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Remote Data Analytics Manager Jobs in Addison, TX

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Monitor, manage, validate and test data extraction, movement, transformation, loading ...

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All JobsData Analytics JobsRemote Data Analytics Manager JobsRemote Data Analytics Manager Jobs in Addison, TX

Remote Data Analytics Manager information

See Addison, TX salary details

$30K

$94K

$166.5K

How much do remote data analytics manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data analytics manager in Addison, TX is $94,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $121,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What are the key skills and qualifications needed to thrive as a remote data analytics manager?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.
What job categories do people searching Remote Data Analytics Manager jobs in Addison, TX look for? The top searched job categories for Remote Data Analytics Manager jobs in Addison, TX are:
What cities near Addison, TX are hiring for Remote Data Analytics Manager jobs? Cities near Addison, TX with the most Remote Data Analytics Manager job openings:
Remote Data Analytics Manager jobs near you
Infographic showing various Remote Data Analytics Manager job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,041 per year, or $45.2 per hour.

Enterprise Data Operations Senior Analyst

PepsiCo

Plano, TX • On-site, Remote

$118K - $148K/yr

Full-time

Posted 7 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 895 frontline employees who took The Breakroom Quiz

155th of 437 rated food and drinks producers

Job description

Overview

Job Title: Enterprise Data Operations Senior Analyst (Multiple positions)

Employer: PepsiCo Inc.

Location: 7701 Legacy Drive, Plano, Texas 75024


Responsibilities

Duties: Design and implement scalable, enterprise-grade data pipelines for ingestion, transformation, and curation of structured and unstructured data into PepsiCo’s cloud-based Data Lake, leveraging Azure Data Factory, Databricks, DBT, and related tools. Lead the development and optimization of advanced ETL/ELT frameworks to support high-volume data workflows across hybrid cloud environments (on-premise and Azure), enabling efficient data access for analytics, business intelligence, and data science use cases. Establish and enforce best practices for data engineering operations, including monitoring, logging, alerting, and automated deployment using Azure DevOps, Git, and CI/CD pipelines to ensure data pipeline reliability and resilience. Ensure high performance and availability of data platforms by implementing performance tuning strategies across Delta Lake, Azure Synapse (Dedicated and Serverless Pool), and DB SQL, and managing data lineage, profiling, and quality controls. Drive enterprise data governance initiatives through the strategic implementation of Unity Catalog, enforcing fine-grained access controls, data classification policies, and metadata management standards to ensure data security and compliance. Establish best practices for coding documentation, foster reusable code libraries, standardize development practices, implement enterprise Agile delivery frameworks, and promote continuous learning by participating in global data engineering events. Apply in-depth knowledge of PepsiCo’s business operations, P&L structures, and Financial Planning and Analytics priorities to generate impactful insights and drive innovation. Collaborate with cross-functional teams to translate business needs into scalable data architectures and impactful technical solutions.

*Telecommuting permitted 50%: work may be performed within normal commuting distance from the PepsiCo office in Plano, Texas.

#LI-DNI


Qualifications

Job Requirements: Position requires a Bachelor's degree (US or Foreign Equivalent) in Computer Science, Data Engineering, Information Technology, Analytics, Mathematics, Physics, or other technical fields and four (4) years of experience in hands-on software development, data engineering, data analytics, and systems architecture OR Master’s degree (US or Foreign Equivalent) in Computer Science, Data Engineering, Information Technology, Analytics, Mathematics, Physics, or other technical fields and two (2) years of experience in hands-on software development, data engineering, data analytics, and systems architecture. Must have four (4) years of experience (or 2 with Master’s) in: Strong programming expertise in Python, SQL, PySpark, SparkSQL development, and performance optimization for processing large-scale datasets. Must have two (2) years of experience with: working with cloud data platforms, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Delta Lake; designing and implementing enterprise-scale ETL/ELT data pipelines using technologies Azure Data Factory, DBT, and Databricks Workflow; implementing CI/CD pipelines and system monitoring using platforms Azure DevOps, with strong familiarity in code version control tools Git; collaborating cross-functionally with business stakeholders and technical teams to deliver scalable, data-driven innovation; and demonstrated understanding of FMCG, P&L structures, Financial Planning and Analytics priorities, with a strong ability to translate business needs into
actionable data solutions.

Salary: $118,893 - $148,000/ year.

QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com and search req ID # 464503 or job title. Click on matching job and follow directions to submit resume.

#LI-DNI


EEO Statement

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. 

Qualifications:

Job Requirements: Position requires a Bachelor's degree (US or Foreign Equivalent) in Computer Science, Data Engineering, Information Technology, Analytics, Mathematics, Physics, or other technical fields and four (4) years of experience in hands-on software development, data engineering, data analytics, and systems architecture OR Master’s degree (US or Foreign Equivalent) in Computer Science, Data Engineering, Information Technology, Analytics, Mathematics, Physics, or other technical fields and two (2) years of experience in hands-on software development, data engineering, data analytics, and systems architecture. Must have four (4) years of experience (or 2 with Master’s) in: Strong programming expertise in Python, SQL, PySpark, SparkSQL development, and performance optimization for processing large-scale datasets. Must have two (2) years of experience with: working with cloud data platforms, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Delta Lake; designing and implementing enterprise-scale ETL/ELT data pipelines using technologies Azure Data Factory, DBT, and Databricks Workflow; implementing CI/CD pipelines and system monitoring using platforms Azure DevOps, with strong familiarity in code version control tools Git; collaborating cross-functionally with business stakeholders and technical teams to deliver scalable, data-driven innovation; and demonstrated understanding of FMCG, P&L structures, Financial Planning and Analytics priorities, with a strong ability to translate business needs into
actionable data solutions.

Salary: $118,893 - $148,000/ year.

QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com and search req ID # 464503 or job title. Click on matching job and follow directions to submit resume.

#LI-DNI

Education:UNAVAILABLEEmployment Type: FULL_TIME

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About PepsiCo

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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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