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Enterprise Data Analyst Jobs (NOW HIRING)

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

The Data Analyst plays a critical role in driving data-informed decision-making across the marketing department. This role is responsible for compiling, maintaining, and visualizing regular reports ...

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical ...

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical ...

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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 Jul 13, 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:
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.
Enterprise Data Analyst II

Enterprise Data Analyst II

First Citizens Bank

Charlotte, NC • On-site

Full-time

Posted 5 days ago


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 rated banks


Job description

Overview

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

This position supports initiatives within the Bank that improve enterprise data quality, governance, and analytics. Drives positive change across the Bank through technical innovation and continuous improvement initiatives. Creates and maintains technical documentation related to enterprise data. Provides expert consultation to team members, the Information Technology department, and other stakeholders on tactics that achieve data management goals.


Responsibilities
  • Data Enhancement - Identifies and implements enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics where appropriate.
  • Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use.
  • Business Tactics - Facilitates initiatives that develop the Bank's data management capabilities. Assists management in creating and implementing business plans to achieve planned objectives. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
  • Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials.

Qualifications

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred Skills: 

  • Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Proven track record of leading agile data product delivery across cross-functional teams using agile frameworks such as Scrum, SAFe, or Kanban
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases.
  • Advanced proficiency in writing complex SQL queries to perform data analysis on the complex data sets.
  • Ability to convert complex technical findings into clear, actionable narratives for both technical and non-technical stakeholders.
  • Ability to create dashboards using the tools Tableau and Power BI for reporting analysis.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred Skills: 

  • Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Proven track record of leading agile data product delivery across cross-functional teams using agile frameworks such as Scrum, SAFe, or Kanban
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases.
  • Advanced proficiency in writing complex SQL queries to perform data analysis on the complex data sets.
  • Ability to convert complex technical findings into clear, actionable narratives for both technical and non-technical stakeholders.
  • Ability to create dashboards using the tools Tableau and Power BI for reporting analysis.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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