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Data Dimensions Jobs in Arizona (NOW HIRING)

Data Engineering

Phoenix, AZ · On-site

$91K - $204K/yr

Design and build dimensional data models, including facts and dimensions, determine appropriate table grain, and implement slowly changing dimensions where historical tracking is required. * Define ...

Data Engineering

Phoenix, AZ

$113K - $136K/yr

Design and build dimensional data models, including facts and dimensions, determine appropriate table grain, and implement slowly changing dimensions where historical tracking is required. * Define ...

Solid understanding of data warehousing and ETL concepts, including fact and dimension tables, star and snowflake schemas, full versus incremental loads, and Slowly Changing Dimensions (SCDs). * 1-2 ...

Solid understanding of data warehousing and ETL concepts, including fact and dimension tables, star and snowflake schemas, full versus incremental loads, and Slowly Changing Dimensions (SCDs). * 1-2 ...

... Data modeling, FACT and dimensions tables, physical and logical data modeling * Proficiency in writing SQL queries with at least 2 years of hands on experience. * Domain knowledge of capital markets ...

CNC Lathe Machinist

Tempe, AZ

$21.25 - $27.25/hr

Measure and document inspection data * Measure, document, maintain or improve on established production standards * Read and interpret almost all blueprint dimensions, symbols, and notes * Document ...

CNC Mill Machinist

Tempe, AZ

$21.25 - $28.50/hr

Measure parts, record inspection data, and meet or exceed production standards * Interpret complex blueprints, including dimensions, symbols, and notes * Track and document production counts

CNC Router Machinist

Tempe, AZ

$20 - $27.25/hr

Measure and document inspection data * Measure, document, maintain or improve on established production standards * Read and interpret almost all blueprint dimensions, symbols, and notes * Document ...

... Data modeling, FACT and dimensions tables, physical and logical data modeling Proficiency in writing SQL queries with at least 2 years of hands on experience. Domain knowledge of capital markets ...

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Data Dimensions information

What are Data Dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.
What are popular job titles related to Data Dimensions jobs in Arizona? For Data Dimensions jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Dimensions jobs? Cities in Arizona with the most Data Dimensions job openings:
Infographic showing various Data Dimensions job openings in Arizona as of June 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% In-person job distribution.

Channels & Experience Intelligence Expert

Globe Telecom, Inc.

Globe, AZ

Full-time

Posted 19 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Responsible in the extract of meaningful insights and recommendations from complex datasets to drive data-driven decision making within the organization. Works closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide valuable insights to support strategic initiatives and optimize business processes.

DUTIES AND RESPONSIBILITIES:

Product Data Strategy & Execution

  • Define and implement a data-driven approach to product decision-making.

  • Ensure data collection, tracking, and reporting are aligned with product goals.

  • Educate and evangelize data-driven decision-making, ensuring Product Managers and stakeholders have the skills and tools they need towards self serve Analytics platforms

Performance Monitoring, Data Communication and Storytelling

  • Track and analyze performance of business objectives and KPIs through creation and delivery of reports, dashboards, analytical studies and data models to key stakeholders to guide decisions and actions

  • Effectively communicate data insights to stakeholders through presentations, reports, and visualizations.

  • Translate complex data into actionable recommendations for product improvement.

User Behavior and Market Analysis

  • Benchmark product performance against competitors and industry standards.

Cross-Functional Collaboration

  • Collaborate with front-end CFUs and technical groups in translating product quality measures into data dimensions, attributes &/or schema

  • Manage relationships with 3rd party vendor/agency to establish win-win business partnerships

  • Support awareness, engagement and marketing analytics for customer value and retention KPI's

Data Governance & Tool Infrastructure Development and Management

  • Assess the current analytics infrastructure, identifying gaps and opportunities to implement scalable tooling, dashboards, and data frameworks.

  • Ensure data integrity, accuracy, and accessibility across analytics platforms.

  • Evaluate and implement new analytics tools and technologies to enhance data collection and analysis capabilities.

  • Contribute to the development of data infrastructure and pipelines to support product analytics needs.

TOP 3-5 DELIVERABLES:

  • Perform advanced data analysis using statistical techniques, data mining, and data visualization tools to uncover patterns, trends, and correlations within large datasets.

  • Reports automation and operationalization to ensure minimal manual work needed

  • Extract actionable insights and key findings from data analysis to inform business strategies, identify growth opportunities, and address business challenges.

  • Develop predictive models and algorithms to forecast future trends, identify potential risks, and optimize business performance. Communicate data insights effectively through clear and concise reports, dashboards, and presentations to stakeholders at various levels within the organization.

REQUIREMENTS:

  • Bachelor's degree in Business, Economics, Statistics, Computer Science (or comparable fields)

  • At least 3+ years of experience in an analytics &/or data science function

  • Proficiency in SQL, R or Python programming languages

  • Knowledge in data visualization tools such as Tableau and Looker Studio

  • Knowledge in database platforms such as Snowflake, BigQuery, MongoDB

  • Knowledge in Google Analytics, Firebase, App analytics, Social Media Analytics Tools

  • Knowledge in descriptive, diagnostic, predictive &/or prescriptive analytics

  • Strong problem-solving and critical thinking abilities to turn data into actionable insights.

  • Excellent communication and storytelling skills to translate complex data into business strategies.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.