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About Dashlane 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 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 role
At Dashlane we see data as a true and reliable asset: data drives decisions based on timely insights and all teams are empowered to use data in their daily work. We 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. You will be responsible for bringing robust, efficient, and integrated data models to life. You should speak the language of business teams and technical teams, able to translate data insights and analysis needs into models.
Location You will be based in Lisbon, with a flexible hybrid work schedule and English as your working language. We offer relocation support.
About our stack Data Modeling: DBT Programming language: SQL, Python, Bash Data Platform: AWS [ S3, EC2, ECS, Lambda, Kinesis, Glue & DMS], MySQL on RDS BI Tools: Tableau Orchestration: Airflow Release management and CI/CD: Gitlab Infrastructure provisioning and management: Terraform ETL and ELT Tools: Airbyte and Hightouch Logging and monitoring: ElasticSearch & AWS Cloudwatch Documentation and collaboration tooling: Confluence, Gitlab & Slack
At Dashlane you will Collaborate with data team members and data stakeholders to collect business requirements, define successful analytics outcomes, and design data models. Closely support stakeholders from Finance/Product/Engineering/Marketing/Sales/Customer Support departments and perform analytics tasks to help drive decisions and have business impact. Build trust in all interactions and with our data platform by balancing strong interpersonal skills with a strong commitment to maintaining high-quality outputs. Design, develop, and extend dbt models that support product and business decisions and data-driven innovation. Design and develop appropriate data quality tests in accordance with the existing data quality framework to ensure a high level of model quality and foster a culture of trust in data. Create and maintain models architecture and documentation. Train business users to perform basic data visualizations /analytics on BI tools. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code reviews Provide data modeling expertise through code reviews, pairing, and training to help deliver optimal, and scalable database designs and queries in AWS Redshift.
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. Preferably experienced in product and customer experience data analytics domain. Positive and solution-oriented mindset. Comfortable on working in a highly agile, intensely iterative environment. Self-motivated and self-managing, with task organizational skills. Great communication: Regularly achieve consensus amongst technical and business teams. Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely. Ability to thrive in a distributed organization. Fluent in English: verbal and written. Diversity, Equity, Inclusion and Belonging at Dashlane: As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
Your interview experience: To know what to expect once you've sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
