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Data Dimensions Jobs in Dallas, TX (NOW HIRING)

PepsiCo

Data Product Manager

Plano, TX · On-site

$110K - $185K/yr

This individual delivers these critical dimensions: * Building and executing seamlessly against data roadmaps for each data initiative. * Capturing business requirements, data requirements and ...

PepsiCo

Data Product Manager

Plano, TX

$110K - $185K/yr

This individual delivers these critical dimensions: * Building and executing seamlessly against data roadmaps for each data initiative. * Capturing business requirements, data requirements and ...

Syntricate Technologies

Snowflake Developer

Coppell, TX · On-site

$45.75 - $62.75/hr

... dimensions and fact tables. • Expertise in data lineage analysis, data profiling, ETL validation, data cleansing, masking, and other data management tasks. • Strong skills in SQL performance ...

Cinemark Holdings, Inc.

Lead Data Scientist

Plano, TX · On-site

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... Architect scalable dashboards in Power BI that handle high-cardinality dimensions using ...

Cinemark USA, Inc

Lead Data Scientist

Plano, TX

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... Architect scalable dashboards in Power BI that handle high-cardinality dimensions using ...

Cinemark USA, Inc

Lead Data Scientist

Plano, TX · On-site

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... dimensions using aggregations, extracts, semantic models, row-level security, and incremental ...

Cinemark Holdings

Lead Data Scientist

Plano, TX · On-site

The Lead Data Scientist is a technical leader responsible for designing, building, deploying, and ... Architect scalable dashboards in Power BI that handle high-cardinality dimensions using ...

McKesson

Lead Data Architect & Engineer

Fort Worth, TX · On-site +1

Build fact tables, dimensions, and semantic layers that provide a governed source of truth for Power BI and Tableau. * Ensure every data product is accurate, reliable, scalable, and maintainable.

McKesson

Lead Data Architect & Engineer

Fort Worth, TX · On-site +1

Build fact tables, dimensions, and semantic layers that provide a governed source of truth for Power BI and Tableau. * Ensure every data product is accurate, reliable, scalable, and maintainable.

New

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings. * Experience building production-grade ML pipelines and data pipelines. * Solid ...

RealPage, Inc.

Senior Data Engineer

Richardson, TX

$105K - $180K/yr

Model and evolve relational schemas (dimensions, fact tables, staging, source-of-truth structures ... Mentor junior data/report engineers; contribute to internal documentation, templates, and ...

RealPage, Inc.

Senior Data Engineer

Richardson, TX · On-site

$105K - $180K/yr

Model and evolve relational schemas (dimensions, fact tables, staging, source-of-truth structures ... Mentor junior data/report engineers; contribute to internal documentation, templates, and ...

RealPage, Inc.

Senior Data Engineer

Richardson, TX · On-site

$105K - $180K/yr

Model and evolve relational schemas (dimensions, fact tables, staging, source-of-truth structures ... Mentor junior data/report engineers; contribute to internal documentation, templates, and ...

RealPage

Senior Data Engineer

Richardson, TX · On-site

$125 - $150/hr

Model and evolve relational schemas (dimensions, fact tables, staging, source-of-truth structures ... Mentor junior data/reportengineers;contribute to internal documentation, templates, and onboarding ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

What are popular job titles related to Data Dimensions jobs in Dallas, TX?

For Data Dimensions jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Dimensions jobs in Dallas, TX look for?

The top searched job categories for Data Dimensions jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Dimensions jobs?

Cities near Dallas, TX with the most Data Dimensions job openings:

Data Dimensions jobs near you
Infographic showing various Data Dimensions job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Product Manager

PepsiCo

Plano, TX • On-site

$110K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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
With data deeply embedded in our DNA, PepsiCo Data & Analytics (D&Ai) transforms data into consumer delight. We build and organize business-ready data and analytics that allow PepsiCo's leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
Data Product Management is part of the Global Data, Analytics & Ai (D&AI) team. We are tasked with articulation of the vision and leading the implementation of PepsiCo's next generation global Data infrastructure. The scope encompasses the full Strategy & Transformation agenda, leading all Data Product roadmap initiatives.
We are looking for a Data Product Manager to lead the delivery of data and analytics for PepsiCo's Consumer and Commercial data products. This individual delivers these critical dimensions:
  • Building and executing seamlessly against data roadmaps for each data initiative.
  • Capturing business requirements, data requirements and translating for technical teams
  • Leading cross functional teams (PODs) to deliver, via agile artifacts and ceremonies.
  • Being the voice of Data, Analytics and Ai to leadership and business stakeholders.
  • Working with technical teams to meet their needs, and to provide guidance and leadership on delivery.
  • Drive adoption of data solutions in business and continue to ensure that data and analytics meet the needs of the business use cases.

Responsibilities
Demand and Design Accountability
  • Define the product/data roadmap and capture comprehensive requirements.
  • Design the solution with technical teams and capture the nuances to ensure E2E optimization and efficiency.
  • Author technical data requirements and documents required throughout the delivery life cycle.

Delivery Accountability
  • Manage delivery against key technical delivery milestones.
  • Ensure the technical teams are clear on the "why" from the perspective of the Business customer.
  • Work with technical teams (Data Science, Data Engineering, Stewardship, Governance, BI/Visualization) to write and steward user stories and requirements in Azure DevOps. Ensure these teams are spending optimal time at work in their specialties.
  • Manage the output and development of other Data Product Managers
  • Manage business customer expectations and seek to eliminate disconnect.
  • Collaboratively manage reporting that measures D&Ai execution against key programs.

Go to Market and Adoption
  • Ensure data, analytics and Ai outputs meet requirements.
  • Translate the analytics solutions back to the business to ensure they are actionable and business can drive value from those insights.
  • Collaborate with business & transformation teams to embed analytics solutions and overcome implementation difficulties.
  • Effectively manage key stakeholders at all levels within the organization.
  • Foster collaborative team culture within PODs

Compensation and Benefits:
  • The expected compensation range for this position is between $110,700 - $185,250.
  • 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 12% of annual salary paid out annually.
  • 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
  • Bachelor's degree required
  • 8 years of Data Product Management in business facing functions which includes strong expertise in agile and product lifecycle discipline.
  • 3+ years of experience leading/building advanced analytics and big data solutions or building enterprise SaaS.
  • Deep understanding of fundamental machine-learning principles (for instance, training versus predicting, performance measurement, and overfit), as well as techniques such as random forests or neural networks
  • Familiarity with machine-learning technologies and tools, such as big data stack, Python, and visualization techniques
  • Knowledge of data architecture, modeling, and engineering concepts. Familiarity with Azure tech stack a huge plus.
  • Familiarity with principles and tools for data governance and stewardship
  • Persuasive communication skills and an ability to break down complex information into relevant and digestible points for both technical teams and the business.
  • Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning.
  • Highly initiative taking with ability to identify and pursue growth and opportunities.
  • Seasoned C-Suite presenter
  • Excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure.
  • Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels.

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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
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

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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

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