Cardless

Senior Data Analyst

Cardless San Francisco, CA

Cardless provided pay range

This range is provided by Cardless. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $180,000.00/yr
At Cardless, we’re building a credit card and loyalty platform that consumer businesses use to engage their customers. We’ve launched 9 credit cards, including Qatar Airways, the “Airline of the Year”, and LATAM, the largest airline in South America. We help businesses bring imaginative card programs to life, and have pioneered technology to embed credit card features natively into their products. We value curiosity, humility, and intensity — we move fast and take ownership. This is a place where a motivated, resourceful individual can have an enormous impact on our trajectory. We are looking for a senior data analyst to join the data team at Cardless. In this role, you'll help us improve our ability to report and visualize trends for metrics. You'll partner with members across internal and external teams to help meet their data needs, including reporting metrics, supporting partners in answering questions etc. Key Responsibilities:

  • Collect, clean, and analyze data from various sources to identify trends, patterns, and insights
  • Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker
  • Develop and maintain data pipelines and ETL processes to support analytics and business intelligence needs
  • Collaborate with cross-functional teams to identify areas for improvement, answer business questions, and develop data-driven solutions
  • Monitor and ensure data quality within the data warehouse, troubleshooting and resolving issues as needed
  • Develop reports, presentations, and data models to communicate findings and recommendations to stakeholders


Requirements

  • Advanced SQL and data modeling skills, Python experience a plus
  • 3-6 years in data analysis, data science, or related fields
  • Experience with data warehouse and visualization tools, such as Redshift, Snowflake, Looker, Tableau, Micro-strategy etc
  • Bachelor's degree in a relevant quantitative/STEM field such as Data Science, Statistics, Economics, or Mathematics
  • Excellent analytical and problem-solving skills, with the ability to assess complex data sets and identify patterns and trends
  • Good communication skills, both verbal and written, with the ability to explain complex data insights to non-technical stakeholders
  • Ability to work independently, with minimal supervision, and manage multiple projects simultaneously
  • Experience in credit card industry is a plus


This is a hybrid role based out of our San Francisco office, with the data analyst coming into the office three times a week. Candidates based outside of San Francisco bay area are encouraged to apply and can be relocated. Benefits We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits: 💸 Meaningful Start-up equity 🏥 100% health, vision & dental primary coverage ➕ 75% health, vision & dental dependent coverage 🍱 Catered lunches 🚎 $250/month Commuter benefit 👶 Parental leave ✈️ Team building events & happy hours 🌴 Flexible PTO with a minimum of 15 days off per year 🖥️ Apple equipment 💸 401k plan ——— Cardless employees are required to be fully vaccinated and boosted against COVID-19, and to provide proof of vaccination prior to their first day. Cardless is an equal opportunity employer, and we value a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other applicable legally protected characteristics. Compensation This role has an annual starting salary range of $130,000 - $180,000 + equity + benefits (see below). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.
  • Seniority level

    Not Applicable
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Technology, Information and Internet

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