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Hourly Data Analytics Jobs in Arizona (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * 3+ years of experience in a data analytics role. * Proficiency in SQL, Python, R, or other ...

Raytheon

Factory Data Analytics Engineer

Tucson, AZ

$108K - $130K/yr

Create and maintain data visualization and statistical analysis tools that increase understanding of factory data. * Write scripts to convert non-standard test data (excel, access, text, etc.) into a ...

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

Requirements: * 4+ years of experience in data analytics with strong problem-solving skills ... Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

Quantix

Data Analyst

Phoenix, AZ

This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data management functions.

Quantix

Data Analyst

Phoenix, AZ

This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data management functions.

Lorven Technologies

Business Data Analyst

Phoenix, AZ · On-site

Work with Azure Data Lake, Azure Synapse Analytics, and related cloud platforms * Develop and maintain Power BI dashboards and reports * Perform data analysis to identify trends, patterns, and ...

Arizona State University

Data Analyst

Tempe, AZ · On-site

$37K/yr

Business and Data Analytics Time Type: Part time Max Pay - Depends on experience: $37,500.00 USD Annual Apply before 11:59 PM Arizona time the day before the posted End Date. Minimum Qualifications:

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

Collabera

Data Analyst

Phoenix, AZ

Performs data analytics on various processes and projects to measure post-implementation performance. Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings.

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Hourly Data Analytics information

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Arizona? The most popular types of Data Analytics jobs in Arizona are:
What cities in Arizona are hiring for Hourly Data Analytics jobs? Cities in Arizona with the most Hourly Data Analytics job openings:
Hourly Data Analytics jobs near you
Infographic showing various Hourly Data Analytics job openings in Arizona as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Data Analyst

Connexzia

Scottsdale, AZ

Full-time

Re-posted 6 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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