data analyst New York, NY
Job description
SENIOR DATA ANALYST, MARKETING
ABOUT THE ROLE
RESPONSIBILITIES
Build a holistic view and understanding of the marketing spend, channel performance and attribution.
Develop mechanisms to build audiences and segments to optimize channel and campaign performance.
Explore, validate, and build high value datasets to power business intelligence and marketing strategies.
Iterate on our complex channel attribution logic and methodologies; make sure they are up-to-date and effective as we grow.
Design robust experiments including incrementality tests and measure the tests with actionable metrics and learnings.
Drive metrics standardization and build consensus with marketing and other stakeholders.
Establish Looker as a primary data reporting and analytics tool. Build modular data models in Looker for efficient and sophisticated data analysis.
Drive data modeling requirements for analytics and data engineers.
Champion opportunities for advanced analytical techniques to further our understanding of our customer and business and to improve business results (e.g., segmentation predictive modeling).
Help team(s) quantify their goals and KPIs/OKRs.
Generate actionable insights and uncover opportunities for our teams to succeed
Support in the design and analysis of experiments
Drive data driven culture across the organization and coach/educate teams on analytics best practices. Training business partners on how to leverage BI tools.
ABOUT YOU
5+ years of experience working in the data analytics/business intelligence domain.
3+ years of experience building data models, reports and dashboards in BI tools (preferably Looker).
2+ years of working in acquisition/growth marketing domain(preferably in a B2C company)
You are a SQL expert, used to working with complex data sets; converting business problems into SQL is something that comes with ease to you.
Exposure to dimensional modeling concepts to power meaningful analytics.
Expertise in defining and building meaningful metrics and KPIs.
Ability to visualize data in different formats.
Some statistical analytics knowledge and experience(Preferably in Python)
Excellent communication, requirement gathering and prioritization skills.
Ability to narrate a story with your data and insights that you generate.
NICE TO HAVE:
Experience modeling data in dbt
Experience working within Fintech, Financial Services, Banks
Experience working in Marketing
Experience working with one or more MPP databases (Prefered: Bigquery, etc)
BENEFITS
Competitive salary
Meaningful equity in the form of stock options
401(k) plan
Discretionary performance bonus program
Biannual performance reviews
Medical, Dental and Vision premiums covered at 100% for you and your dependents
Flexible time off and paid holidays
Generous parental leave policy
Commuter benefits
Fitness benefits
Healthcare and Dependent care FSA benefit
Employee Assistance Programs focused on mental health
Healthcare advocacy program for all employees
Access to mental health apps
Team building activities
Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
