Business Intelligence Engineer

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Part TimeJob Type

UnknownVisa

Blockchain, Web3, Cloud Infrastructure, SaaSIndustries

Requirements

The ideal candidate will have 2+ years of experience in strategic cross-departmental analytics and 2+ years of SaaS experience working in a data role. They should possess 2+ years of experience analyzing data using SQL and Python, along with proficiency in a visualization tool. Experience with Snowflake AI & ML studio, Hubspot, Salesforce, and Stripe is preferred. Advanced understanding of data visualization principles and experience navigating a fast-paced, dynamic working environment are also required. The candidate must be comfortable challenging requirements and communicating technical results to diverse audiences.

Responsibilities

The Business Intelligence Engineer will support a data-driven culture by developing data analyses to inform decision-making, optimize processes, and automate work. Responsibilities include defining and operationalizing company-wide KPIs, identifying patterns, and recommending actionable insights for product development and business growth. The role involves building meaningful dashboards, proactively understanding business challenges, testing hypotheses, and developing solutions leveraging Generative AI and LLMs. The engineer will pull, organize, and analyze data from multiple sources using tools like Metabase, Tableau, or Looker and SQL. They will design, architect, and develop data solutions, influence data strategies and roadmaps, and build efficient data solutions and scalable data model plans. Additionally, the role requires interfacing with data infrastructure, product, and engineering teams to build ETL and report generation frameworks, and delivering analytical results to various audiences.

Skills

SQL

Data Modeling

Business Intelligence

Data Analysis

Process Optimization

KPI Tracking

SaaS Metrics

MRR

ARR

CAC

LTV

Churn

ACV

NPS

QuickNode

Tools and services for Web3 developers

About QuickNode

QuickNode provides tools and services for developers creating Web3 applications in the blockchain space. Its main offerings include elastic APIs, analytics, and a knowledge base that help developers efficiently access blockchain data. QuickNode's services support various applications, such as decentralized finance (DeFi) apps, non-fungible token (NFT) DApps, and digital wallets, and are designed to handle high volumes of API requests with quick response times. This company stands out from competitors by simplifying access to blockchain data, including balances and transfer history, and by offering IPFS storage solutions. QuickNode's goal is to empower developers with a comprehensive toolkit that enhances their ability to build and innovate in the blockchain ecosystem.

Miami, FloridaHeadquarters

2017Year Founded

$99.1MTotal Funding

SERIES_BCompany Stage

Crypto & Web3Industries

51-200Employees

Benefits

Remote Work Options

Performance Bonus

Flexible Work Hours

Risks

Increased competition from providers like Alchemy and Infura threatens QuickNode's market position.

Rapid technological advancements could render QuickNode's offerings obsolete without innovation.

Regulatory scrutiny on blockchain operations may pose compliance challenges for QuickNode.

Differentiation

QuickNode offers elastic APIs with faster response times than competitors.

The company provides comprehensive tools for DeFi, NFT DApps, and digital wallets.

QuickNode's IPFS storage and QuickAlerts tool enhance data management and on-chain notifications.

Upsides

Increased adoption of Layer 2 solutions boosts demand for QuickNode's RaaS offerings.

QuickNode's expansion of supported networks attracts a wider range of developers.

The rise of serverless computing aligns with QuickNode Functions, enhancing infrastructure flexibility.

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