Senior Analytics Engineer

PDQ • South Salt Lake, UT

10h • Hybrid

About The Position

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.

Requirements

• 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).
• 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.

Nice To Haves

• SaaS B2B experience a plus!
• A master’s degree is a plus.

Responsibilities

• 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.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees