Requirements: English
Company: Tech Rise
Region: Amsterdam , North Holland
Are you passionate about leveraging to drive meaningful insights and business decisions? Do you want to contribute to a company that helps individuals achieve their professional goals? If so, this role could be the perfect fit for you!
Your Role as a
As a , you will play a key role in shaping -driven strategies by analyzing complex sets and delivering actionable insights. Your work will directly impact product development, marketing strategies, and overall business performance. Additionally, you will help optimize internal processes and enhance platform efficiency through -driven solutions.
Key Responsibilities
- base Optimization: Design and maintain scalable base structures for analytics and insights.
- ETL Processes: Develop and manage ETL pipelines to integrate and transform from multiple sources.
- Visualization: Create interactive dashboards and reports using tools like Studio to support business decision-making.
- User Behavior Analysis: Analyze user engagement, cohort behaviors, and platform performance to improve the user experience.
- Payment Analysis: Work with payment gateway (e.g., Stripe, PayPal) to monitor subscription trends and revenue performance.
- Collaboration: Partner with cross-functional teams, including development, marketing, finance, and product, to meet needs.
- Compliance: Ensure handling aligns with GDPR and other relevant regulations.
Who You Are
You are an analytical thinker with a keen eye for detail, capable of translating raw into meaningful insights. You enjoy working collaboratively but can also drive independent projects to completion. Adaptable and curious, youre always eager to enhance your skills and contribute to a -driven culture.
Your Skills and Qualifications
Technical Skills:
- Strong proficiency in and .
- Experience with Studio, BigQuery , and other visualization tools (e.g., Tableau, Power BI).
- Hands-on experience with ETL tools like Apache Airflow, dbt, or Fivetran.
- Familiarity with analytics platforms such as Google Analytics, Mixpanel, or Amplitude.
- Experience in a SaaS environment
Education & Experience:
- Bachelor''s degree in Science, Computer Science, Statistics , or a related field.
- 35 years of experience in analysis , preferably within a SaaS or tech-driven environment.
Bonus Skills:
- Experience with machine learning, predictive analytics , or API integrations.
- Understanding of career platforms and job seeker behavior analytics .
Whats Offered
- A competitive salary based on experience.
- 25 annual leave days , including your birthday off.
- A modern office space with on-site amenities such as a gym, game room, and social areas.
- Comprehensive benefits , including meal provisions and transportation support.
- A wellness budget to support gym memberships or personal hobbies.
- Regular team activities, outings, and networking events .
- Opportunities for professional development , including certifications in tools like Studio and BigQuery.