Loom
San Francisco
51-200 employees
We're bringing video messaging to work and empowering everyone to communicate more effectively, wherever they are.
Other Open Roles
Prior Listings
Senior Data Analyst, Marketing
Senior Data Analyst, Marketing
This job is no longer open
The Role
We’re looking to add a Senior Analyst to our growing Data team to help us measure the impact of our Marketing initiatives (and some Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, and crafting complex database queries and ETL pipelines. The ideal candidate will be data-driven, enthusiastically curious, and a clear communicator.
* We are currently hiring remotely in the United States and Canada
Responsibilities
- Measure the impact of Marketing & Sales and identify growth and optimization opportunities
- Partner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requests
- Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
- Build marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costs
- Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
- Develop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps)
What We're Looking For
- 5+ years of experience in a data science or analytics role turning data into insights and recommendations
- Strong analytical and communication skills with the ability to synthesize insights into compelling stories
- Experience working with sales and marketing teams
- Proficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data sets
- Experience with a Business Intelligence tool (e.g. Tableau or Mode)
- Experience with a statistical scripting language (e.g. Python or R) is a plus
- Experience with Google Analytics and the underlying data in BigQuery is a plus
- Experience with ETL tools such as Airflow or DBT is a plus
- A Bachelor’s Degree in a quantitative field or higher
This job is no longer open