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
Lead Data Analyst, Ecosystem
Lead Data Analyst, Ecosystem
This job is no longer open
The Role
We’re looking to add a Lead Analyst to our growing Data team to help us measure the impact of our Ecosystem initiatives and identify opportunities to expand the network of people who use async video at work. In this role you will help the Ecosystem team launch strategic initiatives with top productivity platforms like Atlassian, Slack, Microsoft Teams, and Google. You will also help understand impact and opportunity of a scalable self-serve loomSDK business targeting the developer community.
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 the primary partner for the Ecosystem (Integrations and Platform) team and collaborate with Product, Engineering and Design to understand opportunities and measure impact of initiatives
- Partner with the Ecosystem team and help build a culture driven by data informed decisions
- Leverage data to help the team drive the overall Ecosystem roadmap and strategy
- Lead the analytics team for Ecosystem and manage a small team of product analysts
- Lead and mentor team members with processes and analytical and technical expertise for executing experiments, building pipelines and answering open ended business questions
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user acquisition and activation behavior
- 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
- Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
- Collaborate with Product and Engineering to build analytics plans for new products and features, helping the Ecosystem team understand which metrics need to be measured and which events need to be tracked
- Provide data insights through A/B testing, dashboards, user behavior analyses and ad-hoc requests
- QA new event tracking to ensure accuracy of our data
What We're Looking For
- 7+ 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 working with SaaS products and associated data
- 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