. Presents findings to senior leadership and external partners.
CUSTOMER RELATIONSHIPS
-Provides critical insight and foresight to HISD leadership teams. Builds stakeholder trust through actionable, validated analytics.
WORKING/ENVIRONMENTAL CONDITIONS
-Office environment. May work extended hours during major board cycles or forecasting updates, hybrid setting available.

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