ZipRecruiter

Log In

1

Enterprise Data Analyst Jobs (NOW HIRING)

McLeod Software

Analyst, Enterprise Data

Birmingham, AL · On-site

The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

Leidos

Journeyman Data Analyst

Bethesda, MD

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Technical Data Analyst Location: Jersey City, NJ Must Have Qualifications: * 5-6 years of ... Experience with enterprise MDM platforms such as GoldenSource or similar solutions. * Strong ...

Sarian, Inc.

Enterprise Data Architect

Jersey City, NJ · On-site

Enterprise Data Architect Location: Primary - NJ/NYC Secondary - Dallas/Charlotte/Atlanta/Chicago ... Furthermore, shape large Data and Analytics opportunities for TCS. Prior experience in Banking ...

Nastech Global

Enterprise Data Architect

New York, NY · On-site

New Jersey, NYC, Dallas, TX/Charlotte, NC/Atlanta, GA /Chicago, IL Job Type: Full Time Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key role in ...

FEDRUS GLOBAL LLC

Reporting Data Analyst

Alpharetta, GA · On-site

... enterprise data warehouses Understanding of dimensional modeling and enterprise reporting concepts Must-Have Skills ✓ 8+ years as a hands-on IT Reporting Data Analyst ✓ 4+ years in reporting/data ...

Sarian, Inc.

Enterprise Data Architect

Atlanta, GA · On-site

Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions ...

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

We are seeking a Data Analyst with experience supporting data migration, data integration, and enterprise data platforms . The ideal candidate will have strong SQL skills and experience analyzing ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA · On-site

As a Data & Product Analyst, you will play a critical role in transforming enterprise data into meaningful insights that drive product strategy, business performance, and operational excellence. You ...

next page

Showing results 1-20

All JobsEnterprise Data Analyst Jobs

Enterprise Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do enterprise data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for enterprise data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Enterprise Data Analyst vs Data Scientist?

AspectEnterprise Data AnalystData Scientist
Required CredentialsBachelor's in Data Analytics, Business, or related fields; often certifications in SQL, Excel, or BI toolsBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, focusing on reporting, dashboards, and data managementResearch and development environments, focusing on predictive modeling and advanced analytics
Employer & Industry UsageCorporate, finance, healthcare, retail, and other industries requiring data reportingTech companies, research institutions, and industries needing advanced data modeling

The main difference between an Enterprise Data Analyst and a Data Scientist lies in their focus and skill set. Enterprise Data Analysts primarily handle data reporting, visualization, and business intelligence tasks, while Data Scientists develop predictive models and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

How does an Enterprise Data Analyst typically collaborate with cross-functional teams within an organization?

Enterprise Data Analysts often work closely with teams such as IT, business operations, and executive leadership to gather requirements, understand business objectives, and deliver actionable insights. They frequently participate in cross-departmental meetings to translate data findings into strategic recommendations. Collaboration is key, as analysts must communicate complex data concepts in an accessible way to non-technical stakeholders, ensuring that data-driven decisions align with organizational goals.

What is the highest paying data analyst job?

Senior enterprise data analysts, especially those with advanced skills in machine learning, big data tools, and business intelligence, tend to have the highest salaries in data analysis roles. Positions such as data science managers or analytics directors often earn higher compensation, particularly in large organizations or industries like finance and technology.

What are the key skills and qualifications needed to thrive as an Enterprise Data Analyst, and why are they important?

To thrive as an Enterprise Data Analyst, you need a solid understanding of data analysis, statistics, and data management, typically supported by a degree in a related field such as computer science, mathematics, or business analytics. Proficiency in SQL, data visualization tools like Tableau or Power BI, and familiarity with database systems and data warehousing concepts are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for transforming complex data into actionable business insights, supporting strategic decision-making across an organization.

What jobs in the US pay 300,000 a year?

Enterprise Data Analysts typically do not earn $300,000 annually; high-paying roles in data science, executive management, or specialized consulting can reach or exceed this level. Senior positions such as Chief Data Officers or Data Science Directors often have salaries in this range, especially with extensive experience, advanced skills, and relevant certifications. Compensation varies based on industry, location, and company size.

What jobs pay 200,000 a year in the USA?

Enterprise Data Analysts typically do not reach $200,000 annually unless they have extensive experience, advanced skills in data management, and often hold senior or managerial roles. Higher-paying data-related roles such as Data Science Managers, Data Architects, or Chief Data Officers frequently exceed this salary level, especially in large organizations or with specialized expertise and certifications. Salary varies based on industry, location, and experience.

What is an Enterprise Data Analyst?

An Enterprise Data Analyst is a professional who collects, processes, and analyzes large datasets within an organization to provide insights that support business decisions. They work across departments to identify trends, create reports, and ensure data quality and integrity. Enterprise Data Analysts often use advanced analytical tools and collaborate with stakeholders to develop strategies based on data-driven findings. Their work helps organizations optimize operations, identify opportunities, and address challenges through informed decision-making.

What does an enterprise data analyst do?

An enterprise data analyst collects, analyzes, and interprets large datasets to help organizations make data-driven decisions. They use tools like SQL, Excel, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and understanding of business operations are essential for this role.
More about Enterprise Data Analyst jobs
What cities are hiring for Enterprise Data Analyst jobs? Cities with the most Enterprise Data Analyst job openings:
What states have the most Enterprise Data Analyst jobs? States with the most job openings for Enterprise Data Analyst jobs include:
What job categories do people searching Enterprise Data Analyst jobs look for? The top searched job categories for Enterprise Data Analyst jobs are:
Enterprise Data Analyst jobs near you
Infographic showing various Enterprise Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Analyst, Enterprise Data

Analyst, Enterprise Data

McLeod Software

Birmingham, AL • On-site

Full-time

Re-posted yesterday

Job description

Description
Purpose of this Position:
The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to-end process of data collection, transformation, storage, and analysis. The Enterprise Data Analyst will work with departments across the organization to provide data solutions to our internal teams, ensuring data is reliable, accessible, and actionable, driving insights and strategic initiatives throughout the organization. They will also assist in deploying special projects for the other departments as requested.
Essential Duties and Responsibilities:
  • Design, implement, and maintain data pipelines and ETL processes to support data reporting and dashboards.
  • Organize, model, and store raw data in our data warehouse and data lake.
  • Analyze and interpret data using statistical methods and tools.
  • Create and maintain reports, dashboards, and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Ensure the reliability, efficiency, and quality of data by developing and implementing processes for data cleaning, transformation, and validation.

Competencies:
  • Ability to learn internal software and systems.
  • Strong written and verbal communication skills.
  • Ability to manage competing projects and priorities effectively.
  • Ability to interact with varying organizational levels confidently.
  • Ability to communicate technical information coherently to a variety of stakeholders.
  • Ability to confidentially interact with and interpret organizational information.
  • Strong analytical skills.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
  • Bachelor's degree and 2+ years of experience in data analysis, interpretation, and visualization; or an equivalent combination of education and experience, including 6+ years of experience in data analysis, interpretation, and visualization.
  • Experience with enterprise software or the transportation and logistics industry is a plus.
  • Advanced proficiency with Microsoft Office Suite.
  • Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required.
  • Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI, Looker) required.
  • Familiarity with big data technologies and platforms such as Delta Lake, Spark, and Databricks required.
  • Experience with SQL and relational databases is highly preferred.
  • Knowledge of schema design, data modeling, and data analysis is preferred.
  • Familiarity with data orchestration tools such as Dagster, Airflow, or Prefect is preferred.
  • Preferred certifications in Azure, Power BI, Data Analytics, or Data Engineering include, but are not limited to:
    • Azure Data Engineer Associate
    • Microsoft Power BI Data Analyst (PL-300)
    • Microsoft Azure Fundamentals
    • DataCamp Data Engineer Certification
    • DataCamp Data Analyst Certification
    • DataCamp Data Scientist Certification
    • Other related cloud, analytics, or data engineering certifications

Why McLeod?
At McLeod Software, we believe that our employees are our greatest competitive advantage. Each employee contributes directly to McLeod Software's growth and success. When you join McLeod, you're joining a company that's built for the long haul-with a clear vision, strong leadership, and a commitment to investing in our people.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply