Company

Open Positions

Be a part of the modern card issuing revolution

Data Engineering
United States
Marqeta on the Forbes Fintech 50

Senior Data Analyst

Marqeta powers innovative payment solutions for many of the apps and services you enjoy daily. Our open API provides unprecedented flexibility and control for industry-leading companies such as Uber, Coinbase, J.P.Morgan, and Block, to manage payment operations in real-time. 

Our team is a mix of industry experts and technology innovators who take a dynamic approach to solving challenging problems. Marqeta was named a 2022 Glassdoor Best Place to Work, highlighting our company culture and collaborative work environment. We are building a global team as diverse as the markets we serve and we’d love it if you joined us on our mission to change the way money moves. 

We’re a remote-first company. You have the choice to work from wherever you’re happiest and most productive, whether that’s from home, a co-working space, or one of our four global offices, depending on your location. It’s uncommon for candidates to match all job requirements, but if you’re not far off, we want to hear from you.

Position Summary

We are seeking a Senior Data Scientist interested in solving complex problems to support the creation of new data offerings and expansion of existing offerings. You will be on our data analytics / data science team and work with our product, data engineering, data science, and accounting teams to enable data-driven decision making. You will reconcile 3rd party data sources against internal assets at scale. You will implement data quality checks as accuracy matters. You will have an eye towards automation and process improvement. You will ideate and create solutions for our clients' data analytics needs, creating metrics, dashboards, reports, and alerts to provide stakeholders with actionable insights. 

Primary Responsibilities

  • Create reports, dashboards, data feeds, workflows, and data APIs

  • Analyze data sources to determine appropriate methodologies

  • Reconcile internal data assets with 3rd party sources

  • Perform daily, weekly, and monthly validations to ensure data integrity

  • Support technical and non-technical stakeholders to understand Marqeta’s product performance via data

  • Data quality analysis, workflow management, respond to data inquiries

  • Identify and escalate risks or potential issues

  • Ask questions and communicate clearly and effectively with customers

Requirement

  • 5+ years experience working with large data sets using SQL

  • Experience overlaying disparate data sources in reconciliation systems

  • Ability to partner and collaborate with cross-functional teams

  • Research new tools and methods to improve functionality and enhance productivity

  • Seeks and provides constructive feedback to team members & stakeholders

Nice to Have

  • Experience with accounting, finance, or other FinTech products

  • Experience creating efficient tables in Snowflake

  • Experience with git, GitHub, and the pull request workflow

  • Experience building customer facing data solutions (such as through Tableau or Looker)

Benefits and Perks

  • Flexible time off – take what you need
  • Retirement savings program with company contribution
  • Employee insurance premiums paid 100% + coverage for dependents and pets
  • Family forming benefits including fertility support and up to 20 weeks Parental Leave
  • Free therapy sessions, financial coaching, and a Wellness stipend
  • Monthly stipend to support our hybrid work model 
  • Equity in a publicly-traded company
  • Bi-annual “Hack Week” to support and reward innovation

Learn more about Marqeta on our Website, Twitter and LinkedIn.

As part of our dedication to the diversity of our workforce, Marqeta is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant on any legally-recognized protected basis under federal, state or local laws, regulations or ordinances.

Our Applicant and Candidate Privacy Notice applies to the personal data that you directly provide to us or that we collect during the application and candidate recruitment process.

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