About Banyan

BANYAN is a global interchange for SKU-level receipt data, with a mission to make it easy for consumers to connect their receipts to the apps and services they choose, unlocking value for merchants and enabling financial institutions and fintech apps to create incredible, personalized experiences for their customers.

We’re a growing team of more than 25 employees distributed across the US, with offices in Holmdel, NJ and Chicago, IL. Our investors include FinVC, TTV Capital, Motivate Ventures, and Manifold Group, and we have ambitions to become a major player in the future of fintech.

Overview of Role

Banyan is looking to make its second hire on the Product Analytics team, who can take on a “full-stack” role across business intelligence, data onboarding, and analytics engineering. As a Senior Data Analyst, you’ll report to the Director of Product Ops & Analytics, and build out internal product analytics & reporting dashboards, lead data evaluations and transformations of client data (merchant receipts and financial transactions), and perform ad-hoc product analyses for key fundraising, sales enablement, and product initiatives. Currently, our stack is based on GCP (BigQuery), and consists of Looker, dbt, and soon-to-be other modern data orchestration and ingestion tools.

You’ll work closely with a variety of stakeholders across the organization, and serve as an authority on the key product metrics that will drive our business. The right candidate will be analytical, passionate, comfortable with ambiguity and changing priorities, and has a good mix of technical skills and business intuition. This role is a great opportunity for an experienced generalist interested in building things from the ground up as initial duties will span multiple areas of analytics and shift to greater specializations or focus areas over time.

We’re looking for someone who is passionate about the developing practices of data analysis, business intelligence, and analytics engineering who can quickly absorb the business context of our company. We recognize that many great applicants will come with differing levels of experience and backgrounds (or may not have worked with the specific tools in our stack), so if you are interested and passionate about our company vision and mission, please apply!

Responsibilities

  • Define and track foundational metrics and build internal BI dashboard(s) and reporting using Looker
  • Write SQL queries and dbt code for analytics transformations, version control, and testing
  • Develop standardized report(s) in Looker for external use cases built off of core data platform
  • Collaborate with clients to understand their data structure and produce initial data quality diagnostics
  • Write and deploy client-specific transformation logic (data models) to integrate merchant and transaction data into Banyan core data platform
  • Perform ad-hoc product analyses and proofs-of-concept for key fundraising, sales enablement, and product strategy use cases
  • Partner with data engineering and other stakeholders to improve our core data platform (e.g. data quality testing)
  • Document our data, ensure data accuracy, and create & improve datasets to meet Banyan needs
  • Research new tools and methodologies to enhance our stack and development process

Qualifications

  • 3+ years of relevant working experience in data analytics and/or business intelligence, preferably in a tech company or startup
  • Strong proficiency in SQL
  • Experience with business intelligence dashboarding & reporting tools, e.g. Tableau, PowerBI, Looker (preferred)
  • Experience with data evaluation, transformation, and modeling
  • Experience working with modern data warehouses, e.g. Snowflake, AWS Redshift, Google BigQuery (preferred)
  • Experience in analytics engineering, e.g. LookML, dbt (preferred)
  • Knowledge of version control and GitHub actions
  • Good communication skills (written and verbal)
  • Attention to detail and desire for end-to-end ownership of deliverables
  • Self-motivated, proactive, and fairly autonomous; comfortable working in a fast-paced environment
  • Collaborative with a positive attitude, interest in learning, and strong sense of empathy

Desired Experience

  • Experience with Python
  • Exposure to data orchestration tools like Airflow, Prefect, or Dagster
  • Experience with data warehouse and schema design frameworks & techniques
  • Familiarity with retail & CPG data or financial transaction data

Benefits

  • Competitive salary and equity
  • Medical, dental, and vision insurance plans
  • Flexible vacation policy
  • Paid parental leave
  • Work-from-home remotely, w/ occasional travel for bi-annual company retreats
    • Option to work semi-regularly in office if located near Chicago, IL or Holmdel, NJ offices
  • Learning and development initiatives & assistance

Banyan is an equal opportunity employer and committed to providing employees with a work environment free of discrimination and harassment. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.