Senior Analytics Engineer

Company description

Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide. We help brands break down silos and turn data into decisive action through intelligence-driven, end-to-end solutions that unify media, content, operations and strategy. Powered by advanced AI, robust digital shelf analytics across 1,400+ retailers in 70 countries and unmatched expertise from digital commerce specialists in 15 global hubs, our integrated solutions help brands accelerate profitable growth.

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Profitero's Data Engineering team is looking for a Senior Analytics Engineer to own the transformation layer between our data ingestion pipelines and our business intelligence platform. This is a high-impact, high-ownership role at the center of our data stack – you will define how raw data becomes trusted, business-ready models that power decisions across the organization.

PLEASE NOTE:
This is a hybrid role based out of our offices in Lehi, Utah and will require onsite engagement an average of 1-2 days/week. All candidates should be local to or commutable to Lehi (including surrounding locations like Salt Lake City or other south Utah counties) and willing to commit to a hybrid schedule. Highly qualified candidates from other US-based locations who are willing to work a Mountain Time schedule may also be considered and are encouraged to apply.

ALSO

NOTE:

We are not able to provide sponsorship support for this role now or in the future. No third-party staffing agencies, please.

• Own the Transformation Layer
  • Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready datasets
  • Define and enforce dbt modeling standards, naming conventions, and testing practices across the team
  • Serve as the primary owner of the transformation layer, creating clear handoffs with upstream ingestion engineers and downstream BI developers
  • Proactively identify gaps in data coverage and work with sourcing teams to resolve them
• Accelerate Pipeline Delivery
  • Reduce transformation backlogs by building scalable, reusable model patterns that others can extend
  • Partner with Airflow/Dagster pipeline owners to ensure transformation DAGs are reliable, well-monitored, and efficient in Big Query
  • Identify and resolve performance bottlenecks in SQL transformations and Big Query query patterns
• Bridge Engineering and Analytics
  • Collaborate with BI developers and the Director of Business Intelligence to ensure Looker data sources are well-modeled and maintainable
  • Translate business requirements from stakeholders into reliable data models without requiring BI developers to work around messy upstream data
  • Help evolve manual QA processes toward automated dbt testing and data quality monitoring
• Mentor and Set Standards
  • Mentor junior and mid-level team members on analytics engineering best practices
  • Document data models, lineage, and transformation logic so the team can move faster and onboard new members with confidence
  • Contribute to SQL and business logic standards in collaboration with the Director of Data Engineering

• 5+ years of professional experience in data engineering, analytics engineering, or a similar role; prior experience working alongside the CPG, retail, and/or marketing industries preferred.
• Bachelor's degree in computer science, data analytics, information systems, or a related field preferred; experience may be substituted.
• Expert-level dbt skills including experience building and maintaining production dbt projects at scale including tests, documentation, and incremental models.
• Strong SQL and data modeling skills, particularly in Big Query or another columnar cloud data warehouse.
• Experience working across the full data pipeline from raw ingestion to BI-ready models.
• Familiarity with ecommerce, CPG, digital shelf, or retail media network data sources and analytics preferred.
• Experience with Airflow or Dagster for pipeline orchestration and Python for data pipeline tasks preferred.
• Familiarity with Looker or LookML preferred.
• Experience and familiarity with data quality frameworks, automated testing, or observability tooling preferred.
• Comfort operating with a high level of ownership, autonomy, and accountability.
• A natural sense of urgency with an ability to work quickly, efficiently, and accurately within tight deadlines and constantly evolving project parameters, scope, and goals.
• Flexible and adaptable with an ability to work successfully across multiple concurrent projects and competing priorities.
• Highly collaborative but independently capable.
• Exceptionally organized with a fanatical attention to detail.
• Strong written and verbal communication skills, both with technical and non-technical audiences.

• The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
• Paid Family Care for parents and caregivers for 12 weeks or more
• Monetary…