AdresseData Analyst
Berlin, Bangalore, Remote
Who are we?
Kayzen powers the world’s best mobile marketing teams to take programmatic in-house. Built on the three key pillars of performance, transparency and control, Kayzen is a software platform which enables leading app developers, agencies and entrepreneurs to run programmatic user acquisition, retargeting and upper funnel campaigns in-house with an unprecedented scale of >100bn daily ad requests from 1bn+ unique users worldwide.
Programmatic in-housing is still in its early days of adoption in the mobile advertising market. This is where we have an impact!
What does the team do?
You will work with a carefully selected, diverse and globally distributed team from customer success, engineering, data science, design, product and more. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry.
We would like you to be part of our journey, as our Data Analyst (m/f/d).
What will you do?
As a member of the Data Analyst team, you will be part of the bigger Data Team consisting of Data Analysts, Data Scientists and Machine Learning Engineers
Your primary focus will be on building analytics and product features on top of ~10 TB of data that we store every single day across various data centers. You will be in an important role in deriving valuable insights to both our business teams and customers, by applying state-of-the-art descriptive, prescriptive and predictive analytics. Apart from your primary tasks, we would love to see your growth mindset on contributing to Kayzen’s success
What this role is about:.
Asking and answering the right questions:
- Formulate questions which help us to make better decisions and improve business KPIs
- Understand the complex Programmatic Advertising ecosystem
- Analyze several Terabytes of structured data generated per day and identify patterns to derive business recommendations;
- Work across a variety of problems, including model feature engineering, AB testing, fraud detection, ad optimization, budget allocation, etc
- Use the a variety of statistical and machine learning techniques to solve meaningful problems
- Explore new data sources and enhance Kayzen’s algorithmic and human capabilities
- Present and defend your findings to a wide variety of audiences within the company
Collaborating with other teams:
- Provide inputs and recommendations for our data science models and work closely with data scientists to enhance the precision of our prediction models as well as contribute to their development
- Automate data pipelines, build effective data visualizations and make them available for all teams across the company
- Work closely with our client success team to understand our clients' needs and develop ideas on how to solve them with smart data analytics
- Work closely with engineering and product and contribute in all phases of the Product Development Lifecycle
- Develop, Execute and maintain test automation scripts using Python
- Work with Big data pipelines for data profiling and sanity and develop tools to implement ETL in the big data pipeline
- Perform data verification and automate the validation from DB sources and Hadoop Environment and data workflows
- Drive improvements in the existing automation framework to improve reporting, quality and maintainability
- Debug and troubleshoot issues within the Platform engineering ecosystem
- Provide all stakeholders with appropriate regression reports in a timely manner
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
What do we need?
- Expertise in data mining, processing, modeling and data visualization and strong analytical skills
- Experience in Ad-Tech / Mar-Tech or related fields
- SQL (advanced)
- Python (intermediate)
- Experience with Business Intelligence tools: e.g. Redash, Metabase, Tableau, Looker, etc
- Experience with Big Data technologies is a plus: Spark, HDFS, Hive, etc
- Experience with Git and Airflow is a plus
- A willingness to dive deep, experiment rapidly and get things done
- A high degree of pragmatism and business outcome-driven data analysis
- Attention to detail, data accuracy, and quality of output
- Being passionate about creating great products and experiences for our customers
- High levels of creativity and quick problem-solving capabilities, a self-starter with a goal-driven focus
What do we offer?
- 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 leadership
- A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries
- A high degree of responsibility and independence with exceptional career growth
- A flexible work-from-home arrangement with a 500- dollar home office setup budget
- A 1000-dollar annual learning and development budget
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Testimony from the team (More from our Career Page here )
Mauricio- We have a super strong-learning culture here. At Kayzen people share their knowledge proactively and engage in several discussions just for the sake of knowledge sharing.
Mitali - Kayzen’s mission seemed intriguing and challenging. Working on a product that allows full transparency and control excites me.
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