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- Aufgaben: Lead data strategy and architecture while driving business growth in a hands-on role.
- Arbeitgeber: Join a dynamic Series A startup revolutionizing software development with cloud-based solutions.
- Mitarbeitervorteile: Enjoy 30 days paid vacation, flexible hours, and an annual educational budget of €1800.
- Warum dieser Job: Shape the future of data strategy in a culture that values ownership and innovation.
- Gewünschte Qualifikationen: Experience in fast-growing startups with a strong background in data platforms and analytics.
- Andere Informationen: This role is perfect for those passionate about business growth, not focused on data governance.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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Direct message the job poster from Strativ Group
Role: Data Lead (Hands on and Business/Strategy focused) – Growth Team
Location: Fully Remote – Occasional Munich Meet-ups
Does working in a data-driven, Series A company where you would work directly with the COO & drive the business forward via data sound exciting? Still want to remain 90% hands on, but have a small team? Enjoy working across the full data stack? Then read on….
You would join a series A CDE who have created a cloud based solution to help technical folk create software more efficiently. Having just launched a new product, your work closely with engineering, sales and customer experience to shape ensure the full data-stack, infrastructure, and insights are fit for purpose, to drive business impact, GTM Strategy and Operational Efficiency.
The business culture thrives on ownership, so you have the opportunity to shape the data strategy + architecture, advance data maturity and grow with the business.
The role:
- Focus on a full audit of the data stack, with the view to modernise and implement quick wins
- Own Data Ingestion, Warehousing, Analytics & Visualisation with scalability, reliability + cost efficiency in mind
- Add onto self service analytics capabilities
- Data Eng Best Practises – Monitoring, Testing, Disaster Recovery, Documentation + make them scalable + reusable
- Work with GTM to track customer behaviour and lead enrichment pipelines to ensure insights are in the right places
Stack they work with: BigQuery, DBT, Segment, Prefect, Census, Mixpanel, Hex, Metabase
Yourself:
- Experience being the primary owner of a data function , in a fast-growing startup or scale-up environment
- Owned Product Data in a SAAS or Similar Environment
- Built or significantly evolved data platforms that directly supported business growth
- Track record of successfully wearing multiple hats across the data stack – from data engineering to analytics.
- Experience with modern data stack tools like dbt, Prefect, Census / other orchestration and reverse ETL tools, modern warehouses (ideally BigQuery )
- Background working with product analytics and data from multiple other first/third party data sources, experience building up a customer data platform
- Evidence of stakeholder collaboration and business impact – driving business outcomes, team enablement, or improved decision-making processes
Benefits:
- 30 days paid vacation + public holidays
- Flexible working hours – work in your productivity hours
- Annual company retreats
- Sports, Health and Well-being Stipend
- Educational Budget (€1800 per year)
- Health Insurance
- Extended paid parental leave for all parents
If you have been data hire no.1/2 in a scale-up, and can demonstrate you have significantly evolved a data function of a SaaS business, please email me directly on
Note: This role is not suited for folk heavily focused on Data Governance, Financial data etc. This is more focused on business growth.
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Information Technology
- Software Development
#J-18808-Ljbffr
Data Strategist Arbeitgeber: Strativ Group
Kontaktperson:
Strativ Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Strategist
✨Tip Number 1
Make sure to showcase your hands-on experience with the full data stack. Highlight specific projects where you’ve implemented quick wins or modernized data processes, as this aligns perfectly with what they’re looking for.
✨Tip Number 2
Demonstrate your ability to collaborate with various stakeholders. Share examples of how your data insights have driven business outcomes or improved decision-making processes, as this is crucial for the role.
✨Tip Number 3
Familiarize yourself with the specific tools mentioned in the job description, like BigQuery and dbt. If you have experience with these tools, be ready to discuss how you’ve used them to support business growth.
✨Tip Number 4
Since the company values ownership, think about how you can demonstrate your proactive approach to shaping data strategy and architecture. Prepare to discuss any initiatives you've led that contributed to data maturity in previous roles.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Strategist
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully grasp the responsibilities and expectations of a Data Strategist at Strativ Group. Highlight your experience in data functions, especially in fast-growing startups or scale-ups.
Tailor Your CV: Customize your CV to emphasize your hands-on experience with data engineering, analytics, and the specific tools mentioned in the job description, such as BigQuery, DBT, and others.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to drive business growth through data strategy. Mention any relevant achievements that align with the company's goals.
Showcase Collaboration Skills: In your application, provide examples of how you've successfully collaborated with stakeholders to drive business outcomes. This is crucial for demonstrating your fit for the role.
Wie du dich auf ein Vorstellungsgespräch bei Strativ Group vorbereitest
✨Show Your Hands-On Experience
Make sure to highlight your hands-on experience with data engineering and analytics. Discuss specific projects where you directly contributed to the data stack, showcasing your ability to wear multiple hats in a fast-paced environment.
✨Demonstrate Business Impact
Prepare examples of how your work has driven business outcomes in previous roles. Be ready to discuss how your data strategies have improved decision-making processes or enabled teams to achieve their goals.
✨Familiarize Yourself with Their Tech Stack
Research the tools mentioned in the job description, such as BigQuery, DBT, and Mixpanel. Being able to speak knowledgeably about these technologies will show that you're prepared and genuinely interested in the role.
✨Emphasize Collaboration Skills
Since the role involves working closely with various teams, be prepared to discuss your experience collaborating with stakeholders. Share specific instances where your collaboration led to successful project outcomes or enhanced team performance.
