Remote - Lead Data Analyst

Green Dot•Los Angeles, CA

1d•$109,300 - $163,900•Hybrid

About The Position

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips. This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance. Are you insatiably curious about the latest technologies in the payments and fintech space? Are you passionate about delivering great value and experience to customers? Are you a fast learner, obsessed with data? We are seeking a Lead Data Analyst to join the team!

Requirements

Tableau development experience required
4+ years of relevant data analytics experience, and /or consulting roles (Financial Services or Consulting company is preferable)
Excited to collaborate with a high-energy team of contributors.
Excellent verbal and written communicator
Self-motivated individual with strong organizational and problem-solving skills, with an ability to transition from in-the-weeds details to high-level insights
Experience with charting / visualizing data or creating dashboards
Strong to advanced proficiency in SQL; able to write structured and efficient queries on large data sets
Ability to use constructive and candid dialogue to influence others without relying on formal authority
A willingness to be flexible, prioritizing problems that are most important, and using the most appropriate tools
Takes a measured and thoughtful approach to difficult situations
An ability to build strong relationships with colleagues and stakeholders

Nice To Haves

Bachelor’s Degree in economics, business, engineering or quantitative discipline is preferred
Ability to work in the U.S. without sponsorship
Ability to meet the location requirement outlined above

Responsibilities

Independently drive the full cycle of analytics workflow from requirements gathering, to data collection, to reporting and visualization.
Analyze quantitative and qualitative datasets to generate actionable recommendations for cross-functional teams.
Synthesize large volumes of data and complex concepts into clear, accessible learnings.
Develop clear, compelling visualizations and automated dashboards that help us extract key insights and understanding of our products and customers.
Iterate and improve upon metrics and visualizations over time.
Communicate with internal and external partners to define appropriate data, reports, visualizations and dashboards that are integral to decision making.
Understand the BaaS business goals and be able to select and define metrics to fit those goals.
Deliver insights backed by your investigations.
Ensure data quality through documentation and providing quality assurance of delivered insights.
Develop strong cross-functional partnerships across the company (revenue, product, operations, engineering teams, etc.) to answer business questions.
Communicate effectively with technical and non-technical audiences both verbally and in writing.
Hold oneself accountable for contribution goals.