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Hourly Data Analytics Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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

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.

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.

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 ...

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:

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 ...

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 ...

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 ...

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 ...

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:
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, Specialist

Vangard, Inc.

Scottsdale, AZ

Full-time

Re-posted 20 days ago


Job description

PW Growth Strategy Analytics is growing! We're opening a new role to support some of the most important questions facing the Personal Wealth business-how we drive growth, retain clients, and plan for what's next. As part of this horizontal analytics team, you'll partner closely with both Client Segment leaders and work across key workstreams including Cash Flow, Retention, and Forecasting. The role spans a wide range of analytical work, from ownership of core metrics and reporting to deeper driver analysis, timeseries modeling, and AI/ML solutions that help inform growth and retention strategy for the division. If you enjoy variety, close business partnership, and seeing your work directly influence decisions, this role has plenty to offer.

Core Responsibilities

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for enterprise-wide strategic initiatives.

  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness. Leads the development of data quality standards, and the tools and methods used to measure and improve data quality.

  • Performs analyses of data from multiple sources to surface trends and insights using advanced analytical methods and machine learning. Validates analytical techniques employed by other analysts.

  • Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for senior leader stakeholders to implement.

  • Develops, owns and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data visualization best practices.

  • Develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Stays abreast of emerging trends and external best practices. Participates and presents during scheduled analytics seminars.

  • Participates in special projects and performs other duties as assigned.


Qualifications

  • Minimum of 8 years related work experience.

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Expertlevel SQL with experience building, validating, and maintaining complex queries and datasets used for executive reporting and analysis.

  • Strong Tableau skills, including designing intuitive, businessready dashboards and translating complex data into clear, actionable insights.

  • Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML libraries).

  • Proven data science skillset, including:

    • Driver and rootcause analysis

    • Timeseries forecasting and trend analysis

    • Segmentation and exploratory modeling

    • Applying AI/ML techniques to real business problems

  • Ability to partner closely with business stakeholders to translate ambiguous questions into structured analyses and clear recommendations.

  • Comfortable working across reporting and deepdive analytics-owning both the "what happened" and the "why it happened / what's next".

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.