Senior Analytics Engineer at PDQ – South Salt Lake, Utah
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About This Position
About PDQ
PDQ, founded in Salt Lake City, UT, makes device management simple, secure, and Pretty Damn Quick. IT teams use our products to reduce complexity, improve efficiency, and enhance control in their unique environments. We are backed by TA Associates, a top-tier global PE fund. SimpleMDM and SmartDeploy are powered by PDQ.
PDQ's Mission: We make device management simple, secure and pretty damn quick.
PDQ's Core Values: Honesty, Ownership, Collaboration and Improvement.
Job Description
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 Data Analyst 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 ETL (Extract, Transform, Load) 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 ETL processes to ensure the smooth flow of data across systems.
Maintaining and improving data pipelines using tools like SQL and BigQuery within ETL frameworks.
Implementing validation and monitoring practices to ensure data quality, integrity, and consistency.
Collaborating with engineering 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 PowerBI.
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.
3+ 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 programming languages such as Python, R, or Java for data analysis and engineering.
Familiarity with ETL tools and frameworks (e.g., Airbyte, Apache Airflow, AWS Glue, Talend).
Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker).
Knowledge of cloud platforms (AWS, Azure, Google Cloud) and their data services (e.g., Redshift, BigQuery, Data Lake).
Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
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.
Slack
Zoom
Microsoft Office Suite (Excel, PowerPoint, Word)
- 4-Day Work Week
- 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)