Data Analyst Job Description
We are seeking a Data Analyst to support our Sales Finance team.
* Run ad hoc analysis to answer business questions related to customer behavior, product usage, sales performance, and financial trends
* Support deep dive projects such as weighted pipeline evaluation, consumption reporting, sales attainment analysis, and LTV to CAC modeling
* Build and maintain draft BI dashboards in Tableau or similar tools
* Write SQL queries to pull, clean, and transform data in Snowflake
The ideal candidate has moderate SQL skills, strong business acumen, and the ability to learn quickly in a dynamic environment.
Responsibilities include:
* Running ad-hoc analysis to answer business questions related to customer behavior, product usage, sales performance, and financial trends
* Supporting deep dive projects such as weighted pipeline evaluation, consumption reporting, sales attainment analysis, and LTV to CAC modeling
* Building and maintaining draft BI dashboards in Tableau or similar tools
* Writing SQL queries to pull, clean, and transform data in Snowflake
This is a hands-on execution role focused on delivering high-quality analytical work that helps the company move faster.
Requirements:
* 1-3 years of experience in data analytics, BI, or a related field
* Moderate SQL experience with a willingness to learn and improve
* Familiarity with BI tools such as Tableau, Looker, or Power BI
* Strong analytical reasoning and the ability to connect data to business concepts
* CLEAR written communication skills and the ability to summarize findings
* Comfortable working independently and managing priorities in an async environment
* High attention to detail and a proactive approach to problem-solving
Desirable Skills:
* A builder mentality with interest in creating small tools or solutions to improve workflows. Curiosity and experimentation with AI tools is a plus.
* Experience working with SaaS metrics such as ARR, NRR, churn, pipeline, product usage, or LTV to CAC
* Experience with Snowflake or similar cloud data warehouses
* Experience supporting finance, revenue, or business operations teams
* Knowledge of Python or scripting for data automation is helpful but not required
* Familiarity with data modeling or ELT concepts