Kayzen

Lead Data Analyst

Remote

Full Time

#Product

#Ad Tech

#Data Analytics

#SQL

#Python

#Data Mining

#Data Visualization

#Big Data

#Spark

#HDFS

#Hive

#Git

#Airflow

Kayzen is looking for a Lead Data Analyst

Full Time Lead Remote Product Ad Tech Data Analytics SQL Python Data Mining Data Visualization Big Data Spark HDFS Hive Git Airflow English Remote work Flexible work location Home office budget

We are Kayzen, a mobile demand-side platform dedicated to making programmatic advertising accessible to everyone. We help brands, agencies, and app developers drive growth through both self-serve and managed service options. With a massive scale of over 160 billion daily ad requests and a presence in 180 countries, we are constantly pushing the boundaries of mobile marketing. We are looking for a Lead Data Analyst to join our global team and help us turn complex data into actionable business intelligence.

Role at a glance

This is a full-time, remote position designed for an experienced professional ready to take on a lead role. You will work from anywhere, collaborating with a diverse, multinational team of experts. You will report directly to our Co-founder and CPO, ensuring your work has high visibility and a direct impact on our strategic direction.

Your impact

Lead and mentor the Data Analytics team to ensure high-quality, impactful deliverables that support our business goals.
Define the roadmap for both the Data Analytics team and the broader Data Team, aligning our technical efforts with company priorities.
Drive research for machine learning model development by analyzing internal and external data to uncover insights that improve our advertising performance.

What you'll need

We are looking for someone who goes beyond standard dashboard creation and enjoys deep, investigative analysis. You should be proactive, results-oriented, and comfortable taking ownership of complex data challenges.

At least 5 years of experience in Ad Tech or a related data analytics field.
Advanced proficiency in SQL and intermediate skills in Python.
Strong expertise in data mining, modeling, and visualization.
A hands-on approach to solving problems like feature engineering, A/B testing, and fraud detection.
Familiarity with Big Data tools such as Spark, HDFS, and Hive is a plus, as is experience with Git and Airflow.
Fluency in English.

Perks and compensation

Joining our team means working alongside industry experts in a fast-paced environment. We offer the following benefits to support your work and growth:

Flexible remote work arrangements.
A 500-dollar budget to help you build your ideal home office.
An annual learning and development budget of 1,000 dollars to support your professional growth.
Direct access to our leadership team and significant opportunities for career advancement.

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Lead Data Analyst at Kayzen