Back to jobs
New

Senior Data Analytics / Business Analyst

Remote, USA

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We are actively looking for a Senior Data Analytics / Business Analyst. This person will report to our Data Science Manager and work closely with our Data Science and Engineering teams to create solutions for accelerated business performance. 

As a Senior Data Analytics / Business Analyst, you'll work closely with the heads of all functional areas at Nift to drive revenue growth and improve the consumer experience. This is a critical position for Nift as you will identify and prioritize opportunities that directly impact revenue, applying your expertise in Data Analytics with a proactive, growth-oriented mindset. We’re looking for someone who can deeply understand customer behavior through data and research, and who has the execution focus to iteratively test, measure, take action, and resolve issues.

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. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. 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: 

  • Define and track key performance indicators for the Nift platform/product
  • Conduct root cause analysis, statistical analysis & reasoning of trends, feature extraction & regression modeling
  • Formulate and implement action plans to drive and accelerate revenue growth 
  • Design / run A/B & multivariate experiments
  • Design, build, and automate dashboards & reporting
  • Collaborate with data science, engineering and UX on the end-to-end process of design, test implementation, and analysis
  • Document, communicate findings, develop & implement action plans to resolve any / all issues discovered
  • Use advanced data modeling and analysis techniques to discover/improve performance deficiencies
  • Design, build, and implement processes to fix & optimize them
  • Ensure the accuracy of data on all projects and deliverables 
  • Examine, interpret and report results of analytical initiatives to all relevant stakeholders on our leadership, sales, and product teams
  • Oversee the data/report requests process: tracking requests submitted, prioritizing the requests, approving the results, etc.

What you need:

  • 5+ years of experience working in a commercial production environment
  • Bachelor's degree in an analytical field such as economics, mathematics, statistics, or computer science (an advanced degree in a quantitative field is preferred)
  • MBA or MA in Applied Economics (Preferred)
  • Experience dealing with large consumer data sets
  • Experience in applying logistic regression modeling, to business problems
  • Excellent statistical analysis, root cause analysis & identification 
  • Proven experience with defining, implementing, and analyzing A/B and multivariate experiments
  • Strong proficiency with SQL
  • Strong urgency and reliability in delivering on time, with excellent written and verbal communication skills

What you get: 

  • Competitive compensation, flexible remote work
  • Unlimited Responsible PTO
  • Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success

Create a Job Alert

Interested in building your career at Nift? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Phone
Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf


Select...
Select...
Select...