Loom
San Francisco
51-200 employees
We're bringing video messaging to work and empowering everyone to communicate more effectively, wherever they are.
Prior Listings
- Senior Data Analyst, Product Growth
- Senior Data Scientist, Product
- Senior Data Engineer
- Senior Data Scientist, Acquisition
- Senior Analyst, Product
- Senior Analyst, Acquisition
- Analytics Engineer
- Director of Data Science
- Senior Data Infrastructure Engineer
- Senior Data Scientist
- Senior Data Analyst, Collaborate & Enterprise
- Lead Data Analyst, Product Growth
- Senior Data Analyst, Product Growth
- Senior Data Analyst, Acquisition
- Lead Data Analyst, Ecosystem
- Senior Data Analyst, Marketing
- Lead Data Analyst, Ecosystem
- Senior Data Analyst, Collaborate & Enterprise
- Senior Director of Data
- Senior Data Scientist, Marketing
Senior Data Analyst, Collaborate & Enterprise
Senior Data Analyst, Collaborate & Enterprise
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 Collaborate & Enterprise initiatives and identify opportunities to expand the network of people who use async video at work. In this role you will help the Collaborate & Enterprise teams drive initiatives that range from big bets that inflect Loom’s growth trajectory to quick wins that continuously remove friction for our users.
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, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
*We are currently hiring remotely in the United States and Canada
Responsibilities
- Be a primary partner for the Collaborate & Enterprise teams working with Product, Engineering and Design to understand growth and optimization opportunities and measure impact of initiatives
- Provide data insights through A/B testing, dashboards, user behavior analyses and ad-hoc requests
- Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
- Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
- Lead A/B experiments from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout
- Build analytics plans for new products and features, helping the Collaborate & Enterprise teams understand which metrics need to be measured and which events need to be tracked
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user acquisition and activation behavior
What We're Looking For
- 5+ years of experience in an analytics role turning data into insights and recommendations
- Strong analytical and communication skills with the ability to synthesize insights into compelling stories
- Experience with the SaaS customer lifecycle from acquisition to retention
- Experience with designing and analyzing experiments
- Superior SQL (Snowflake, Postgres) skills - 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. R or Python) is a plus
- Experience with ETL tools such as Airflow or DBT is a plus
- Experience in data modeling and ETL development is a plus
- Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights
- A Bachelor’s Degree in a quantitative field or higher
This job is no longer open