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Data Analytics Engineer Jobs in Phoenix, AZ (NOW HIRING)

B) Analytics engineering: data products, semantic layer, and standardized metrics*** Design and own curated analytics datasets and reusable dimensional models that become a "single source of truth ...

C) Analytics engineering: data products, semantic layer, and standardized metrics * Design and own curated analytics datasets and reusable dimensional models that become a "single source of truth ...

C) Analytics engineering: data products, semantic layer, and standardized metrics * Design and own curated analytics datasets and reusable dimensional models that become a "single source of truth ...

GCP Cloud Analytics Engineer

Tempe, AZ · On-site

$53.50 - $71.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. * 8 years data and analytics related ...

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.) * Minimum 3 years of hands on MLOps experience, specifically model ...

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Data Analytics Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Phoenix, AZ?

The most popular types of Data Analytics Engineer jobs in Phoenix, AZ are:

Infographic showing various Data Analytics Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Analytics Engineer

Phoenix, AZ • On-site

Other

Posted 13 days ago


Job description

# 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, 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 “decision frameworks” (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 “single source of truth” 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, “how to use” 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 desk—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**:* 8–10+ 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 12–18-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 – physical and virtual – safer, more secure, and easier to access.As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – 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, it’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