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Hourly Data Analytics Jobs in Arizona (NOW HIRING)

Data Analytics Engineer

Phoenix, AZ ยท On-site

$110 - $160/hr

# Data Analytics EngineerWe're building a modern analytics practice that goes beyond dashboards. This role will create **revenue-focused sales analytics** using **ERP + non-ERP sources** (customer POS ...

New

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

Sr. Data Analytics Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably ...

Sr. Data Analytics Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably ...

PW Growth Strategy Analytics is growing! We're opening a new role to support some of the most ... Leads the development of data quality standards, and the tools and methods used to measure and ...

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

Data Analyst

Tucson, AZ ยท On-site

$78K - $98K/yr

Design, develop, test, deploy and enhance custom data structures, datasets, analytics dashboards, and reporting solutions. Utilizing agile development methodology, deliver high quality, accurate and ...

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.

Data Analyst

Phoenix, AZ ยท 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 ...

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.

Data Analyst I

Tucson, AZ ยท On-site

$24.16 - $36.24/hr

Identifies business intelligence, reporting, and data analytics needs at the department-level by ... Hourly Range $24.16 - 36.24 USD The City of Tucson considers several factors when extending an ...

Deliver Solutions - Partner with development teams to implement analytics templates and processes ... Monitoring data integrity for accuracy in reporting. * Utilizing broad understanding of all ...

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Showing results 1-20

Hourly Data Analytics information

What is 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 Analytics Engineer

Traka (Assa Abloy)

Phoenix, AZ โ€ข On-site

$110 - $160/hr

Other

Posted 2 days ago

New


Job description

# Data Analytics EngineerWeโ€™re building a modern analytics practice that goes beyond dashboards. This role will create **revenue-focused sales analytics** using **ERP + non-ERP sources** (customer POS, CRM, industry data, spreadsheets, and other structured/unstructured sources), and will establish reusable analytics foundations (certified datasets, standardized metrics, semantic layer) that reduce ad-hoc reporting and democratize insight generation.This is an in-office position in Phoenix, Arizona.**ESSENTIAL FUNCTIONS & RESPONSIBILITIES**To perform this job successfully, an individual must be able to perform each essential function satisfactorily:**A) Sales revenue analytics & decision enablement (first 6 months priority)*** Partner with Sales and Finance to build a differentiated **sales analytics product** that improves decision-making on revenue drivers (e.g., pricing/discounting, mix, customer/segment performance, channel).* Create executive-ready insight narratives and repeatable analytic โ€œdecision frameworksโ€ (driver trees, leading indicators, KPI hierarchies).* Integrate and reconcile new sources beyond ERP (e.g., customer POS feeds, CRM, external/industry signals, customer master enrichment, spreadsheets) into governed analytical datasets.**B) Analytics engineering: data products, semantic layer, and standardized metrics*** Design and own curated analytics datasets and reusable dimensional models that become a โ€œsingle source of truthโ€ for Sales and Finance analytics.* Establish and enforce consistent KPI definitions via a **metrics/semantic layer** approach (define metrics once, reuse everywhere).* Implement testing, documentation, and data-quality practices so stakeholders trust and adopt the analytics outputs.**C) Self-service enablement & analytics democratization*** Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns that allow business users to self-serve safely.* Establish training/enablement (office hours, best-practice templates, โ€œhow to useโ€ documentation) and analytics community rituals.**D) Lead the Analytics COE / Community of Practice (roadmap ownership)*** Build an Analytics COE operating model that is **not** a report factory and **not** a help deskโ€”focused on standards, adoption, and scalable enablement.* Produce and manage a 12 to 18-month roadmap for analytics capabilities (platform patterns, data products, priority domains, adoption metrics).**E) Modern tooling & innovation (governed)*** Implement analytics CI/CD patterns (e.g., version control, release discipline, peer review) to scale reliably.* Introduce modern techniques/tools where they improve time-to-insight and adoption, including governed AI-assisted analytics experiences supported by trusted semantic metrics.**QUALIFICATIONS**The requirements listed below are representative of the knowledge, skills, and/or abilities required for this position. **Education and/or Experience**:* 8โ€“10+ years in analytics/BI/data roles with evidence of **business impact** and cross-functional partnership.* Expert SQL + strong data modeling (facts/dimensions; performance-aware).* Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency).* Strong business acumen and ability to proactively propose analyses (not just take requirements).* Ability to mentor and lead technically (player/coach) and guide a data engineer.**What success looks like (6 months)**1. A **Sales revenue analytics** capability that integrates non-ERP signals and is actively used by Sales leadership for pricing/revenue decisions.2. Measurable **reduction in ad-hoc reporting** through certified datasets, templates, and defined intake/triage patterns.3. A functioning **Analytics COE/Community of Practice** with an agreed 12โ€“18-month roadmap and adoption goals.**Computer Skills*** Proficiency in MS Office* A background experience on SAP Business Objects, QlikView or Cognos, as well as knowledge of SharePoint, Access and JDE Enterprise One 9.0 is highly desirable.* Proficiency in word processing, spreadsheets, email and order processing software;* Strong relational database knowledge is a must. MS SQL Server 2008/2012/2014 development.* Understanding of reporting tools: SAP Business Objects XI, Cognos, QlikView, etc.* MS Analysis Services development* Knowledge of SSIS, store procedures, triggers, and performance tuning.* Strong knowledge and experience in the Software Development Life Cycle. SCRUM experience and certification is a plus.**Language Ability** * For business and safety reasons, ability to write reports and business correspondence in English and effectively present information and respond to questions from groups of managers, clients, customers, technicians, and assemblers in English.**PHYSICAL DEMANDS**Physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the job. While performing the functions of this position, the employee is frequently required to sit, stand, walk, stoop and kneel; use hands, reach with hands and arms; communicate clearly and effectively. The employee may also be frequently required to lift up to 10 pounds. **WORK ENVIRONMENT** The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position. The noise level in the work and shop environment is moderate to loud. While performing the duties of this position the employee may occasionally be required to work near fumes or airborne particles and toxic or caustic chemicals. The employee may also be required to work near moving mechanical parts.**We are the ASSA ABLOY Group** Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces โ€“ physical and virtual โ€“ safer, more secure, and easier to access.As an employer, we value results โ€“ not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions โ€“ supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.As we welcome new people on board, itโ€™s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.Application due2026-09-26FunctionIT, Telecom & InternetExperience levelMid-senior levelOffice presenceOnsiteLocationPhoenix, Arizona, United StatesApply #J-18808-Ljbffr