IPS is looking for a Senior Analytics Engineer to will play a crucial role in designing, building and maintaining reliable and scalable data pipelines to collect, transform, and store large volumes of data from various sources. 

This role will be highly cross-functional and work closely with Product, Engineering, Marketing, and Sales.

Role Responsibilities:

• Partner with product, business, and engineering teams to identify data needs, define metrics, and enable data-driven decision-making
• Design, build, and own scalable data pipelines and data models that power analytics, reporting, and product insights
• Develop and maintain core datasets for financial and usage behavioral analytics, enabling deep understanding of customer behavior, product adoption, and business performance
• Help define, instrument, and validate product and business metrics, including those exposed in customer-facing dashboards
• Drive improvements in data quality, reliability, and observability, including ownership of SLAs for critical pipelines
• Collaborate with engineering teams to evolve data models alongside product changes
• Contribute to the definition of our analytics layer (e.g., dbt models, semantic layer, metric definitions)
• Create and maintain clear technical documentation and data contracts

Qualifications: 

• 5+ years of experience in data-focused roles (Analytics Engineering, Data Engineering, or similar)
• Strong experience modeling data for analytics, especially financial metrics and user behavior/product usage data
• Advanced SQL skills and experience designing well-structured, scalable data models
• Experience building and maintaining data pipelines in modern data stacks
• Hands-on experience with Snowflake, Redshift or BigQuery and familiarity with dbt  (strong plus)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Proficiency in at least one programming language (e.g., Python or R)
• Experience with BI tools such as Tableau or Looker and AI Analytics platforms like Hex
• Strong analytical mindset with the ability to investigate data inconsistencies and ensure data integrity
• Ability to communicate effectively with both technical and non-technical stakeholders and translate business needs into data solutions

About You: 

• You take ownership and pride in building reliable, high-quality data systems
• You have a strong product and business mindset, not just technical execution
• You’re curious and proactive, always looking to improve how things work
• You enjoy collaborating across teams and helping others make better decisions with data
• You bring a growth mindset and continuously look for ways to evolve your craft
• You’re fun to work with: we take our work seriously, but not ourselves

Benefits/Offerings: 

• Full Medical/Dental/Vision coverage with 100% employer contribution, FSA, and an HSA for qualified plans
• Competitive compensation + meaningful equity
• 401(k) plan
• Work from anywhere in the US, with UberEats and Deskpass stipends—on us!
• Generous annual stipend for Learning & Development
• Health and Wellness stipend
• Unlimited PTO, 10 holidays, 4 personal volunteer days, 4 mental health days, and birthdays off
• Paid parental leave
• Subsidized National Parks Annual Pass
• Subsidized Roller Skates (yes, seriously)

If you're interested in this position, please apply here or email brie@integritypowersearch.com.