Analytics Engineer

Posted 7 Days Ago
Hiring Remotely in United States
Remote
Mid level
Other
The Role
Design, build, and maintain the analytics layer and data models using Data Vault methodology. Develop ETL pipelines, optimize data warehouse performance and cost, collaborate with stakeholders, and support BI and data science consumption (DBT, Snowflake, Tableau/Power BI).
Summary Generated by Built In

Analytics Engineer  

Liveops is seeking an experienced Analytics Engineer (AE) to be a key contributor in helping transform our Analytics capabilities across the business.  The Analytics Engineer will be responsible for designing, building, and maintaining the analytics layer of our data environment to make data standardized and easily accessible across the organization. AE’s will use a combination of business strategy and technical data knowledge to translate complex information into clear and helpful visual representations known as data models. This person will have a solid understanding of data warehousing and data modeling concepts. The AE will report to the Manager of Business Intelligence which sits under the Finance team

 

The Purpose of Your Role 

The Analytics Engineer at Liveops plays a pivotal role in enhancing the company's analytics capabilities by creating insightful data-driven solutions. These solutions span to Data Consumers, BI Developers, Data Scientists and Enterprise Architects. Developing data models and optimizing data processes. This position involves close collaboration with stakeholders to meet their data needs, ensuring effective decision-making and strategic business support through the use of Data Vault Methodology. 

 

The Qualifications We’re Looking For 

  • Bachelor’s Degree in a quantitative or technical field or equivalent experience.  
  • 4 to 6 year’s experience in a data centric role using SQL. 
  • Experience with data design and development data modeling, data warehousing, and building ETL pipelines. (e.g., Snowflake and DBT.)  
  • Familiarity with BI tools (e.g., Tableau, Power BI)  
  • Strong business acumen with the ability to think strategically and work independently. 
  • Knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and their data-related offerings. 
  • Experience working in a version control system like Git. 
  • Excellent analytical and problem-solving abilities. 
  • Strong communication and collaboration skills. 
  • Bonus if you have experience building Apps in StreamLit 

 

The Competencies You Bring 

Attention to Detail * Individual Impact and Influence * Conceptual Thinking * Data Gathering & Analysis * Dealing with Ambiguity * Decision Making   

 

The Value You Deliver 

    • Play a critical role in the design, development, support, and continuous improvement of the Data Warehouse environment supporting internal and external stakeholders.   
    • Analyze complex data from multiple sources, determining configuration and connection methods for ingestion.  
    • Design Data Models and reports using DBT for external consumption  
    • Develop solutions for the entire organization according to best practices, and industry standards.  
    • Participate in an Agile Project Management style which runs on a 4-week cadence.  
    • Refine Data Models to improve performance and overall cost 
    • Work collaboratively with and understand the analytical reporting needs of business stakeholders. 
    • Effectively communicate technical subject matter to non-technical business stakeholders  
    • Work with disparate data sources and systems to facilitate a high-performance Data Warehouse environment 
 
 

 

Essential Job Functions 

Essential functions are the fundamental, crucial job duties that an employee must be able to perform, with or without reasonable accommodation. 

  • Ability to sit or stand at a desk for extended periods of time while working on a computer.  
  • Available for virtual meetings in a non-distracted environment.  
  • Ability to work independently and meet deadlines. 
  • Design, develop, and maintain the analytics layer of the data environment, ensuring standardized and accessible data across the organization. 
  • Collaborate with stakeholders to create data models and optimize data processes for effective decision-making and strategic business support. 
  • Analyze complex data sets, develop ETL pipelines, and refine data models to improve performance and reduce costs within the Data Warehouse environment. 
 

About Liveops 

Liveops is redefining what outsourced customer service means in a modern, always-on world, built on the belief that genuine connection drives brand loyalty. For over 25 years, we’ve paired cutting-edge technology with trusted, remote, and empathetic human expertise to deliver agile, high-touch customer support solutions that scale with precision and care. As pioneers in the flexible workforce model, we bring global reach with unmatched adaptability—helping brands meet customer needs, anywhere, anytime. From complex interactions to seasonal surges, we proudly serve Fortune 500 and enterprise clients—delivering personalized experiences that earn trust and drive lasting impact. It’s not outsourcing; it’s outsmarting. To learn more, visit . 

 

Eligibility Requirements 

Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas now or in the future.   

 

Equal Opportunity Employer

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Top Skills

Sql,Snowflake,Dbt,Tableau,Power Bi,Aws,Azure,Google Cloud,Git,Streamlit,Data Vault,Data Warehouse,Etl
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The Company
HQ: Scottsdale, AZ
1,779 Employees
Year Founded: 2000

What We Do

Liveops, a virtual contact center, solves enterprise customer experience challenges by offering an agile, skilled workforce. This Virtual Flex model reimagines agent engagement and scheduling that attracts a better agent profile equipped to meet the fluctuations in contact volume at scale. Our 20 years of expertise pioneering a virtual model across industries is proven to deliver superior customer experiences, faster program readiness and increased revenue compared with traditional contact centers or other work-from-home models. We relentlessly pursue our mission to improve the lives of agents, our clients and employees.

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