Senior Analytics Engineer, Products Analytics (Crypto)

Ripple | Building the Internet of Value. Enabling the world to move value the way information moves today

About

Discover why hundreds of financial institutions choose RippleNet to provide a better payments experience and enable greater economic opportunity for everyone, everywhere.

Overview

San Francisco, CA, USA

Ripple

Job Description

Ripple is working to build new product experiences around crypto liquidity. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.

In order to drive innovation faster and be more customer-centric, the Data Insights team is looking for a passionate Senior Analytics Engineer who will build analytics pipelines to support the scalability of complex business data marts and implement new data models. The person will develop and maintain the key pipelines that help our Data Scientists and business stakeholders to build product insights and help scale and automate them with new solutions.

WHAT YOU’LL DO:

  • Build, enhance, maintain and manage ETL pipelines that  transform data from various external sources, storing it in highly optimized database systems, and making it useful to our reporting layers
  • Create automation systems and tools to configure, monitor, and orchestrate ETL pipelines
  • Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth
  • Identify and resolve performance and scalability issues, troubleshoot problems, and improve product quality
  • Troubleshoot data issues and enable  power users and other stakeholders who develop self-service data analysis on behalf of their divisions
  • Closely partner with Staff Engineer for business data mart models
  • Work closely with Data Science colleagues to help operationalize business logic into scalable data marts
  • Build and strengthen partnership with business stakeholders and enable them to build self service analytics
  • Ability to communicate complex concepts in a clear and concise manner to audiences from fellow analysts to senior executive level
  • History of working with Business Analyst/Product Managers
  • Record of preemptive communication and documentation strategies favoring self-service education

WHAT WE’RE LOOKING FOR:

  • 5+ years of demonstrated success in sourcing, transforming, and optimizing data from divergent sources.
  • No management experience necessary, but a passion for mentoring and learning leadership qualities is desirable.
  •  You are an expert in creating data warehouse solutions leveraging best practices for continuous improvement, in addition to possessing expert SQL, DDL, and DML knowledge.
  • You are highly skilled in scheduling, dependency management, and optimization.
  • Have  basic to intermediate level of Python or other scripting languages in order to help data analysts and data scientists, among other partners, optimize data models.
  • You will have an acute understanding of data warehouse modeling techniques and experience using cloud-based data warehouse technologies such as GCP Big Query or Snowflake.
  • Through your work in data warehousing, you have expanded and improved either the data warehouse set, utilization, and/or business performance.
  • You’re also familiar with GCP or similar cloud solutions
  • You have worked in orchestration of ETL processes using Airflow or Similar tools
  • Worked with version control softwares like GIT or similar tools
  • Ability to work in a fast paced, ever changing, start-up environment
  • Team player combined with a positive attitude
  • Problem solver who never stops thinking about ways to improve
  • You do all this, while also contributing to an engaging data team culture. While not required, experience with Tableau or similar tools are desirable.

WHAT WE OFFER:

  • The chance to work in a fast-paced start-up environment with experienced industry leaders
  • A learning environment where you can dive deep into the latest technologies and make an impact
  • Competitive salary and equity
  • 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
  • 401k (with match), commuter benefits
  • Industry-leading parental leave policies
  • Generous wellness reimbursement and weekly onsite programs
  • Flexible vacation policy – work with your manager to take time off when you need it
  • Employee giving match
  • Modern office in San Francisco’s Financial District
  • Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
  • Weekly company meeting – ask me anything style discussion with our Leadership Team
  • Team outings to sports games, happy hours, game nights and more!

WHO WE ARE:

Ripple is doing for value what the internet did for information: enabling its instant and seamless flow around the world. We call this the Internet of Value (IoV). Using blockchain and cryptocurrency technology, Ripple is dedicated to creating powerful gains in financial efficiency, equity and inclusion. In addition, Ripple is developing and enabling the future use cases that will catalyze the new digital economy for governments, businesses and consumers.

Ripple has offices in San Francisco (HQ), New York, London, Mumbai, Singapore, São Paulo, Reykjavík, Washington D.C. and Dubai.


Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
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