(Senior) Analytics Engineer (all genders)
Berlin. Germany Remote possible.
Who We Are
For over 25 years, Native Instruments has been at the forefront of sonic innovation. Guided by our mission to inspire and enable creators to express themselves, we develop integrated audio hardware and software solutions for musicians, producers, engineers, and DJs of all genres and levels of experience.
Our Data Analytics team designs, builds and maintains data models, reports and dashboards for stakeholders throughout our organization. We manage, evaluate and mine vast volumes of web, sales, customer and usage data for information and insights to enable data-informed business choices. Our data team collaborates with all level contributors in Marketing, Product Creation and Finance on stimulating projects, transforming Native Instruments into an insights driven organization where analysis, data and reasoning are embedded in all decisions - large and small.
What You'll Do
Build and maintain data models with data-as-a-product thinking. Implement the transformations from the raw/source data into reusable release tables; Capture business requirements and translate them into technical requirements for the data models to enable self-service analytics; You will collaborate with data engineers, data analysts, data scientists and business stakeholders at different levels of seniority to implement a data strategy, scale our value-creation with data and increase the data literacy throughout our organization; Build relationships and connect with a range of internal stakeholders to create and refine the tools and processes needed to support the commercial growth of our e-commerce business; Develop self-serve data applications and dashboards using our cloud-based data platform by following software development best practices and workflows. What You'll Need
You bring previous experience within relevant Data roles, e.g. BI Developer, Data Analyst, Data Engineer or as a Data Scientist; Proven experience in data modeling and development of reusable tables that serve data applications and dashboards, preferably using dbt and following a git-based development workflow; Experience with modern data analytics tools and platforms, especially the Google stack: Google Analytics / Tag Manager / Ads, BigQuery, Data Studio; A profound knowledge of SQL is a must, any additional knowledge of Python or R is a plus; Your strong sense of ownership, and your ability to achieve high-quality results based on imperfect data; Understanding of the fundamentals of big-data management and automation of data pipelines. You are fluent in English with strong verbal and visual communication skills in order to present your findings to diverse audience groups. About Us
