Data Modeling Specialist
2 semanas atrás
Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere. Over 17 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.
Our CultureOur global team is united by a strong sense of community and passion for improving the digital experience of our users. Learn more about how we work, how we hire, and the benefits of being a Dashlaner in our Life at Dashlane page.
About the RoleWe are hiring an Analytics Engineer to join our team and enable our internal data users through building reliable, relevant, findable, and understandable data models. You will sit at the intersection of business teams, product and business analytics and data engineering. Your responsibilities will include bringing robust, efficient, and integrated data models to life.
You will be responsible for translating data insights and analysis needs into models that speak the language of both business and technical teams. A successful candidate should have a strong understanding of software engineering best practices and guidelines to apply them to analytics code and data model development.
Requirements- 3+ years as an data analyst, data engineer, or equivalent.
- 2+ years experience designing, implementing, operating, and extending data models.
- Demonstrated strength in SQL, ELT/ETL development, DBT and data warehousing (Redshift, Snowflake, etc.).
- Proficient in using BI tools such as Tableau/Looker/Power BI.
- Experience applying software engineering best practices and guidelines to analytics code and data model development.
- Positive and solution-oriented mindset.
You will be based in Lisbon, Portugal with a flexible hybrid work schedule and English as your working language. We offer relocation support. The estimated annual salary for this position is around €85,000, depending on your level of experience and qualifications.
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