Kayzen
Senior Data Analyst (m/f/d)
Job Summary
The Senior Data Analyst at Kayzen is responsible for applying advanced analytics techniques including descriptive, prescriptive, and predictive models to generate insights for stakeholders. The role involves conducting research for machine learning models, evaluating system performance, and ensuring data quality while facilitating data access across the organization. Candidates should have experience in data mining, processing, visualization, and proficiency in SQL and Python. The position offers direct interaction with top management, career development opportunities, and a flexible remote work environment.
Required Skills
Benefits
Job Description
Senior Data Analyst (m/f/d)
Berlin, London, Remote
________________________
Hello 👋 I am Puneet, Co- founder and CPO at Kayzen, and I am now looking for a Sr Data Analyst who will be part of our Data Analytics ( Data ) team. 🙌
But wait, you have not heard of Kayzen before? 😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.
The role
As a Sr Data Analyst, you will apply advanced descriptive, prescriptive, and predictive analytics to deliver high-value insights across multiple stakeholders. At Kayzen, our Data Analytics team operates within the broader “Data Team,” which also includes Data Science and Machine Learning Engineering. Collectively, the Data Team develops and deploys the machine learning models that power our clients’ advertising performance in the programmatic ecosystem. Within this structure, the Data Analytics team serves as a critical bridge between the Data Team and the broader business units (e.g., campaign managers, business owners, product managers). You will champion a data-driven culture and empower teams across Kayzen to harness analytical insights in a consistent and impactful way.
Responsibilities
You will work on a vast variety of problem statements, such as feature engineering, A/B testing, fraud detection, bidding decisions to name a few examples. Your key responsibilities include:
- Data-Driven Model Research: Provide in-depth research to inform machine learning model development, leveraging both internal and external data sources to generate actionable insights.
- Analytical & Statistical Expertise: Serve as the primary source of rigorous analytics for various data problems, evaluating system performance , finding performance issues and devising solutions for them
- Data Accessibility & Quality Control: Facilitate data access throughout the organization while maintaining a centralized oversight to guarantee data quality.
What this role is not about:
- This is not a typical BI role, where you are just expected to receive requirements and build dashboards. At Kayzen, the Data Analyst role is more investigative and we need people capable of asking questions and answering them.
- This is not a campaign management role, where you will be responsible for operational campaign optimization.
Requirements
- 2+ years of experience in the Ad-Tech industry, working in Data Analytics or related fields;
- SQL (advanced);
- Python (intermediate);
- Expertise in data mining, processing, modeling and data visualization and strong analytical skills;
- A results-driven, hands-on mindset that combines rapid experimentation, pragmatic problem-solving, and a passion for delivering exceptional customer-focused solutions;
- High level of proactiveness and eagerness to solve issues;
- A strong sense of ownership and strong work ethics;
- Experience with Big Data technologies (Spark, HDFS, Hive, etc) is a plus;
- Experience with Git and Airflow is a plus.
What do we offer?
- Reporting directly to Co-founder & CPO
- Direct access to top management and an extremely “visible” role
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- Direct, day-to-day work experience with the management
- A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Kayzen
A mobile-first DSP enabling apps, agencies, media buyers, and brands to run customer acquisition, retargeting, and brand performance campaigns
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