Data Analytics Engineer Jobs in Arizona
Data Analytics Engineer jobs in Arizona are in strong and steady demand, with concentrated hiring in the technology, financial services, healthcare, and semiconductor manufacturing sectors and openings at every level from entry-level analyst to senior data engineer. Phoenix, Scottsdale, and Tempe are the primary hiring hubs, where companies like Intel, Banner Health, and American Express have deep and lasting presences and consistently recruit data analytics engineers. The most sought-after specialties in the Arizona market include cloud data pipeline development, business intelligence architecture, and real-time analytics for healthcare and fintech applications. Find a role that fits below and apply directly.
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Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
In this highly visible and impactful role, you will lead workforce forecasting and capacity planning for a dynamic multi-skill, multi-channel contact center environment. You will own the demand forecast, staffing models, and capacity plans that support operational performance, advisor experience, and financial outcomes.
This role is ideal for a workforce management leader who understands contact center operations and enjoys translating business strategy into staffing plans, service level outcomes, and workforce investments. Success requires balancing analytical rigor with practical operational decision-making.
Responsibilities:
Responsible and accountable for the creation and maintenance of enterprise contact center demand forecasts and staffing models.
Support the development and continuous improvement of long-term and short-term forecasts
Design and maintain capacity models that inform workforce strategy, hiring plans, and budget planning.
Translate complex data into clear and actionable insights and executive reporting.
Partner with Operations, HR, and Finance to align workforce plans with business objectives.
Ensure forecasting and planning processes are transparent, repeatable, and data-driven.
Maintain strong feedback loops with scheduling, real-time, and reporting teams.
Serve as a thought leader on workforce strategy, bringing innovation and best practices to the function.
Anticipate future business and workforce needs and recommend proactive solutions.
Support change management efforts by helping leaders navigate organizational and business changes.
Influence stakeholders across varying perspectives to build alignment, drive decision-making, and achieve desired business outcomes.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.
Requirements:
10+ years of workforce management experience with emphasis on forecasting and capacity planning in a contact center environment.
Demonstrated expertise in forecasting, capacity planning, staffing strategy, shrinkage management, occupancy, and service-level performance.
Experience supporting multi-skill, multi-channel contact center operations.
Proven success leading teams and/or large workforce planning initiatives.
Expertise with workforce management platforms and analytical tools such as NICE IEX, Excel, Power BI, or similar solutions.
Strong business acumen and stakeholder influence skills.
Bachelor’s degree or equivalent experience.
Core Competencies:
Workforce Management Expertise: Deep understanding of forecasting, staffing, scheduling, shrinkage, occupancy and workforce planning best practices.
Operational Acumen: Strong understanding of contact center operations and associated KPIs.
Strategic Thinking: Ability to develop and execute long-range workforce strategies.
Communication & Influence: Leverage data, business insights, and compelling storytelling to translate complex information to clear, actionable recommendations.
Preferences:
Experience working with the NICE suite of contact center programs (IEX, CXOne, Nexidia, ESP).
Omni-channel, back office, and digital channel forecasting and modeling.
Familiarity with CRM data from platforms such as Salesforce and MS Dynamics.
#LPL-H1
Pay Range:
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
See All 14 Data Analytics Engineer Jobs in Arizona
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
What Arizona Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Arizona.
- Bachelor's degree in computer science, statistics, information systems, or a related field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Experience designing and maintaining data pipelines and ETL or ELT workflows
- Hands-on knowledge of cloud data platforms such as Snowflake, Databricks, or Azure Synapse
- Familiarity with BI and visualization tools including Tableau, Power BI, or Looker
- Strong grasp of data modeling concepts including dimensional modeling and schema design
Data Analytics Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a data analytics engineer in Arizona?
There is no state-issued license required to work as a data analytics engineer in Arizona, so the path runs through education and demonstrated technical skill. Most Arizona employers look for a bachelor's degree in computer science, data science, statistics, or information systems. Building a portfolio of data pipeline or analytics projects strengthens any application, and industry certifications from providers like Databricks, Google Cloud, or Microsoft Azure are widely recognized by Arizona hiring teams, particularly in Phoenix's large tech and financial services corridor.
How much do data analytics engineers make in Arizona?
Data analytics engineers in Arizona earn a median of about $107,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,200 for the lowest 10% to over $161,730 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Arizona?
Employers hiring data analytics engineers in Arizona right now include American Express, Raytheon, and AT&T, based on current listings on Migrate Mate as of September 2026. Arizona's mix of semiconductor manufacturers, regional banks, and large health systems creates consistent demand for data analytics engineers with both technical depth and domain knowledge in those industries.
Which Arizona cities have the most data analytics engineer jobs?
Phoenix, Tucson, and Tempe lead Arizona in data analytics engineer openings. Phoenix anchors the market as the state's commercial and technology center, home to major financial services firms, health systems, and semiconductor campuses that all run large data operations, while Scottsdale and Tempe contribute through their dense concentrations of fintech startups, corporate headquarters, and university-affiliated research activity.
Are there remote data analytics engineer jobs in Arizona?
Yes, and more than most fields. About 100% of data analytics engineer openings tied to Arizona are remote or hybrid as of September 2026, reflecting how thoroughly the role's core work, pipeline development, data modeling, and analytics, translates to distributed teams. The parts of the job most consistently offered remotely are cloud infrastructure work and BI development, while roles requiring close collaboration with on-site operations teams tend to expect at least a hybrid schedule.
How can I get hired as a data analytics engineer in Arizona with little or no experience?
The most realistic entry path is a data or analytics analyst role at one of Arizona's large healthcare or financial services employers, where the work closely overlaps with data engineering and internal movement into engineering titles is common. Banner Health, Vanguard's Scottsdale campus, and Intel's Chandler facilities each run structured new-graduate and associate programs that accept candidates without professional experience. Building and publishing a personal project portfolio using public datasets, along with an entry-level cloud certification from Google or Microsoft, gives Arizona applicants a concrete edge over candidates who have only coursework to show.
Where can I find and apply to data analytics engineer jobs in Arizona?
You can find and apply to data analytics engineer jobs in Arizona on Migrate Mate, which lists current openings from employers hiring in the state. Find roles that fit your experience and location and apply directly.
See All 14 Data Analytics Engineer Jobs in Arizona
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