Data Analyst
Kody is an agentic commerce platform with embedded payments, helping businesses manage payment acceptance, cash flow, customer engagement, and operations.
Funding history
Investors
About Kody
Kody provides an all-in-one commerce and payments platform for businesses with physical locations, particularly hospitality and other brick-and-mortar businesses. Its services include payment acceptance, financial and banking services through partners, cash-flow access via KodyCard, management tools, reporting and analytics, customer tracking, loyalty features, and conversational AI capabilities. Kody supports businesses through web- and app-based technology and offers multiple pricing plans for merchants.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze sales-funnel and SaaS performance data, build automated dashboards and reporting frameworks, and deliver commercial insights. You will maintain data quality across revenue systems, consolidate data sources, and support reporting automation.
Requirements
- At least 3 years of experience as a Data Analyst, Business Analyst, or Revenue/Sales Operations Analyst in SaaS or fintech
- Proficiency in SQL
- Advanced Excel or Google Sheets skills
- Experience with BI platforms such as Tableau, Power BI, Metabase, or Looker
- Understanding of SaaS metrics and commercial pipeline dynamics
- Familiarity with CRM data structures; HubSpot and Intercom are a plus
- Excellent written and verbal English communication skills
- Problem-solving and data-analysis skills
- University degree in a relevant field or equivalent practical experience
Responsibilities
- Analyze the sales funnel to identify growth opportunities and conversion bottlenecks
- Monitor SaaS and fintech metrics including ARR, NRR, TPV, CAC, LTV, retention, and churn
- Assist with revenue forecasting, pipeline analysis, capacity modeling, and quota tracking
- Design, build, and maintain automated BI dashboards and reporting frameworks
- Translate business requirements into analytical tasks, KPI frameworks, and executive reports
- Deliver weekly and monthly revenue and commercial-performance insights
- Maintain data integrity and consistency across GTM platforms and internal databases
- Extract, clean, and consolidate multi-source data into reliable datasets
- Support data automation initiatives
Benefits
- Health insurance including medical and dental coverage
- New office space in Admiralty
- Performance bonus