Kayzen
Lead Data Analyst (m/f/d)
Job Summary
The Lead Data Analyst role at Kayzen involves applying advanced analytics techniques such as descriptive, prescriptive, and predictive analysis to generate valuable insights. The position requires team leadership, mentorship, and strategic planning within the Data Analytics team, which works closely with Data Science and Machine Learning Engineering. Candidates should have extensive experience in Data Analytics, proficiency in SQL and Python, and familiarity with Big Data technologies. The role offers visibility to top management, career growth, and a dynamic, international work environment.
Required Skills
Benefits
Job Description
Lead Data Analyst (m/f/d)
Berlin, London, Remote
________________________
Hello š I am Puneet, Co- founder and CPO at Kayzen, and I am now looking for a Lead Data Analyst who will be a part of the our Data Analytics ( Data ) team. š
But wait, you have not heard of Kayzen before? š
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 worldās 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 the Lead Data Analyst, you will ensure that the Data Analytics team consistently applies advanced descriptive, prescriptive, and predictive analytics to deliver high-value insights across multiple stakeholders. At Kayzen, our Data Analytics team operates within the broader āData Team,ā which also includes Data Science and Machine Learning Engineering. Collectively, the Data Team develops and deploys the machine learning models that power our clientsā 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).
Through your leadership, you will champion a data-driven culture and empower teams across Kayzen to harness analytical insights in a consistent and impactful way.
Responsibilities
As a hands-on leader, you will combine technical prowess with strategic visionādriving complex analysis, mentoring team members, and tackling data challenges directly. You will address a variety of problems, such as feature engineering, A/B testing, fraud detection, bidding decisions to name a few examples. Your key responsibilities include:
- Team Leadership & Mentorship: Guide and develop the Data Analytics team, ensuring the quality and impact of their deliverables.
- Roadmap Definition: Shape both the Data Analytics roadmap and the broader Data Team roadmap, making decisions that align with business priorities and objectives.
- 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 to ask questions and to answer them.
- This is not a campaign management role, where you will be responsible for operational campaign optimization.
Requirements
- 5+ 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 āvisibleā 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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