Senior Data Analyst

Job not on LinkedIn

November 13

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Logo of Castle Funds

Castle Funds

Fintech • B2C • eCommerce

Castle Funds is a platform dedicated to simplifying the process of buying and managing Bitcoin investments. It offers a personal private retirement vault for handling Bitcoin IRAs and provides various services such as recurring buys, self-custody solutions, and expert financial advice for both individual and business investors. Castle Funds aims to empower clients with comprehensive educational resources to navigate the Bitcoin landscape effectively, emphasizing the benefits of Bitcoin as a secure and superior financial asset.

2 - 10 employees

Founded 2017

💳 Fintech

👥 B2C

🛍️ eCommerce

📋 Description

• Partner with Product, Marketing, Engineering, and Finance teams to identify and answer critical business questions and ensure teams are interpreting data correctly. • Own the full lifecycle of data analytics projects, from ideation and data exploration to insight generation and presentation. • Develop and champion core metrics, ensuring data accuracy and consistency across the organization. This includes prototyping and curating dashboards, queries, and metrics to improve Swan’s insights and products. • Design, build, and maintain dashboards and visualizations to track key performance indicators and business growth. • Translate complex data findings into compelling narratives and actionable recommendations for stakeholders at all levels, including the executive team. • Act as a strategic thought partner, using data to inform product development, marketing campaigns, and overall business strategy. • Proactively identify improvements and data-driven initiatives such as reporting automation, better tooling, and team trainings.

🎯 Requirements

• Bachelor's degree or higher in a directly related field, or equivalent practical experience. • 5+ years of experience in a data analytics role, preferably in a fast-paced tech or fintech environment. • Expert in SQL with a solid understanding of relational databases (PostgreSQL). • Proven track record of creating impactful data visualizations using Tableau, Looker, QuickSight, or similar industry-standard platforms. • Prior experience working with data warehouses (Redshift), data transformation platforms (dbt), customer data platforms (Rudderstack, Segment). • Comfortable using AI to ideate, iterate, and troubleshoot work. • Eager to contribute to projects outside of the ordinary scope of a pure Data Analyst. • Deep knowledge of Bitcoin and a passion for its potential in transforming financial services.

🏖️ Benefits

• Compensation for this role will be based on location and experience, and may include base salary, equity, and benefits.

Apply Now

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