Business Intelligence Engineer

Job Description

Job Description

QuickNode is a cloud-based infrastructure company that powers the blockchain ecosystem.

Our mission is to be the indispensable utility that empowers companies and innovators globally to build next-generation, Web3 enabled businesses & applications using blockchain technology. QuickNode is backed by some of the world's best investors including Tiger Global, Y Combinator, SoftBank, and the Seven Seven Six Fund. The QuickNode team has over 120 people maintaining high performance global data infrastructure for amazing customers serving billions of requests daily.

We are a global remote company with an HQ in Miami, Florida.

The Role

As a Business Intelligence Engineer at QuickNode, you will have the opportunity to work directly with all business functions, from IC to VP-level stakeholders.

This role will fall under the DANA (Data Analytics and Automation) team, your primary responsibility is to support a data-driven decision-making culture within Quicknode. Additional day-to-day work will include developing data analyses to help inform and optimize decision-making, process optimization, and automating work. Defining and operationalizing the tracking of company-wide and department-specific KPIs, identifying patterns, and recommending actionable insights to improve how we build products and grow the business.

This role will be reporting directly to our Data Engineering Manager together you will identify ways to provide insightful access to all teams. The ideal candidate will have a background in working at startups, specifically “SaaS” companies and have dealt with a variety of industry-standard metrics such as MRR, ARR, CAC, LTV, Churn, ACV, NPS, and more.

The ideal strengths we are looking for in this candidate are strong SQL and data modeling skills. This role will wear multiple hats and sometimes have to fill the role of an analytics engineer. Additionally, this role often requires handling multiple ad hoc requests weekly, necessitating frequent context switches. The candidate must be adept at managing this rapid pace and shift in direction without losing focus and productivity.

Another primary objective of this role is to enable self-service reporting further, reducing the team's overall workload.

What You’ll Do :

Building meaningful dashboards that are used frequently.

Proactively understanding business challenges and testing hypotheses for business recommendations.

Develop solutions that leverage Generative AI and Large Language Models (LLMs) to streamline and optimize processes and surface analytical insights.

Pull, organize, and analyze relevant data from multiple sources, using tools such as Metabase Tableau or Looker and SQL.

Design, architect, and develop data solutions that help product and business teams make data-driven decisions.

Influence data strategies and overall roadmap for building efficient data solutions and scalable data model plans.

Interface closely with data infrastructure, product, and engineering teams to build and extend cross-platform ETL and reports generation framework.

Deliver analytical, survey, or research results to technical and non-technical audiences and conduct ad hoc reporting as needed.

What You’ll Bring

2+ years of experience in strategic cross-departmental analytics.

2+ years of SaaS experience working in a data role.

2+ years analyzing data using SQL & Python in addition to a visualization tool.

Experience with Snowflake AI & ML studio (preferably but not required).

Working knowledge of Hubspot, Salesforce and Stripe.

Advanced understanding of data visualization principles.

Experience navigating a fast-paced, dynamic working environment.

Experience communicating technical results to technical and non-technical audiences across all levels of an organization.

You are comfortable with challenging requirements.

The US base salary range and level for this position are $103,000 - $114,000 per year and level P1. International ranges, in local currency, will be discussed during the hiring process with applicable candidates. This role is eligible for a quarterly bonus tied to company and individual goal achievement. We consider years of experience, level of proficiency in job function, the technical competencies required and location when determining base salary ranges for positions and levels.

The QuickNode compensation philosophy includes pillars to ensure fair and unbiased compensation for all employees. To design and deliver total reward offerings that are employee-centric. To offer a competitive benefit package in all locations where we operate. To prioritize attracting and retaining the best talent globally. To maintain a high-performing and flexible way of working.

During the hiring process, we are committed to discussing compensation openly and honestly. We encourage candidates to share their salary expectations and requirements early, allowing for an individualized discussion. We know that our total rewards practices impact the lives and wellbeing of our employees. Therefore, we will never stop learning about the market, our business, your needs, and how best to achieve our goals through thoughtful and data-driven practices. If you have any questions or require further information about the compensation for this position, please don't hesitate to reach out to your Recruiter.

We at QuickNode are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.