Data Engineer - Customer Analytics Team

Requisition ID: 17183

 

Join us in building a better future for Arizona!

SRP is one of the largest public power and water utilities in the U.S. providing electricity to approximately one million customers in the greater metropolitan Phoenix area. Since its founding in 1903, SRP has fostered a culture of stewardship and customer service consistently ranking as an industry leader in customer service according to J.D. Power and named one of Arizona's best employers by Forbes. SRP continues to adapt to its changing business environment by seeking innovative ways to reimagine utility service and the provision of critical resources essential to the life and economy of Arizona.

 

Why Work at SRP

At SRP, we foster an inclusive work environment and believe everyone should have a fair chance to work, regardless of who they are. That’s why we value teams with diverse perspectives, experiences, and backgrounds to help SRP deliver on its mission of providing reliable, affordable and sustainable water and power.

 

SRP's success is rooted in our employees' happiness, health, and safety. That's why we offer a comprehensive benefits package to meet the needs of our employees and enhance their well-being. In addition to competitive pay and performance incentives, eligible employees can take advantage of the following benefits:

 

• Pension Plan (at no cost to the employee)
• 401(k) plan with employer matching
• Available your first day: Medical, vision, dental, and life insurance
• Over 200+ hours of PTO (includes vacation days, holidays, floating holidays, and sick leave)
• Parental leave (up to 4 weeks) and adoption assistance
• Wellness programs (including access to a recreation and fitness facility)
• Short and long-term disability plans
• Tuition assistance for both undergraduate and graduate programs
• 10 Employee Resource Groups for career development, community service, and networking

 

Summary

The Customer Analytics team is dedicated to empowering the Customer Services organization with actionable insights. The team analyzes data, identifies trends, and provides strategic recommendations to enhance customer satisfaction, optimize processes, and drive informed decision-making. The team's mission is to enable exceptional customer experiences through data-driven excellence.

As a Data Engineer on this growing team, your role is to be an expert at understanding SRP's data and then use it to create meaningful models and solutions. You will create and support data models, data flows, virtual models, and algorithms, to solve interesting business problems for data analysts, data scientists, and business users.  The successful candidate will be a sharp coder that can identify patterns in complex data, enjoys making information more accessible and easier to use for analytics, likes to think of clever ways to solve tricky data problems, and loves working with people.  

In this role, you will work alongside other Data Engineers, Data Scientists, Analytics Developers, Business Analysts, and Application Developers.

What You'll Do

•    Turn business requirements into technical requirements, data designs, models, and solutions.
•    Find and understand the correct data sources for a given analysis.
•    Create and maintain optimal data pipeline architecture.
•    Assemble large, complex data sets that meet functional / non-functional business requirements.
•    Build the data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using modern techniques, platforms, and tools.
•    Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing dataflows for greater scalability, etc.
•    Build analytics tools that utilize the data pipeline to provide actionable insights into customer experience, operational efficiency, and other key business performance metrics.
•    Work with stakeholders to assist with data-related technical issues.
•    Create data tools for analytics and data scientist team members that assist them in building and optimizing innovative solutions.

 

What It Takes To Succeed

The successful candidate will possess these capabilities:
•    Experience developing and/or maintaining: data models, ETL/ELT, queries, and data science models in a business analytics, data warehousing or business intelligence setting 
•    Able to translate business needs and data into models that support KPIs, visualizations, or interactive dashboards that influence behavior 
•    Experience with reporting and visualization tools 
•    Curiosity and passion about utilizing analytics and data to solve problems 
•    Willing to ask questions a