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Director Data Warehouse Analyst Jobs (NOW HIRING)

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

Data Warehouse & Analytics Specialist Location: Sandy, Utah (100% On-Site) Department: Research, Operations, and R&D About Challenger School Challenger School is an independent private school ...

TRC Talent Solutions

Warehouse Analyst

Whitsett, NC · On-site

Warehouse Data Analyst Position Overview TRC is seeking a highly analytical and detail-oriented Warehouse Analyst . This position plays a critical role in providing data-driven insights that help ...

KG Tiger

DATA WAREHOUSE DEVELOPER/ANALYST

Natick, MA

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User Experience data with our products. Through the new Marts supporting analysis of this data, the incumbent ...

New England Life Care

Data Warehouse Developer

Woburn, MA · On-site

$120 - $139/hr

This role will work closely with business stakeholders, analysts, and application teams to ... Perform additional duties or special projects as assigned by the direct supervisor. * Travel to ...

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How much do director data warehouse analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for director data warehouse analyst in the United States is $48.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Director Data Warehouse Analyst vs Data Warehouse Analyst?

AspectDirector Data Warehouse AnalystData Warehouse Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; often with leadership experienceBachelor's in Computer Science, Information Systems, or related field; certifications like CDMP are common
Work EnvironmentLeadership role overseeing teams, strategic planning, and project managementTechnical role focused on data analysis, database management, and reporting
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven industriesCommon in organizations with data infrastructure needs across industries

The main difference is that the Director Data Warehouse Analyst holds a leadership position with strategic responsibilities, while the Data Warehouse Analyst focuses on technical data analysis and management. Both roles require strong data skills, but the director role involves team oversight and strategic planning.

What cities are hiring for Director Data Warehouse Analyst jobs?

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What are the most commonly searched types of Data Warehouse Analyst jobs?

The most popular types of Data Warehouse Analyst jobs are:

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Director Data Warehouse Analyst jobs near you
Infographic showing various Director Data Warehouse Analyst job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $101,897 per year, or $49 per hour.

Data Warehouse Analytics Specialist

challenger

Sandy, UT

$17 - $21.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Data Warehouse & Analytics Specialist

Location: Sandy, Utah (100% On-Site)

Department: Research, Operations, and R&D

About Challenger School

Challenger School is an independent private school organization committed to providing exceptional education and fostering critical thinking, personal responsibility, and intellectual growth. Our Research & Development team supports data-driven decision making across the organization and is actively building modern analytics, data warehouse, semantic modeling, and AI-enabled capabilities.

Position Overview

Challenger School is seeking a Data Warehouse & Analytics Specialist to help build trustworthy, well-documented, AI-ready data assets that support reporting, analytics, research, and operational decision making.

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge between technical systems and business users by translating database structures, reports, and metrics into clear, consistent business definitions.

The ideal candidate enjoys working deeply with SQL/PYTHON, understanding how business metrics are calculated, documenting data definitions, resolving inconsistencies, validating reports, and helping create reliable data structures that can be used by analysts, business users, and AI systems.

This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.

Responsibilities

  • Analyze SQL/PYTHON queries, views, reports, source systems, and warehouse structures to understand how business metrics are calculated.
  • Trace data lineage from operational systems through data warehouse transformations, reporting layers, and semantic models.
  • Translate technical data logic into clear business definitions.
  • Develop and maintain business glossaries, data dictionaries, metric definitions, and metadata documentation.
  • Validate report outputs against source systems and warehouse data.
  • Support the development and maintenance of Snowflake semantic models.
  • Create and maintain mappings between business terminology and physical database structures.
  • Review and validate AI-generated SQL/PYTHON, analytics, and business insights.
  • Work with stakeholders to standardize business definitions and reporting logic.
  • Support data quality, reconciliation, governance, and AI-readiness initiatives.
  • Help prepare trusted data assets for natural-language querying, AI-assisted reporting, and future analytics initiatives.

Required Qualifications

  • Strong SQL/PYTHON skills.
  • Experience working with relational databases, data warehouses, or cloud data platforms.
  • Ability to understand complex query logic and data transformations.
  • Strong analytical and problem-solving abilities.
  • Excellent written communication and documentation skills.
  • Strong attention to detail.
  • Ability to work effectively with technical and nontechnical stakeholders.

Preferred Qualifications

  • Experience with Snowflake or similar cloud data warehouse platforms.
  • Business intelligence or reporting experience.
  • Experience documenting business rules, metrics, or data definitions.
  • Familiarity with semantic models, governed metrics, or metadata management.
  • Experience with Python for data analysis or validation.
  • Familiarity with AI-assisted analytics tools and workflows.

Ideal Candidate

The ideal candidate enjoys solving data puzzles, untangling complex business logic, identifying why reports disagree, and transforming technical information into clear business definitions. They are patient, precise, intellectually curious, and committed to data quality, consistency, and accuracy.

Benefits

  • Medical, dental, and vision insurance
  • 401(k)
  • Paid time off
  • Professional development opportunities
  • Long-term career growth in analytics, data warehousing, semantic modeling, data governance, and AI-enabled data systems

If you enjoy detailed analytical work and want to help build the foundation for data-driven decision making across a growing educational organization, we encourage you to apply.

#CSURGENT

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