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Data Analytics Jobs in Coppell, TX (NOW HIRING)

This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross ...

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 ...

New

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 ...

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 ...

New

Solutions Architect IV - Data Analytics

Plano, TX · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

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Data Analytics information

See Coppell, TX salary details

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$87

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Coppell, TX is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $57.26 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 Coppell, TX?

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

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

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

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

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

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

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

Infographic showing various Data Analytics job openings in Coppell, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,124 per year, or $50.5 per hour.

Marketing Data & Analytics Director

PepsiCo

Plano, TX • On-site

$132K - $262K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 904 frontline employees who took The Breakroom Quiz

153rd of 445 rated food and drinks producers


Job description

Overview

The Director, Advanced Analytics is responsible for leading the analytics strategy and capabilities that enable growth across the Walmart and Sam's Club business. This leader partners closely with commercial leadership to translate complex business questions into actionable insights, predictive analytics, and scalable digital solutions that improve decision-making and drive commercial performance.

This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross-functionally with Digital Experience (DX), Strategy, Transformation & Analytics (ST&A), Data & Analytics (D&A), eCommerce Technology, Global Business Services (GBS), Commercial Insights, and Product teams, the Director ensures high-quality analytics, trusted data, and scalable capabilities that support both near-term business priorities and long-term capability development.

Success in this role requires a strong combination of commercial acumen, analytical expertise, strategic thinking, people leadership, and influence across a highly matrixed organization.

Responsibilities

Analytics Strategy & Business Partnership:

  • Serve as the strategic analytics leader supporting the Walmart and Sam's Club business, translating business priorities into scalable analytical solutions.
  • Partner with senior commercial leaders to identify opportunities where advanced analytics can improve customer strategy, category performance, forecasting, revenue growth, and operational execution.
  • Deliver executive-level insights, recommendations, and business reporting that influence strategic decision making.
  • Lead prioritization of analytics work, balancing business impact, resource capacity, and delivery timelines.
  • Communicate complex analytical findings in a clear, actionable manner to both technical and non-technical audiences.

Advanced Analytics & Capability Development:

  • Lead the development and application of advanced analytics, predictive models, machine learning, and statistical techniques to solve complex commercial challenges.
  • Oversee development of analytics supporting areas such as price elasticity, demand forecasting, phantom inventory, shopper behavior, assortment, promotional effectiveness, and other key business opportunities.
  • Identify emerging trends, risks, and growth opportunities through structured, semi-structured, and unstructured data sources.
  • Define and execute the analytics capability roadmap, aligning Horizon 1 execution with longer-term Horizon 2 and Horizon 3 innovation priorities.
  • Champion adoption of modern analytics, AI, and predictive capabilities to drive more proactive decision making across the organization.

Product & Data Enablement:

  • Lead the strategy and governance for executive dashboards and analytics products that provide consistent, trusted business insights.
  • Partner with DX, D&A, ST&A, GBS, and technology teams to improve data quality, strengthen data foundations, and enhance digital analytics capabilities.
  • Ensure analytics products are scalable, user-centric, and aligned with evolving business needs.
  • Drive continuous improvement in reporting automation, visualization, and self-service analytics capabilities.

People Leadership:

  • Lead, coach, and develop a high-performing team of analytics professionals while fostering a culture of curiosity, innovation, and continuous learning.
  • Build future-ready analytics capabilities by investing in technical development, commercial acumen, and leadership growth.
  • Establish clear priorities, performance expectations, and accountability across the team.
  • Build strong partnerships across PepsiCo's commercial, analytics, technology, and enterprise functions to maximize organizational impact.

Compensation & Benefits:

  • The expected compensation range for this position is between $132,200 - $262,400.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 25% of annual salary paid out annually and an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.
  • Long term incentive equity may be awarded based on eligibility and performance.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
Qualifications

Required Qualifications:

  • Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related field.
  • 8+ years of progressive experience in analytics, business intelligence, data science, commercial strategy, or related fields.
  • 5+ years of experience leading high-performing analytics or technical teams.
  • Demonstrated experience applying advanced analytics, predictive modeling, and statistical techniques to solve complex business problems.
  • Experience working with large, complex datasets and modern analytical tools, including Python, SQL, or similar programming languages.
  • Strong executive communication, storytelling, and stakeholder management skills.
  • Proven ability to influence senior leaders and operate effectively across highly matrixed organizations.
  • Strong commercial acumen with the ability to connect analytics to business outcomes.

Preferred Qualifications:

  • Master's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related discipline.
  • Experience supporting large retail customers, CPG organizations, or commercial organizations.
  • Experience with machine learning applications in a business environment.
  • Experience developing executive dashboards and self-service analytics capabilities using platforms such as Power BI or Tableau.
  • Familiarity with shopper, consumer, syndicated, retail, and digital commerce data sources.
  • Experience partnering with product, technology, data engineering, or enterprise analytics organizations to deliver scalable analytics solutions.
  • Passion for developing talent, fostering innovation, and advancing data-driven decision making across the organization.
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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement

Employment Type: FULL_TIME

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965