The Role

As a Senior Data Scientist on the Loom data team, you’ll help drive highly influential projects, related to measurement, marketing acquisition, expansion and customer engagement. You will work closely with the executive team as your role will be crucial in helping Loom drive revenue and business growth.

You will play a crucial role in developing data models, dashboards and deep analyses that will help drive growth, optimize marketing campaigns and provide valuable and actionable insights into user journeys, behaviors and experiences. You will have the opportunity to help build Marketing data from ground up and own your work from end to end - from prototype and ad-hoc analyses, to productionalization of data models and ETLs, to providing recommendations that will help shape the overall roadmap.

Responsibilities

• Be a primary partner for the Marketing team and collaborate with Marketing, Data Engineering and Software Engineering to understand growth and optimization opportunities and measure impact of Marketing initiatives
• Help build Marketing data foundations from ground up and lead building Marketing focused datasets that are scalable and can be leveraged across the business
• Develop advanced data models to optimize marketing campaigns, targeting, and segmentation.
• Provide data insights across digital marketing channels through 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 Marketing recommendations, communicate results and learnings to the rest of the team
• Inform initiatives and roadmaps by performing exploratory analysis to understand user acquisition behavior
• Provide both quick ad-hoc analyses that help drive day to day short-term decisions as well as more in depth and packaged insights that help drive overall long-term business strategy

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
• 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 Hex)
• 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 building pipelines connecting integrations like Facebook, Google, Twitter, etc… is a plus
• Proficiency at Google Analytics and other common marketing tools 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