Causal Inference Analyst at Wave

W
Wave

Causal Inference Analyst

134k - 134k USD

Remote

Full Time

#Product

#Finance

#Technology

#SQL

#Python

#Statistical Analysis

#Machine Learning

#Data Visualization

#Experimental Design

#Causal Inference

Wave is looking for a Causal Inference Analyst

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We are on a mission to make Africa the first cashless continent. Millions of people across six countries rely on our mobile app to send money, pay bills, and manage their finances without the high fees or lack of access associated with traditional banking. As we continue to scale rapidly, we are looking for a sharp analytical mind to help us optimize our growth and product impact through rigorous experimentation.

Role at a glance

We are seeking a Senior Causal Inference Analyst to join our Growth team on a full-time, remote basis. This is a senior-level position for someone who thrives on turning complex data into actionable product strategies. You can work from anywhere within the UTC -5 to +2 time zone range.

Your impact

  • Design, implement, and analyze experiments to evaluate the causal impact of new product features, promotional campaigns, and operational changes.
  • Collaborate directly with product and operations teams to generate insights, build machine learning models, and identify key drivers for user growth.
  • Take full ownership of the analytics lifecycle, from scoping and hypothesis generation to communicating findings to stakeholders.

What you'll need

To be successful in this role, you should be a self-starter who is passionate about finding answers within large datasets. You will need:

  • At least 5 years of experience in applied data analytics, with a proven track record of running product A/B tests and field experiments.
  • Deep expertise in statistics, econometrics, and causal inference methodologies, such as difference-in-differences or propensity score matching.
  • Strong technical proficiency in SQL and Python for data manipulation, statistical analysis, and machine learning.
  • A Bachelor’s degree in a quantitative field like Statistics, Mathematics, or Economics. A Master’s or PhD is considered a plus.
  • Fluency in English to collaborate effectively with our global team.

Perks and compensation

We offer a salary of up to 134,400 USD, paid in your local currency equivalent, alongside a generous equity package. Our benefits are designed to support your well-being and professional growth:

  • Remote work flexibility.
  • Subsidized health insurance and retirement contributions.
  • 6 months of fully paid parental leave plus subsidized fertility assistance.
  • Flexible vacation time, with most team members taking 30 to 40 days per year.
  • Annual charitable donation matching up to 10,000 USD.
  • A yearly stipend of 800 USD to meet with coworkers and an all-expenses-paid annual trip to one of our key markets.
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