Business Intelligence Engineer

AKASASouth San Francisco, CA
2d$150,000 - $190,000Hybrid

About The Position

The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement. As a Business Intelligence Engineer at AKASA, your work will be highly visible and critical for communicating the value of our latest generative AI based product offerings. You will leverage your SQL skills to build out content in our metrics layer, create useful and visually appealing content in our BI tool, and have your work directly consumed by both internal and external stakeholders. The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.

Requirements

  • BS in Computer Science, Data Analytics, or similar
  • 3+ years of analytics, BI engineering, Data Engineering, or similar experience
  • Strong professional experience in SQL
  • Professional BI Tooling experience (Tableau/Looker/Quicksight/SuperSet, etc)
  • Experience building out dashboards that clearly fulfill business needs
  • Ability to effectively communicate with both technical and non-technical stakeholders to translate their needs into reusable data platform assets
  • A delivery-focused mindset
  • A passion and excitement about healthcare’s unique challenges and opportunities

Nice To Haves

  • Python
  • Data Warehousing (Amazon Redshift preferably)
  • DBT
  • Healthcare Data (Revenue Cycle Management preferably)

Responsibilities

  • Further develop AKASA’s metrics layer by building SQL-based DBT pipelines running within the data warehouse (Redshift)
  • Build and maintain dashboards in AKASA’s current BI tool (SuperSet), demonstrating thoughtfulness to how this content will be leveraged by stakeholders
  • Establish ownership over the reporting and analytics content for at least one of AKASA’s core products
  • Take on ad hoc exploratory data analytics requests
  • Develop a deep understanding of healthcare data and AKASA’s core products, ultimately becoming an expert in both

Benefits

  • Flexible paid time off (PTO)
  • Expansive coverage for health, dental, and vision
  • Employer contribution to Health Savings Accounts (HSA)
  • Generous parental leave policy
  • Full employee coverage for life insurance
  • Company-paid holidays
  • 401(K) plan
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