Data Analyst

New York , New York

100% Remote

Full Time

$68k - $85k

Job Description Step into a role that's more than a job – it's a gateway to redefining travel. As a full-time remote Data Analyst, your insights will unravel the path to optimizing rewards points. Embrace a dynamic tech stack including PostgreSQL, Google Analytics, LookerStudio, and Python for automation. Your skills will shape data into strategic insights that redefine the way we explore the world.

At our company, we're rewriting the travel narrative. Unlike traditional agencies, we're on a mission to empower travelers by simplifying rewards and maximizing experiences. If you're captivated by travel's transformative potential, you're in the right place!

Data dreamers, analytical architects, and trend trackers – that's who we're looking for! If you're a data maestro with a proven track record, we want you. Dive into large, uncharted datasets without hesitation. We yearn for analytical minds rooted in mathematics and statistics, where machine learning sparks excitement. Required Skills & Experience
  • Bachelor’s (or equivalent) degree in math, computer science, statistics, or another data-related major from an accredited college or university.
  • Data Analysis Expertise: A proven track record as a Data Analyst, showcasing your ability to work with diverse datasets, extract insights, and translate data into actionable recommendations.
  • Python Automation Proficiency: Strong proficiency in using Python to automate data-related processes, showcasing your ability to streamline tasks and enhance efficiency.
  • Statistical Analysis Expertise: Practical experience in conducting statistical analysis, including hypothesis testing and A/B testing, allowing you to draw meaningful conclusions from data.
  • Tool Proficiency (Google Analytics, Looker Studio, Dashboard Tools): A solid background in working with data analysis tools like Google Analytics and Looker Studio, along with expertise in creating impactful dashboards and reports.
Desired Skills & Experience
  • Machine Learning Knowledge: Familiarity with machine learning concepts and techniques, enabling you to explore predictive modeling and advanced analytics to uncover deeper insights from data.
  • Experience with pl/pgSQL and AWS (S3 & Sagemaker)
  • Clear Communication and Data Visualization
  • Detail-oriented and well organized, able to explain complex topics in a clear way
What You Will Be Doing
  • PostgreSQL
  • Google Analytics
  • Google Tag Manager
  • LookerStudio
  • Stripe
  • Hubspot
  • AWS s3
  • Github
Daily Responsibilities
  • 60% Hands On
  • 20% Management Duties
  • 20% Team Collaboration
The Offer
  • Competitive salaries and meaningful equity
  • Comprehensive health care coverage
  • A 100% distributed workforce, so you can contribute from wherever you prefer.
  • An open vacation policy, with a minimum of 15 days off each year
  • Team trips and outings
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by: Mia Quinn

Specialization: Data Engineering