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Data Analytics Jobs in Prosper, TX (NOW HIRING)

Citigroup Inc.

Data Analytics Lead Engineer

Irving, TX · On-site

$150 - $200/hr

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 ...

Hitachi

Data & Analytics Tower Lead

Dallas, TX

Job Summary Seeking an experienced Data & Analytics Tower Lead to oversee all aspects of the D&A function, including BAU operations, enhancements, and project delivery. This role will provide ...

Hitachi, Ltd.

Data & Analytics Tower Lead

Dallas, TX · On-site

Job Summary Seeking an experienced Data & Analytics Tower Lead to oversee all aspects of the D&A function, including BAU operations, enhancements, and project delivery. This role will provide ...

Integer

Solutions Architect IV - Data Analytics

Plano, TX

$61 - $78.50/hr

Configure, develop and support applications used on our Data & Analytics tech stack * Design and specify integrations between solutions collaborating with stakeholders and other IT teams * Create ...

BBB

Manager, AI and Data Analytics

Dallas, TX · On-site

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making ...

TERREPOWER

Manager, AI and Data Analytics

Irving, TX · On-site

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making ...

Tetra Pak

IT/Data Analytics internships

Denton, TX · On-site

$22 - $25/hr

Job Title: IT/Data Analytics internships Job Location: Denton, Texas United States At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good - protecting food ...

New

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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All JobsData Analytics JobsData Analytics Jobs in Prosper, TX

Data Analytics information

See Prosper, TX salary details

$22

$50

$86

How much do data analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics in Prosper, TX is $50.14, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $56.78 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

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

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

What are popular job titles related to Data Analytics jobs in Prosper, TX?

For Data Analytics jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Prosper, TX look for?

The top searched job categories for Data Analytics jobs in Prosper, TX are:

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,284 per year, or $50.1 per hour.

AI Data & Analytics (MarTech) Manager

Foley & Lardner LLP

Dallas, TX • Hybrid

Full-time

Re-posted 10 days ago

Job description

Overview

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too.

The Manager, Marketing Technology (AI Data & Analytics) will be responsible for strategic marketing and business development data analysis of data stored within Foley's Customer Relationship Management (CRM) system and other sources as needed to help identify the best possible revenue and operational efficiency opportunities. This Manager will be heavily involved in marketing technology and using AI to enhance, analyze, and output strategic data and further to ensure the right types of data are collected and stored with data hygiene guardrails and rules to ensure quality of data.  To that end, a part of this role will be analyzing the current state of data quality and making recommendations to improve the data. The incumbent understands leading marketing technology practices across the B2B marketing industry.  This role also requires a significant investment in data analytics and the Manager should be highly focused on finding new ways to use strategic data to give Foley a competitive advantage in the legal industry. 

Responsibilities
  • Ensure quality of data across marketing and other Foley systems.
  • Identify novel uses of AI to analyze and source data for strategic analysis and generating demand.
  • Use AI to enhance and enrich our data in addition to analyzing data and finding strategic opportunities.
  • Develop guardrails, processes, and quality controls for long term data hygiene.
  • Work with vendors to help improve the quality of our data.
  • Identify strategic opportunities for the firm through the analysis of data.
  • Work with others in the BD&M department and across the firm to help proactively use data to drive the business.
  • Ensure system controls are in place to help preserve and enhance the overall quality of data.
  • Create and run reports on a regular basis to provide updated data to various departments.
  • Create, manage, and follow data standards, processes and procedures.
  • Commit to high standards for data quality and strive for precision, accuracy and efficiency.
  • Look for, implement, and use tools that help better analyze data available for strategic marketing.
  • Provide superior client service to end users.
Qualifications
  • Bachelor's Degree required. #LI-Hybrid 
  • Minimum of seven (7) years of progressive experience within marketing technology, IT and/or data analytics required. 
  • Professional services experience preferred. 
  • Familiarity with using CRM and AI tools within data analytics is a plus.

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley. We are accepting ongoing applications. We are accepting ongoing applications.   Foley & Lardner LLP will consider qualified applicants with criminal histories in a manner consistent with California's Fair Chance Act.Milwaukee - $116,900 to $175,400San Diego, Denver, Dallas, Houston, Chicago - $128,600 to $192,900

Los Angeles - $134,400 -$201,700Boston, Washington D.C. - $140,300 to $210,500

Employment Type: FULL_TIME

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