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Enterprise Data Analyst Jobs (NOW HIRING)

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role ...

AMH

Enterprise Data Analyst

Calabasas, CA

$91K - $114K/yr

The Enterprise Data Analyst is responsible for analyzing and interpreting collected data, identifying trends, creating reports, dashboards, scorecards, and tailored datasets for self-service ...

Amh

Enterprise Data Analyst

Calabasas, CA

$91K - $114K/yr

The Enterprise Data Analyst is responsible for analyzing and interpreting collected data, identifying trends, creating reports, dashboards, scorecards, and tailored datasets for self-service ...

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 ...

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Enterprise Data Analyst information

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$82.6K

$136K

How much do enterprise data analyst jobs pay per year?

As of Jun 20, 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 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?

For an Enterprise Data Analyst, earning $300,000 annually is uncommon; such salaries are typically seen in executive roles like Chief Data Officer or senior management positions in large organizations. High compensation may also be achieved through bonuses, stock options, or in specialized industries such as finance or technology. Most data analyst roles have lower base salaries, but senior or specialized roles can approach or exceed this level with experience and additional compensation components.

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 analytics tools, or hold senior or managerial positions. Higher-paying roles in data and technology fields such as data science, data engineering, or executive positions often exceed this salary level, especially with specialized certifications and a strong track record.

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.

Is 40 too late for data science?

For an enterprise data analyst or those transitioning into data science, starting a career at 40 is feasible as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience, relevant certifications, and continuous learning are valuable assets in entering the field regardless of age.

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 June 2026, with employment types broken down into 3% As Needed, 89% Full Time, 3% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

ENTERPRISE DATA ANALYST

Kanak Elite Services Inc

Juno Beach, FL • On-site

Contractor

Posted 8 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Enterprise Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Enterprise Data Analyst

Juno Beach, FL Onsite

Long term contract

2nd round will be onsite

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
    • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
    • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a Community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.