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Data Reporting Jobs in Texas (NOW HIRING)

ClifyX

Data Analysis And Reporting

Austin, TX · On-site

... engineer data features for analytics and modeling. • Build and maintain insightful Tableau dashboards and reports to communicate findings effectively. • Maintain business glossary, data ...

Dynamic Support Solutions

Data Entry Clerk

Irving, TX · On-site

$15 - $19/hr

Hourly Reports To: PEIMS Coordinator Location: Irving, TX What to Expect You will be responsible for accurately entering, updating, and maintaining sensitive data using internal and external ...

New

Heidelbergmaterials

Master Data Manager

Irving, TX · Hybrid

$136K - $181K/yr

Define, monitor, and improve the quality and completeness of master and transactional data, reporting on adherence and exceptions. * Lead and mentor highperforming data management teams to ensure ...

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All JobsData Reporting JobsData Reporting Jobs in Texas

Data Reporting information

See Texas salary details

$9

$33

$61

How much do data reporting jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data reporting in Texas is $33.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.99 and $42.70 per hour, depending on experience, location, and employer.

What is data reporting?

Data reporting is the process of collecting, organizing, and presenting data in a structured format, such as charts, tables, or dashboards, to communicate key information and insights. Professionals in data reporting analyze raw data, identify trends, and create reports that help organizations make informed decisions. Their work often involves using specialized software tools to generate reports that are accurate, timely, and tailored to the needs of stakeholders.

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

To thrive as a Data Reporting professional, you need strong analytical skills, attention to detail, and proficiency in data interpretation, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), advanced Excel functions, and knowledge of SQL or similar database systems are typically required. Excellent communication, problem-solving, and time management skills help you convey insights clearly and meet deadlines. These competencies are essential for transforming raw data into actionable information that supports organizational decision-making.

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

Professionals in Data Reporting often encounter challenges such as ensuring data accuracy, meeting tight deadlines, and communicating complex findings to non-technical stakeholders. Addressing these challenges typically involves establishing robust data validation processes, prioritizing tasks based on reporting deadlines, and developing strong data visualization and storytelling skills. Collaborating closely with data analysts, IT teams, and business units also helps ensure that reports are both accurate and actionable.

What is the difference between Data Reporting vs Data Analysis?

AspectData ReportingData Analysis
Primary FocusPresenting data in reports and dashboardsInterpreting data to find insights
Skills RequiredData visualization, reporting tools, basic SQLStatistical analysis, data mining, critical thinking
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
CertificationsExcel, Tableau, Power BISQL, Python, R certifications

While Data Reporting focuses on creating clear, accessible reports for decision-makers, Data Analysis involves exploring data to uncover trends and insights. Both roles require familiarity with data tools, but Data Analysis demands deeper statistical and analytical skills. Organizations often use both roles together to support data-driven decision-making.

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

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

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

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

What cities in Texas are hiring for Data Reporting jobs?

Cities in Texas with the most Data Reporting job openings:

Data Reporting jobs near you
Infographic showing various Data Reporting job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $70,132 per year, or $33.7 per hour.

Sr Manager Data Products, Analytics & Ai/ML

Aven Hospitality

Fort Worth, TX • On-site

Full-time

Medical, Dental, PTO

Re-posted 12 days ago

Job description

Aven Hospitality is an innovative technology provider powered by SynXis®, the leading global hospitality commerce and distribution platform. We empower hoteliers around the world to exceed expectations, solve daily challenges, and stay ahead of the competition.
With our comprehensive portfolio of solutions, hoteliers can manage distribution, retailing, payments, operations, and more. Providing hoteliers the tools to maximize revenue, improve operational efficiency, and deliver personalized guest experiences that drive satisfaction.
Our tools are built to seamlessly integrate with each hotelier's unique strategy, elevating guest satisfaction and creating meaningful connections.
We are pioneering AI in hospitality technology to unlock new opportunities, drive efficiency, and personalize the guest experience. By prioritizing stability, scalability, and data-driven insights, we equip hoteliers to adapt and thrive in an ever-changing landscape, ready for whatever comes next..
Sr. Manager, Data Products, Analytics & AI/ML
Role Summary
  • This Senior Manager role drives the product strategy, roadmap, and execution for Aven Hospitality's Data, Reporting, Analytics, and AI/ML capabilities. The role partners with Product, Engineering, Innovation, and Data teams to help evolve a trusted and scalable analytics ecosystem, modernize operational reporting into a system of record, and advance analytics from dashboards into decision-driving, predictive, and AI/ML-assisted products.

  • A core mandate is to increase customer adoption and business value while identifying opportunities to monetize analytics, insights, and data-driven capabilities across the Aven platform. The role works closely with Commercial, Customer Success, and Product leaders to understand customer needs, validate opportunities, and deliver impactful analytics experiences that support measurable business outcomes.

  • Success in this role requires a strong understanding of modern data platforms, analytics products, business intelligence tooling, and emerging AI/ML capabilities. The ideal candidate combines product management expertise with technical fluency and can translate complex data and analytics concepts into compelling customer value propositions and business results.

  • The role is responsible for defining success metrics, measuring adoption and business outcomes, evaluating analytics platform and BI tooling investments, and helping guide analytics and AI/ML initiatives that improve customer experiences, drive platform adoption, and create long-term business value.

Portfolio
  • Operational Reporting: Modernize and scale reporting to improve reliability, performance, and flexibility-establishing reporting as the operational system of record.

  • Analytics & Insights: Evolve dashboards into actionable insights, diagnostics, benchmarking, forecasting, and guided decision-making.

  • AI/ML-Assisted Analytics: Introduce AI/ML-assisted, predictive, generative AI/ML, conversational, and natural-language analytics capabilities to accelerate insight discovery, automate high-frequency questions, and improve decision-making.

  • Data Platform & BI Strategy: Shape the strategy for data platforms, semantic layers, business intelligence tooling, analytics architecture, and platform modernization to ensure scalability, usability, governance, and long-term business value.

  • Data Governance, Security & Compliance: Partner across teams to improve data quality, governance, privacy, security, and compliance capabilities that enable trusted analytics and responsible AI/ML innovation.

Responsibilities
  • Define and drive the product roadmap for Data, Reporting, Analytics, and AI/ML capabilities.

  • Improve the usability of operational reporting to reduce failures, manual workarounds, support costs, and customer friction.

  • Drive self-service analytics by improving how customers access, analyze, personalize, visualize, and export data across the platform.

  • Establish clear separation between operational reporting, analytics, and insights-reducing over-reliance on reporting as a data extraction tool.

  • Define and validate priority analytics and AI/ML use cases to guide product, data, and platform investment decisions.

  • Develop and execute data and analytics monetization strategies, including premium reporting, benchmarking, diagnostics, recommendations, and AI/ML-driven insights.

  • Use analytics and AI/ML intentionally to increase adoption and usage of Aven products by helping customers optimize configuration, pricing, distribution, operations, and performance decisions.

  • Partner with Engineering, Innovation, UX, and Commercial teams to deliver scalable, differentiated, and monetizable analytics capabilities.

  • Evaluate and recommend data, analytics, reporting, business intelligence, and AI/ML technologies to ensure Aven's platform remains competitive, scalable, and aligned to customer needs.

  • Partner across teams to help shape the long-term direction for analytics, self-service reporting, business intelligence, data products, and AI/ML-powered insights, balancing customer demand, technical investment, and commercial opportunities.

  • Partner with Product Development and Architecture teams to influence data models, semantic layers, governance standards, platform modernization efforts, and future analytics capabilities.

  • Monitor industry trends and emerging technologies across data platforms, business intelligence, analytics, AI/ML, and Gen-AI/ML to identify opportunities for innovation and product differentiation.

  • Develop product requirements for AI/ML-assisted workflows, conversational analytics, anomaly detection, recommendations, forecasting, intelligent automation, and other insight-driven capabilities.

  • Define adoption, engagement, monetization, and customer outcome metrics and use those measures to prioritize future investments.

  • Partner with Engineering and Architecture teams to support modernization of Aven's analytics and data platform ecosystem, ensuring readiness for future AI/ML and advanced analytics use cases.

  • Collaborate with Security, Privacy, and Engineering teams to ensure analytics and AI/ML capabilities align with data governance, compliance, and responsible AI/ML principles.

  • Drive analytics and AI/ML capabilities that increase adoption, retention, and customer value across CRS, Booking Engine, Digital Marketing, Payments, Revenue Optimization, and future platform products.

What Success Looks Like
  • Operational reporting is reliable, scalable, and trusted as the system of record.

  • Self-service analytics adoption increases while manual exports and reliance on external tools decline.

  • Analytics, benchmarking, and AI/ML-powered insights generate incremental revenue and improve customer retention.

  • Insights demonstrably influence customer decisions and increase adoption of Aven products and services.

  • A scalable and modern data platform supports rapid delivery of analytics, AI/ML-assisted experiences, and future innovations.

  • Customers view Aven's analytics capabilities as a differentiated reason to select, expand, and retain the platform.

  • Technology investments in BI, analytics, and AI/ML demonstrably improve customer outcomes, product adoption, and business performance.

  • Analytics and AI/ML capabilities increase the adoption of CRS, Booking Engine, Payments, Digital Marketing, and other strategic platform products.

  • Data governance, quality, privacy, and compliance capabilities enable trusted and scalable analytics across the platform.

Ideal Background
  • 8-12 years of experience in Product Management, Analytics, Data Platforms, Business Intelligence, or AI/ML-enabled products.

  • Proven success building, modernizing, or scaling analytics, reporting, data platform, or business intelligence products in B2B SaaS environments.

  • Experience owning complex cross-functional initiatives involving Product, Engineering, Data, UX, and Commercial stakeholders.

  • Demonstrated success monetizing analytics, data-driven products, or premium insight offerings.

  • Strong understanding of data foundations, cloud data platforms, analytics architectures, semantic layers, and modern business intelligence ecosystems.

  • Experience with technologies such as Snowflake, Databricks, Looker, Tableau, Power BI, Sigma, Databuildtool, and Microsoft Fabric

  • Proven ability to evaluate and influence analytics platform, BI tooling, and AI/ML investment decisions.

  • Experience defining and delivering AI/ML-assisted or data-driven product experiences, including conversational analytics, recommendations, forecasting, or predictive insights.

  • Strong product management fundamentals, including customer discovery, roadmap development, prioritization, business case development, and go-to-market execution.

  • Track record of improving usability, self-service adoption, customer engagement, and measurable business outcomes.

  • Ability to communicate effectively with technical teams, executive stakeholders, customers, and prospects.

  • Experience building or managing analytics, data platforms, business intelligence, or AI/ML-enabled products used by enterprise customers.

Outstanding Benefits
  • Very competitive compensation
  • Generous Paid Time Off (25 PTO days)
  • 8 Hours of Volunteer Time Off (VTO)
  • We offer a comprehensive medical, dental and Wellness Program
  • 12 weeks paid parental leave
  • An infrastructure that allows flexible working arrangements
  • Formal and informal reward, recognition and acknowledgement programs
  • Lots of fun and engaging employee development events

Reasonable Accommodation
Aven Hospitality is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Aven Hospitality position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Aven Hospitality at Contact Us
Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Affirmative Action
Aven Hospitality is an equal employment opportunity/affirmative action employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW
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