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Hourly Data Analytics Jobs in Grapevine, TX (NOW HIRING)

Us Bank

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$105 - $124/hr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX

$109K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Citi

Data Analytics Lead Engineer

Irving, TX · Hybrid

$125K - $188K/yr

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal ...

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SmartLight Analytics

Senior Data Analyst

Plano, TX · On-site +1

$80K - $101K/yr

To be successful in the role, you will have sound knowledge and experience with healthcare analytics, data mining, and building dashboards to deliver insights, as well as demonstrating the ability to ...

SmartLight Analytics

Senior Data Analyst

Plano, TX · Remote

$88K - $111K/yr

To be successful in the role, you will have sound knowledge and experience with healthcare analytics, data mining, and building dashboards to deliver insights, as well as demonstrating the ability to ...

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How much do hourly data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for hourly data analytics in Grapevine, TX is $50.58, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $57.31 per hour, depending on experience, location, and employer.

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Grapevine, TX?

The most popular types of Data Analytics jobs in Grapevine, TX are:

What cities near Grapevine, TX are hiring for Hourly Data Analytics jobs?

Cities near Grapevine, TX with the most Hourly Data Analytics job openings:

Hourly Data Analytics jobs near you

Data Analytics Administrator

PROLIM Global Corporation

Plano, TX • On-site

Full-time

Re-posted 25 days ago

Key responsibilities

  • Design, develop, and manage integrations using Adobe APIs to automate data collection, enhance reporting capabilities, and enable data flows between Adobe Analytics and other enterprise systems.

  • Lead the development of Analytics data architecture and tagging strategies, and collaborate with web development teams to implement tracking solutions that support business requirements.

  • Establish and enforce data quality standards, conduct regular audits of data collection methods, troubleshoot tagging and data integrity issues, and develop custom reports and dashboards for stakeholders.

Job description

Adobe Analytics Developer
Plano, TX(Onsite)
Contract
Job Overview ::
We are seeking an experienced Data Analytics Administrator with a strong understanding of Analytics architecture and expertise in APIs.
This role is responsible for the implementation| management| and optimization of Adobe Analytics across our digital properties| ensuring data accuracy and actionable insights.
You will play a critical role in developing solutions that integrate Adobe Analytics with other platforms| supporting data-driven decision-making across the organization.
Key Responsibilities :
API Integration Design| develop| and manage integrations using Adobe APIs to automate data collection| enhance reporting capabilities| and enable data flows between Adobe Analytics and other enterprise systems. Architecture Implementation : Lead the development of Analytics data architecture and tagging strategies. Collaborate with web development teams to implement tracking solutions that support business requirements. Data Governance Quality Assurance Establish and enforce data quality standards| conduct regular audits of data collection methods| and troubleshoot tagging and data integrity issues. Custom Reporting Dashboards Develop custom reports| dashboards| and insights using Adobe Workspace and other tools. Ensure key stakeholders have access to relevant metrics for informed decision-making. Documentation Training Create and maintain documentation on analytics implementation| processes| and best practices. Train business users and stakeholders using Adobe Analytics and understanding reports. Stakeholder Collaboration Work closely with marketing| product| and IT teams to understand analytics needs| provide technical
Top 3 Required Skills:
• Analyze existing legacy data systems and understand data structures, dependencies, and quality issues.
• API Integration: Design, develop, and manage integrations using Adobe APIs to automate data collection, enhance reporting capabilities, and enable data flows between Adobe Analytics and other enterprise systems.
• Architecture & Implementation: Lead the development of Analytics data architecture and tagging strategies. Collaborate with web development teams to implement tracking solutions that support business requirements.
• Data Governance & Quality Assurance: Establish and enforce data quality standards, conduct regular audits of data collection methods, and troubleshoot tagging and data integrity issues.
• Custom Reporting & Dashboards: Develop custom reports, dashboards, and insights using Adobe Workspace and other tools. Ensure key stakeholders have access to relevant metrics for informed decision-making.
• Documentation & Training: Create and maintain documentation on analytics implementation, processes, and best practices. Train business users and stakeholders on using Adobe Analytics and understanding reports.
• Stakeholder Collaboration: Work closely with marketing, product, and IT teams to understand analytics needs, provide technical guidance, and support data-driven campaigns and optimizations.
Top 3 Preferred Skills:
Strong understanding of Data Analytics architecture and data layers.
• • Experience with API's and integrating Analytics with other systems.
• • Proficiency in web technologies (JavaScript, HTML, CSS) and tag management solutions (Adobe Launch, Tealium, etc.).
• • Strong analytical skills with a deep understanding of digital marketing metrics and KPIs.
• • Excellent problem-solving skills and attention to detail.
• • Strong communication skills and the ability to collaborate across teams.
• Education Requirements: Bachelor's in computer science or other related field
• Years of Experience: 10+ years

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