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], My SQL 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: Elastic Search & 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.