Senior Revenue & Growth Analyst
Nift Networks, Washington, District of Columbia, United States
Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We are looking for a mid-level
Senior Data Analyst
focused on revenue and growth analytics to help us better understand, explain, and optimize how our marketplace and auction systems drive value for brands and consumers.
This role sits at the intersection of data, business, product, and sales. You will work closely with Sales, Product, and Data Science to analyze system behavior, evaluate experiments and model changes, and translate complex data into clear, actionable insights for both internal teams and client-facing conversations. This is a high-impact role for someone who is technically strong, business-oriented, and comfortable communicating insights that directly influence revenue.
Our Mission: Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.
We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. As we scale, data and analytics are central to how we make decisions, improve performance, and explain value to our partners.
Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here.
What you will do:
Analyze revenue and growth performance across Nift’s marketplace and auction systems
Partner with Sales to generate insights that explain auction behavior, pricing dynamics, and performance drivers for brands
Support Product and Data Science by measuring A/B tests, model calibration changes, and feature launches
Define, track, and report on core revenue and growth KPIs
Perform root-cause analysis on performance changes and anomalies
Translate complex analytical findings into clear narratives for internal stakeholders and client-facing use
Support stakeholder requests with timely, accurate analysis and clear recommendations
Ensure data accuracy, consistency, and trust across all analyses and deliverables
What you need:
5-7+ years of experience in a Data Analyst or Business Analytics role in a production environment
Strong proficiency in SQL and comfort working with large, complex datasets
Working knowledge of experimentation analysis (A/B tests) and performance measurement
Strong analytical thinking and ability to perform root-cause analysis
High business acumen with the ability to understand auction-based systems
Excellent communication skills, with the ability to explain technical or analytical concepts to non-technical audiences, including clients
Comfort working cross-functionally with Sales, Product, Data Science, and Engineering
Nice to have:
Experience with revenue, growth, or marketplace analytics
Familiarity with auction systems, pricing models, or model calibration concepts
Experience using Python or R for ad hoc analysis
Experience supporting client-facing teams with data-driven insights
What you get:
Competitive compensation, flexible remote work
Unlimited Responsible PTO
Great opportunity to work on high-impact, revenue-driving problems in a fast-growing, profitable company
Direct exposure to product, sales, and leadership with clear ownership and visibility
#J-18808-Ljbffr
Senior Data Analyst
focused on revenue and growth analytics to help us better understand, explain, and optimize how our marketplace and auction systems drive value for brands and consumers.
This role sits at the intersection of data, business, product, and sales. You will work closely with Sales, Product, and Data Science to analyze system behavior, evaluate experiments and model changes, and translate complex data into clear, actionable insights for both internal teams and client-facing conversations. This is a high-impact role for someone who is technically strong, business-oriented, and comfortable communicating insights that directly influence revenue.
Our Mission: Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.
We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. As we scale, data and analytics are central to how we make decisions, improve performance, and explain value to our partners.
Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here.
What you will do:
Analyze revenue and growth performance across Nift’s marketplace and auction systems
Partner with Sales to generate insights that explain auction behavior, pricing dynamics, and performance drivers for brands
Support Product and Data Science by measuring A/B tests, model calibration changes, and feature launches
Define, track, and report on core revenue and growth KPIs
Perform root-cause analysis on performance changes and anomalies
Translate complex analytical findings into clear narratives for internal stakeholders and client-facing use
Support stakeholder requests with timely, accurate analysis and clear recommendations
Ensure data accuracy, consistency, and trust across all analyses and deliverables
What you need:
5-7+ years of experience in a Data Analyst or Business Analytics role in a production environment
Strong proficiency in SQL and comfort working with large, complex datasets
Working knowledge of experimentation analysis (A/B tests) and performance measurement
Strong analytical thinking and ability to perform root-cause analysis
High business acumen with the ability to understand auction-based systems
Excellent communication skills, with the ability to explain technical or analytical concepts to non-technical audiences, including clients
Comfort working cross-functionally with Sales, Product, Data Science, and Engineering
Nice to have:
Experience with revenue, growth, or marketplace analytics
Familiarity with auction systems, pricing models, or model calibration concepts
Experience using Python or R for ad hoc analysis
Experience supporting client-facing teams with data-driven insights
What you get:
Competitive compensation, flexible remote work
Unlimited Responsible PTO
Great opportunity to work on high-impact, revenue-driving problems in a fast-growing, profitable company
Direct exposure to product, sales, and leadership with clear ownership and visibility
#J-18808-Ljbffr