Senior Data Analyst - Marketing

About Revel

Revel's mission is to accelerate EV adoption in cities by providing the infrastructure and services that make it easy to go electric. Through the Revel app, users can rent electric mopeds, take rideshare rides in fully electric cars and find fast-charging stations compatible with any brand of EV. Revel prides itself on its total rejection of the gig economy and its collaborative approach with local governments. Founded in Brooklyn, NY in 2018, Revel currently operates in New York City, Washington D.C., San Francisco and Miami.

Our Operating Principles

Revel’s Operating Principles represent who we are, how we act, and what we believe. They define our culture. 

Empathy. We seek to understand the experiences and perspectives of each other, our customers and the communities where we operate. 

Ownership. We are excited by big challenges and care deeply about our work. We empower and rely on each other and hold ourselves to a high standard.

Humility. We take our work seriously but not ourselves. We’re approachable, curious, and know we have a lot to learn. 

Adaptability. We expect change and quickly adjust our approach to reflect new information. We know success requires seeing opportunity in obstacles and relentlessly improving.

Simplicity. We clarify and prioritize what can be done now. We strive to keep things no more complicated than absolutely required.

About the Role

We’re looking for a Senior Data Analyst who can help drive acquisition and grow engagement by providing analytical support to our Marketing team.

This would be someone who can quickly and easily learn their way around a variety of data structures and technology. With access to warehouses of real-time geospatial data as well as channel attribution data, this role will work with the rest of the Data Science team to develop both predictive and descriptive reporting, visualize data, and present findings to the executive team.

Responsibilities

Lead the development of analyses, models & reporting for our Marketing team. This includes:

• Development of analyses / models
• Translation of data / insights into meaningful and actionable recommendation to business leads across the organization
• Building deep knowledge of internal & external data sources

Technical Requirements

• Minimum 4 years experience working as a data scientist/analyst
• Proficient in SQL and either Python or R
• Experience with LTV models & survival analysis
• Knowledge of experimental design & statistical tests to measure efficacy of campaigns
• Experience with data visualization tools such as Tableau, Mode or Looker

Nice to Haves:

• Knowledge of linear regression models, tree based models, clustering algorithms
• Experience with channel attribution and funnel analyses for user acquisition
• Familiarity with AWS services such as Kinesis, S3, EC2, RDS, and Redshift
• Familiarity with geospatial data
• Experience with Postgres / Snowflake databases
• Familiarity with GitHub or other version control software tools

Non-Technical Requirements

• Strong written and verbal communication skills
• Ability to summarize key findings into clear and actionable recommendations, and to interact with individuals at all levels
• Strong project management skills and ability to plan and prioritize work in a fast-paced environment
• Team player and willing to pick up extra responsibilities as required
• You are enthusiastic, reliable, and hardworking
• You take your work seriously but not yourself

https://www.cigna.com/legal/compliance/machine-readable-files.  This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.