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PDQ

Senior Analytics Engineer

full-time•South Salt Lake

Summary

Location

South Salt Lake

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role


Job Description  

  • Before you apply, please note:
    • This is a hybrid-role open to candidates in the Salt Lake City, UT area with an expectation of three in-office working days at our South Salt Lake City headquarters.    

 

As a Senior Analytics Engineer at PDQ, you will design, build and maintain data pipelines while conducting deep analytics analysis to provide key insights for stakeholders. Responsibilities associated with this role blend data engineering, like building ELT (Extract, Load, Transform) processes, with data analysis and reporting, to ensure that clean, structured data is available for business stakeholders and internal teams. You will work in strategic partnership with Revenue Operations, Sales, Product and Finance to ensure efficient data infrastructure that informs impactful data-driven decisions.   


What you'll be doing: 

  • Designing, developing, and optimizing ELT processes to ensure the smooth flow of data across systems.  
  • Maintaining and improving data pipelines using tools like dlt and dbt inside of Snowflake. 
  • Validating and monitoring practices to ensure data quality, integrity, and consistency.  
  • Collaborating with teams to integrate data sources and enable real-time data processing.  
  • Conducting exploratory data analysis (EDA) to uncover trends, patterns, and insights that support business objectives.  
  • Building dashboards, reports, and visualizations using Sigma.  
  • Analyzing large datasets to provide actionable insights and recommendations to stakeholders.  
  • Performing statistical analysis and modeling to support business needs.  
  • Working cross-functionally across PDQ teams to understand data requirements and translate them into technical specifications.  
  • Continuously monitor and improve database performance, ensuring data is accessible and reliable.  


We're looking for people who have: 

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. A master’s degree is a plus.  
  • 5+ years of experience as a Data Analyst, Data Engineer, or a similar role in a data-driven environment (SaaS B2B experience a plus!)  
  • Experience in building and optimizing data pipelines, architectures, and databases.  
  • Strong proficiency in SQL for querying large datasets and performing data manipulation.  
  • Experience with scripting languages such as Python, R, or Scala for data analysis and engineering.  
  • Familiarity with ELT best practices and tools.    
  • Hands-on experience with data visualization tools (e.g.,  Sigma, Omni, Metabase).  
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud) and their data services (e.g., Snowflake, Trino).  


Who you are: 

  • Strong problem-solving abilities and attention to detail. 
  • Excellent communication skills to present complex data insights to non-technical stakeholders.  
  • Ability to work in a fast-paced, collaborative environment with multiple stakeholders.  


Tools we use: 

  • Slack 
  • Zoom   
  • Microsoft Office Suite (Excel, PowerPoint, Word)   
  • GitHub Actions 
  • dbt 
  • Sigma 
  • dltHub 
  • HighTouch 


PDQ Perks & Benefits: 

 

PDQ offers all of the great perks and benefits you'd expect from working at a very cool tech company, and even some you might not expect, including: 

  

  • 4-Day Work Week 
  • Equity
  • Managers who champion professional development  
  • 100% Premium Coverage for medical, dental and vision for you and your dependents 
  • 100% Premium Coverage for Short Term Disability, Long Term Disability, Life, and AD&D Insurance 
  • Company Match of the first 6% of your employee deferrals  
  • Flexible Paid Time Off Policy that treats you like the adult that you are 
  • Health Savings Account (HSA) and wellness incentives 
  • Quarterly Company Values Award (team member nominated) 

 

PDQ is proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. If you would like to request reasonable accommodation for a medical condition or disability during any part of the application process, please contact [email protected]. 

 

The majority of PDQ's full-time roles do not qualify for sponsorship of employment visas such as the H-1B visa. This applies to scenarios where a candidate might possess temporary work authorization during their schooling or after graduation (e.g., CPT, OPT), but would require H-1B visa sponsorship within a few years of employment to retain eligibility for employment.  

What you'll do

  • As a Senior Analytics Engineer, you will design, build, and maintain data pipelines while conducting deep analytics analysis to provide key insights for stakeholders. You will collaborate with various teams to ensure efficient data infrastructure that informs impactful data-driven decisions.

About PDQ

PDQ is device management for sysadmins, by sysadmins, that's simple, secure, and pretty damn quick. Streamline your patch management and software deployment processes — whether you manage 50 machines or 5,000. PDQ is proud to power SimpleMDM and SmartDeploy along with PDQ Deploy & Inventory, PDQ Connect, and PDQ Detect. PDQ Deploy Free yourself and your team from pesky, repetitive tasks by unlocking powerful automations so everyone can focus on more important things with PDQ Deploy. Update third-party software, deploy custom scripts, and make impactful configuration changes in minutes. PDQ Inventory Streamline your systems management with PDQ Inventory. Scan, collect, and organize your machines so deployments go exactly where you need them to. It truly is the MacGyver of sysadmin tools. PDQ Connect Deploy packages in just a few clicks, automate repeat tasks, and get instant insights — from the cloud. PDQ Detect Avoid wasting time on vulnerabilities that will never meaningfully impact your organization. Secure your Windows, Apple, and Linux devices by prioritizing the highest-risk vulnerabilities. Visit our website, PDQ.com, for a free download and check out our YouTube channel to get the most out of your newly installed PDQ software. Interested in career opportunities? Come work for an award-winning company for workplace culture and benefits. Apply now: https://www.pdq.com/careers/

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Frequently Asked Questions

What does a Senior Analytics Engineer do at PDQ?

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As a Senior Analytics Engineer at PDQ, you will: as a Senior Analytics Engineer, you will design, build, and maintain data pipelines while conducting deep analytics analysis to provide key insights for stakeholders. You will collaborate with various teams to ensure efficient data infrastructure that informs impactful data-driven decisions..

Is the Senior Analytics Engineer position at PDQ remote?

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The Senior Analytics Engineer position at PDQ is based in South Salt Lake, Utah, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Analytics Engineer position at PDQ?

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You can apply for the Senior Analytics Engineer position at PDQ directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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