Data Analyst
Amsterdam
WHAT WE ARE LOOKING FOR
Are you a data enthusiast with previous experience in data or business analytics? Do you have a practical mindset and strong business partnering skills? Are you someone who can transform a business question into a data-driven solution enabling real impact? Are you eager for an opportunity of learning more about performance-based marketing and contributing to the growth of our scale-up company? If so, we have the perfect job opportunity for you.
Job Description:
In this role, you will join our Business Intelligence team (5 people) supporting our business teams with all data related topics. Together with other Data Analysts and a Data Warehouse Specialist you work closely with Project Managers, Product Managers and Developers. You create and present reporting environments to help stakeholders taking and analysing business decisions. You proactively look for new data insights, KPIs or data structures that could provide the business with new optimization opportunities that you can flexibly test, implement and take ownership for. You will collaborate with the data team to improve the current infrastructure and to research and implement new technical integrations for our data processing activities. Next to this, you will be dealing with multiple internal stakeholders and project divisions daily and you will have the opportunity to propose and implement new predictive models, data flows, reports or automation pipelines to ensure the organization is provided with the right insights enabling business growth.
Requirements
- Bachelor or master's degree in Statistics, Mathematics, Econometrics, Business Analytics, Computer Science, Engineering, Mathematics or any related field of study.
- 3+ years of relevant work experience. Experience in an E-commerce or performance marketing environment is a plus.
- Experience with Business Intelligence tools like Power BI, Tableau or Looker.
- Technical experience working with relational databases and SQL.
- Experience using Python and building pipelines.
- Strong mathematical and statistical background.
- Experience with Cloud-based environments and ETLs (Azure, AWS, Snowflake, Redshift, etc.).
- Experience using DAX and Power Query is a plus.
- Experience implementing machine learning algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Excellent communication skills and able to present complicated concepts to stakeholders in a synthetic way.
- Self-motivated and comfortable operating in a rapidly changing environment.
- You are hands on and like to learn more about the business side.
- Able to work both independently and as a part of a team.
- Proactive attitude and eager to constantly improve yourself.
