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How Much Do Data Warehouse Specialist Make?

How much do data warehouse specialist make? Discover the average salary, base salary, and compensation for data warehouse specialist in the logistics & supply chain category. Learn about data warehouse specialist pay per hour, per week, per month, and per annum with detailed salary ranges from $65,000 to $90,000.

Base Salary (avg)
$109,000
Per Hour
$52/hr
Avg Bonus
$10,000
Job Outlook
12.34%
Experience
5 yrs

How Much Do Data Warehouse Specialist Make? Complete Salary Guide

How much do data warehouse specialist make? This is one of the most common questions in career planning. Data Warehouse Specialist in the Logistics & Supply Chain field can expect to earn an average salary of $109,000 per year, with entry-level positions starting at $65,000 and experienced professionals earning up to $90,000 annually.

When breaking down the average salary of data warehouse specialist by time periods, data warehouse specialist typically make around $9,083.333 per month and approximately $2,096.154 per week. The basic salary of data warehouse specialist varies significantly based on experience level, location, and industry specialization. Entry-level data warehouse specialist typically start with a base salary of $65,000, while mid-career professionals earn an average of $90,000, and senior-level roles can command salaries exceeding $90,000.

The salary landscape for data warehouse specialist is influenced by several key factors including geographic location, years of experience, educational background, and specific industry demands. How much do data warehouse specialist make in a week? On average, this translates to approximately $2,096.154 per week. How much do data warehouse specialist make per annum? The annual salary range spans from $60,000 to $120,000, with the median salary sitting at $109,000. Additionally, many data warehouse specialist receive bonuses averaging $10,000 annually, representing approximately 15.25% of their base salary.

How Much Do Data Warehouse Specialist Get Paid Per Annum? Data Warehouse Specialist Salary

Annual salary data for data warehouse specialist across different experience levels, showing entry-level, mid-career, and experienced professional compensation ranges based on industry standards.

Entry Level Annual Salary

$65,000
Range: $60,000 - $80,000

Mid-Career Annual Salary

$90,000
Range: $80,000 - $120,000

Experienced Annual Salary

$90,000
Range: $90,000 - $120,000

How Much Do Data Warehouse Specialist Get Paid in a Month? Data Warehouse Specialist Monthly Salary

Monthly salary breakdowns for data warehouse specialist at different career stages, providing practical budgeting insights and compensation expectations for financial planning.

Entry Level Monthly Salary

$5,417
per month

Mid-Career Monthly Salary

$7,500
per month

Experienced Monthly Salary

$7,500
per month

How Much Do Data Warehouse Specialist Get Paid in Different Locations?

Geographic salary variations for data warehouse specialist across different cities and regions, including cost of living adjustments and regional market demand factors that impact compensation.

Austin
$85,000
Range: $60,000 - $110,000
Remote
$75,000
Range: $50,000 - $100,000
Seattle
$95,000
Range: $70,000 - $125,000
New York
$90,000
Range: $60,000 - $120,000
San Francisco
$110,000
Range: $80,000 - $140,000

Data Warehouse Specialist Salary Trends

Historical salary progression for data warehouse specialist over the past years, showing year-over-year compensation growth and market trends in the industry.

Data Warehouse Specialist Salary Trends (2020 - 2025)

Bonus & Compensation Package

Additional compensation beyond base salary, including bonuses, commissions, and overtime opportunities that contribute to total annual earnings.

Bonus Percentage

15.25%

of annual salary

Bonuses for Data Warehouse Specialists are typically based on performance metrics, project success, individual contributions, and company profitability.

Average Bonus

$10,000

annually

Commission

Data Warehouse Specialist roles usually offer fixed salaries, but some positions may include bonuses or incentives based on project success or performance metrics.

Overtime

Overtime pay is common for Data Warehouse Specialists, especially during project deadlines or system upgrades, reflecting the demanding nature of their role.

Employee Benefits Package

Comprehensive benefits and perks provided to employees, including health coverage, retirement plans, time off policies, and professional development opportunities.

Comprehensive Benefits

Typical benefits for a Data Warehouse Specialist include health insurance, 401(k) retirement plans, paid time off (PTO), flexible work arrangements, professional development opportunities, and performance bonuses.

Health Insurance
Paid Time Off
Retirement Plans
Development

Data Warehouse Specialist Job Overview

Comprehensive details about the data warehouse specialist role including daily responsibilities, work environment, physical demands, and key tasks that define this career path.

About This Role

A Data Warehouse Specialist designs, develops, and maintains data warehouse systems. They ensure efficient data storage, retrieval, and integration from various sources. By optimizing data architecture and implementing ETL processes, they enable organizations to analyze large datasets effectively, driving informed decision-making and enhancing business intelligence capabilities.

Primary Responsibilities

Designing and implementing data warehouse solutions, optimizing ETL processes, ensuring data quality and integrity, managing data storage and retrieval, collaborating with stakeholders to gather requirements, developing data models and schemas, performing data analysis and reporting, monitoring system performance and troubleshooting issues, maintaining documentation of processes and systems.

Day-to-Day Tasks

A Data Warehouse Specialist typically designs data models, optimizes ETL processes, ensures data integrity, collaborates with stakeholders for requirements gathering, monitors performance, and generates reports to support business intelligence initiatives.

Work Environment

Hybrid

Data Warehouse Specialists typically work in office environments, collaborating with teams, utilizing advanced software tools, and analyzing data for insights.

Physical Demands

Moderate

Data Warehouse Specialists typically work in office environments, requiring prolonged computer use, attention to detail, and occasional collaboration with teams, often under tight deadlines.

Data Warehouse Specialist Requirements & Prerequisites

Essential qualifications and credentials needed to pursue a career as a data warehouse specialist, including educational background, certifications, and experience requirements.

Education

Bachelor’s degree.

Field: Computer Science, Information Technology, Data Science, Management Information Systems, Mathematics, Statistics, Business Administration, Engineering.

Experience

5 years

Employers seek experience in data modeling, ETL processes, SQL proficiency, database management, and cloud technologies. Strong analytical skills and familiarity with BI tools are also highly valued.

Certifications

Certified Data Management Professional (CDMP), Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, IBM Certified Database Administrator, Teradata Certification, Oracle Database SQL Certified Associate, Cloudera Certified Associate (CCA) Data Analyst.

Required Skills

SQL, ETL processes, data modeling, data integration, performance tuning, cloud technologies, business intelligence tools, data governance.

Technical Skills

SQLETL ProcessesData ModelingData Warehousing ConceptsBusiness Intelligence ToolsCloud Data SolutionsData GovernancePerformance Tuning

Soft Skills

CommunicationProblem SolvingAttention to DetailTeam CollaborationAdaptabilityTime Management

Data Warehouse Specialist Career Path

Professional progression opportunities for data warehouse specialist from entry-level to senior management, including typical career advancement timeline and role evolution.

Entry Level

Positions:

Data Analyst, Business Intelligence Analyst, Data Engineer.

Early-career Data Warehouse Specialists design, implement, and maintain data storage systems, ensuring data integrity, optimizing performance, and supporting analytics for informed business decision-making.

Mid-Career

Positions:

Data Analyst, Business Intelligence Analyst, Database Administrator

Mid-career Data Warehouse Specialists design, implement, and optimize data storage solutions, ensure data integrity, collaborate with stakeholders, and support analytics to drive business insights.

Senior Management

Positions:

Data Warehouse Manager, Data Architect, Business Intelligence Director

Senior Data Warehouse Specialists oversee data architecture, optimize ETL processes, ensure data quality, manage team collaboration, and align strategies with business goals for informed decision-making.

Career Progression Timeline

Timeline: 5 years

A Data Warehouse Specialist typically advances to roles like Data Architect or Business Intelligence Manager, leveraging expertise in data management and analytics to drive strategic decisions. Continuous learning and certification enhance career prospects.

Data Warehouse Specialist Industry & Growth

Market outlook and growth prospects for data warehouse specialist, including industry trends, job market demand, and factors influencing career opportunities and advancement.

Job Outlook

12.34% Growth

Faster than average

Projected: 2024–2034

Industry Trends

Cloud migration and adoption, increased focus on data governance and compliance, integration of AI and machine learning for analytics.

Growth Factors

Growing data volumes, need for real-time analytics, cloud adoption, business intelligence demands, regulatory compliance, and enhanced decision-making drive increased demand for Data Warehouse Specialists.

Future Opportunities

Cloud data warehousing, real-time analytics, machine learning integration, data governance automation, and multi-cloud strategies are emerging niches creating opportunities for Data Warehouse Specialists.

Data Warehouse Specialist Related Professions

Alternative career paths and similar roles for data warehouse specialist, including career transitions, related positions, and advancement opportunities within the field.

Similar Roles

Data AnalystBusiness Intelligence DeveloperDatabase AdministratorETL Developer

Career Alternatives

Data AnalystBusiness Intelligence DeveloperData ArchitectETL DeveloperDatabase Administrator

Upgrade Paths

Data AnalystData Warehouse ManagerBusiness Intelligence Director

Related Entry Roles

Data AnalystBusiness Intelligence AnalystDatabase Administrator

Data Warehouse Specialist Skills & Development

Essential skills and professional development resources for data warehouse specialist, including technical abilities, soft skills, recommended courses, and ongoing learning opportunities.

Technical Skills

SQLETL ToolsData ModelingData Warehousing ConceptsDatabase Management SystemsBI ToolsCloud PlatformsData Governance

Soft Skills Needed

CommunicationProblem-SolvingAttention to DetailTeam CollaborationAdaptability

Recommended Certifications

Certified Data Management ProfessionalMicrosoft Certified: Azure Data Engineer AssociateAWS Certified Data Analytics - Specialty

Recommended Courses

Data Warehousing for Business IntelligenceThe Complete Data Warehouse Course

Development Resources

LinkedIn LearningCourseraedXPluralsight

Training Timeline

6-12months

Estimated training time

Frequently Asked Questions About Data Warehouse Specialist Salary

Common questions and answers about pursuing a career as a data warehouse specialist, covering qualifications, salary expectations, career prospects, and practical career guidance.

How Much Others Make?

Explore salary data for other professions to compare compensation across different career paths and industries.

Important Disclaimer

Salary information provided on this website is for general informational purposes only. Actual salaries may vary based on location, experience, education, industry, company size, and other factors. We strive to provide accurate data, but cannot guarantee the completeness or accuracy of all information. Please verify with official sources before making career decisions.