Our finance team is expanding to support our company's growth! Reporting to our VP of Finance, you will help build and maintain an efficient and intuitive data foundation supporting our finance and strategy team. The purpose of the finance data foundation is to help guide measurement, strategy, and tactical decision-making across our core business at a granular level. Additionally, you will partner with Product, Engineering, and Operations to drive the development and optimization of products and operational processes through strategic analysis, roadmap planning, and experimentation.

Responsibilities:

You will be responsible for leading and coordinating the business intelligence efforts of Clipboard Health focused on our core metrics, financial reporting, and revenue forecasting
In this role, you will work closely with other members of the product, pricing, and strategic leadership team, to ensure that Finance and BI are aligned with the overall goals and objectives of Clipboard Health
Understand and analyze the current business performance and trends daily, through the creation of dashboards, analysis and forecasts
Inform Clipboard Executives and Product Leadership on current marketplace health, subsequent business performance, and high level metrics such as market share and TAM by region
Develop and implement strategies for data collection, analysis, and reporting on business and marketplace health
Automate reports and provide custom reporting and metrics to support the finance, strategy and products teams
You will build, curate, document, and manage key datasets and ETLs to increase the impact of the entire finance team
Create brand new and optimize existing data models for our core marketplace product
Standardize business and product metric definitions in curated and optimized datasets
Promote data, analytics, and data model design best practices

Requirements:

This is a critical role that requires analytical skills, business acumen and a comprehensive knowledge of marketplaces
5+ years’ experience in business intelligence, analytics, or data
BA/BS degree required in quantitative fields such as statistics, math, data science, industrial engineering, engineering, etc…
The ability to build strong relationships with various partners across the organization
Strong problem-solving and critical-thinking abilities
Expert-level knowledge of Microsoft Excel and Google Sheets functions and formulas
Experience with BI tools and technologies (e.g. Metabase, HEX, Looker, DBT, etc…)
Advance level of SQL
Experience with coding in Python, preferred
Deep excitement for using data to find and execute opportunities others don’t see

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