About Supportiv

Supportiv is a peer-to-peer mental and emotional well-being platform that actively helps users with their everyday struggles, 24/7/365, at 1/10 the cost of therapy for proper accessibility. Powered by patented AI and Natural Language Understanding (NLU), our platform matches users with dynamic, moderated peer groups in under a minute and provides real-time hyper-relevant resources.

Supportiv serves top employers and health plans, including Fortune 10 companies. 92% of users rate the experience 4 or 5/5 stars, and our proprietary outcomes measurements are unmatched in the industry.

We’re now looking for a Business Intelligence and Data Engineer to help us unlock the full potential of our data for internal insights, client reporting, and impactful business decisions.

About The Job

As a BI and Data Engineer, you will:

Build and maintain data pipelines: Consolidate data from tools like Mixpanel, Google Analytics, and Firestore into BigQuery for efficient storage and analysis.
Develop business intelligence solutions: Design and implement Looker dashboards to drive actionable insights and client reporting.
Collaborate across teams: Work with product, engineering, and business stakeholders to gather requirements and deliver impactful data solutions.
Ensure data quality: Validate and monitor data pipelines to maintain accuracy, reliability, and performance.
Tell stories with data: Translate complex datasets into meaningful narratives that drive business outcomes.
Innovate: Identify opportunities to improve efficiency, scalability, and data accessibility for all teams.

Your Experience And Skills

Technical Expertise:

5+ years of experience with SQL and building ETL pipelines.
Experience with data warehousing solutions, preferably BigQuery.
Proficiency with Looker or similar BI tools (e.g., Tableau, Power BI).
Familiarity with Google Analytics, Mixpanel, or similar analytics platforms.
Experience with cloud computing technologies, especially Google Cloud Platform (GCP).
Experience with Python or other programming languages for data workflows.

Business Intelligence Acumen:

Proven track record of creating dashboards and reports tailored for diverse audiences.
Strong understanding of data storytelling and business impact.
Experience defining and implementing KPIs and success metrics for business units.

Soft Skills:

Excellent communication and interpersonal skills to collaborate with technical and non-technical stakeholders.
Strong problem-solving mindset with an eye for process improvement.

Bonus Points for:

Knowledge of Logz.io, Sentry, or similar tools.
Background in agile methodologies.

Why Join Supportiv?

Competitive compensation package with equity for eligible roles.
Comprehensive health benefits for you (100% paid) and your dependents, including vision and dental.
401k with vested match.
Fully remote and location agnostic within US time zones.
Flexible work, time-off policies, and company-wide PTO periods.
Free, unlimited use of Supportiv’s peer support platform.
Dedicated learning and development budget.
In-person team gatherings for team building and camaraderie.

Interview Process

[15 min] Initial screen.
[1 day] Take-home technical challenge.

In-depth interview stages:

[45 min] Technical interview 1: Deep dive into background and work experience.
[45 min] Technical interview 2: Case study.
[30 min] Values, leadership, and cultural fit interview.

[30 min] Final debrief with the CEO.
Reference checks and offer.

How To Apply

Please apply through this BambooHR link. Thank you!

Engineering jobs in San Francisco

Business Intelligence and Data Engineer