Position title
Data Analyst

To empower the company on that mission, the Data Intelligence team provides the data and analysis integral to decision making and company operations. This includes contributions to define strategy, set team targets, establish governance processes, and improve efficiency and collaboration across the organization. As a horizontal data team, we work with key stakeholders and C-suites across all key company functions (Sales, Operations, Customer Success, Product, Strategy, and Finance).

  • Collaborate with business and product teams to understand their analytical needs, and translate them into data requirements with clearly defined data metrics and definitions.
  • Design and develop ETL processes to ingest data into data warehouse, and transform data into data models suitable for business intelligence and analytics needs.
  • Build dashboards and reports to visualize and interpret business data in supporting business decision making.
  • Perform in-depth analysis on Spenmo's business, present results to varied audiences, and translate insights to actionable recommendations.
  • 0~4 years of work experience, preferably either: 1) in data centric roles with experience with reporting systems, data pipeline architecture and data modeling; or 2) analytical roles supporting strategy, program or project management, and technology operations.
  • Must be proficient with querying and manipulating raw datasets, preferably with SQL.

Nice to Have

  • Python or R experience, esp. in data analysis or building internal tools.
  • Experience scaled ETL processes.
  • Experience with building data marts.
  • Proficiency with data visualization concepts and tools.
  • Explain technical concepts and analysis clearly to drive decisioning making, and translate business objectives into actionable analyses.

Spenmo is one of the fastest growing fintech startups in the payment space, backed by Y-Combinator and Rocket Internet, to reimagine company spending.

We are building a seamless accounts payable experience for small and mid-sized businesses, helping companies and finance teams pay their bills, track and categorize their spendings, and close their books on auto-pilot in 90% less time.

Employment Type
Financial Services
Job Location
Remote work possible
Date posted
September 13, 2021
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Position: Data Analyst

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