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Enterprise Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

We are seeking a Head of Enterprise Data & Analytics to provide end-to-end leadership of the initiative to modernize the company's enterprise technology foundation. Reporting directly to the CIO, you ...

Sr. Data Analyst

Dahlgren, VA ยท On-site

$87.70K - $110.60K/yr

The Senior Data Analyst leads analysis, integration, modeling, and reporting of enterprise data in support of financial, logistics, ERP, and human resources functions. The Senior Data Analyst ...

Under the direction of Chief Data & Analytics Officer, the Enterprise Data Architect is a technical leader responsible for defining, documenting, and governing the canonical data model and ...

Sr. Data Analyst

Dahlgren, VA ยท On-site

$87.70K - $110.60K/yr

The Senior Data Analyst leads analysis, integration, modeling, and reporting of enterprise data in support of financial, logistics, ERP, and human resources functions. The Senior Data Analyst ...

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Enterprise Data Analyst information

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$34K

$82.6K

$136K

How much do enterprise data analyst jobs pay per year?

As of May 29, 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 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.

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 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 jobs in the US pay 300,000 a year?

For an Enterprise Data Analyst, earning $300,000 annually typically requires extensive experience, advanced skills in data management and analytics, and often a leadership or senior-level position. Such compensation is more common in senior roles within large organizations, especially those involving strategic decision-making, data science, or executive responsibilities. High-paying data-related roles may also require specialized certifications and a strong track record of delivering business value.

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.

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:
Infographic showing various Enterprise Data Analyst job openings in the United States as of May 2026, with employment types broken down into 49% Full Time, 40% Part Time, and 11% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Enterprise Data Architect

Nastech Global

New York, NY โ€ข On-site

Full-time

Posted 22 days ago


Job description

Job Title: Enterprise Data Architect
Location: New Jersey,ย NYC, Dallas, TX/Charlotte, NC/Atlanta, GA /Chicago, IL
Job Type: Full Time
ย 
Job Description
Must Have Technical/Functional Skills
ย Enterprise Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. Partner with Key Roles (Business and Technology) to shape the Enterprise Data & Analytics strategy, provide hands on guidance to convert the strategy to architecture/Solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits) and actionable plan. Furthermore, shape large Data and Analytics opportunities.ย  Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, Social are essential.
ย 
ย