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For Companies At a Glance
- Tasks: Transform data using SQL and dbt, build data structures, and collaborate with teams.
- Company: Join Native Instruments, a leader in audio innovation for over 25 years, inspiring creators worldwide.
- Benefits: Enjoy remote work options, flexible hours, 25 days holiday, and health care perks.
- Why this job: Make a real impact on diverse projects while growing your skills in a supportive environment.
- Qualifications: Experience in data transformation, strong SQL skills, and familiarity with BigQuery and dbt required.
- Other info: Embrace a fair and inclusive culture where everyone is encouraged to apply.
The predicted salary is between 42000 - 84000 £ per year.
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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
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Industries
Real Estate, Financial Services, and Capital Markets
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Analytics Engineer employer: Native Instruments
Contact Detail:
Native Instruments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, dbt, and BigQuery. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Native Instruments on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your previous data transformation projects in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had on the business. This will demonstrate your problem-solving skills and ability to contribute effectively.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. Highlighting your ability to communicate technical information clearly to non-technical stakeholders will resonate well with the team-oriented culture at Native Instruments.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data transformation, SQL, and dbt. Use specific examples that demonstrate your skills in building and maintaining data structures, as well as any familiarity with BigQuery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it aligns with Native Instruments' mission. Mention your understanding of their diverse and inclusive culture and how you can contribute to their data ecosystem.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as experience with Git/GitHub, Python, and data validation procedures. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with various teams, emphasise any past experiences where you collaborated with different departments or stakeholders. This will show your ability to communicate technical information effectively to diverse audiences.
How to prepare for a job interview at Native Instruments
✨Showcase Your SQL Skills
As an Analytics Engineer, your proficiency in SQL is crucial. Be prepared to discuss specific projects where you've executed intricate data transformations and how you approached challenges using SQL.
✨Demonstrate Your Understanding of dbt
Familiarity with dbt is essential for this role. Highlight your experience with flexible scripting and reusable components during the interview, and be ready to explain how you've used dbt to optimise data workflows.
✨Prepare for Technical Questions
Expect technical questions related to data warehousing, BigQuery, and data validation procedures. Brush up on these topics and think of examples from your past work that illustrate your expertise.
✨Emphasise Collaboration Skills
The role involves working closely with various teams. Share examples of how you've collaborated with BI developers, data users, or business partners to address their data needs and improve processes.
