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Analytics Engineer

Native Instruments

London

Remote

GBP 40,000 - 60,000

Full time

30+ days ago

Job summary

Native Instruments is seeking a Data Analyst to join our Data Analytics team in London. The successful candidate will work on diverse data projects, executing transformations and collaborating across departments. If you have strong SQL and dbt skills, along with a passion for data, we'd love to hear from you!

Benefits

Remote First work options
Flexible work model
Work remotely anywhere for up to 4 weeks per year
25 days paid holiday which increases with tenure
Healthcare contributions for dental and optical care
Pension auto enrolment scheme
Employee Assistance Program

Qualifications

  • Experience in data transformation roles is crucial.
  • Strong skills in SQL and data modeling techniques.
  • Familiarity with BigQuery or cloud-based data warehouses.

Responsibilities

  • Execute intricate data transformations using SQL and dbt strategies.
  • Construct and maintain data structures that incorporate business rules.
  • Work closely with data users to understand and address their data needs.

Skills

SQL
Data transformation
Data validation
Collaboration
Python

Tools

dbt
BigQuery
Git/GitHub
Airbyte

Job description

About Us

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.

Native Instruments embraces diversity and a respect for all people.We are proud to be an equal opportunity employer and we believe the foundation of our dynamic and pioneering spirit starts with a fair and inclusive culture. At Native Instruments we value teamwork and passion, deliver inspiring experiences, continuously innovate and empower our communities, while also serving our planet.

All applicants will receive equal consideration for employment at Native Instruments and we encourage everyone to apply - regardless of gender identity, race, color, religion, sex, sexual orientation, national origin, genetics, disability, age, or any other characteristic protected by law.

Help us reach our goal in making the future of music diverse, inclusive and exciting! We encourage you to submit your application without the requirement for a photograph, identifying factors or personal status information.

About The Team

Our Data Analytics team is on an exciting journey to build a scalable, well-structured, and high-quality data ecosystem that empowers our strategic workstreams in marketing, customer experience, product and integrations. But our impact goes far beyond that. We support a wide variety of internal teams including Finance and HR, ensuring that every part of the business has the data they need to make informed decisions.

We're in the process of standardizing our data practices, optimizing our reporting tools, and centralizing business logic, creating a huge opportunity to make a lasting impact. As part of this team, you'll have the chance to work on diverse projects, collaborate across departments, and develop expertise in modern data technologies and best practices.

Join us and expect:
  • A growing data landscape with improving data models, dashboards, and analytics workflows.
  • Broad impact, from product usage analysis to financial reporting, HR analytics, and operational insights.
  • Collaboration with Analytics Engineers, BI Developers, Data Engineers, Data Analysts, and key stakeholders.
  • Growth opportunities, including learning new tools, owning key initiatives, and contributing to long-term strategy.
If you're looking to contribute, grow, and work on diverse data challenges, join us!

Your Contribution
  • Execute intricate data transformations using SQL and advanced dbt strategies, including flexible scripting and reusable components.
  • Construct and maintain data structures that incorporate business rules, supporting diverse applications such as search indexing, product usage, e-commerce, financial tracking, and customer journey understanding.
  • Build, refine, and manage data structures within BigQuery, optimized for data-informed operations.
  • Produce clear and thorough documentation for data structures, transformations, and validation procedures.
  • Work closely with data users, BI developers, and business partners to understand and address their data needs
  • Explain technical information clearly and concisely to diverse audiences.
Our Ideal Candidate
  • Demonstrated experience in data transformation roles
  • Strong skills in SQL and established data warehousing and modeling techniques
  • Proficiency in dbt, including flexible scripting, reusable components, and modular data transformations.
  • Familiarity with BigQuery or other cloud-based data warehouses.
  • Experience ensuring data accuracy and quality, including developing and maintaining data validation procedures
  • Experience in product usage analytics
  • Experience using Git/GitHub for collaborative version control
  • Familiarity with Airbyte for data extraction and loading
  • Experience with Python to supplement SQL, dbt workflows, data processing and automation tasks
Our Benefits
  • Remote First: We offer a range of options that allow you to work in a way that suits your lifestyle, either at one of our workspaces, a hybrid arrangement, or fully remote.
  • Shared workspace in London: Landmark Spaces
  • Workation: Work remotely anywhere in the world for up to 4 weeks per year
  • Flexible work model from one of our entity locations
  • Trust-based working hours
  • Holidays: 25 days paid holiday per year which increases with tenure
  • Healthcare: Public health care with NHS supplemented with Simply Health. This involves contributions for dental and optical healthcare, for example
  • Pension: Employees can choose an auto enrolment scheme or can bring their own SIPP with them
  • Free software downloads and reduced prices on hardware
  • Employee Assistance Program for your well-being
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