Dashlane
Lead Analytics Engineer
Dashlane, New York, New York, us, 10261
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 a Lead 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 New York, with a flexible hybrid work schedule .
About our stack:Data Modeling: DBTProgramming language: SQL, Python, BashData Platform: AWS [ S3, EC2, ECS, Lambda, Kinesis, Glue & DMS], MySQL on RDSBI Tools: TableauOrchestration: AirflowRelease management and CI/CD: GitlabAt Dashlane you will:
Collaborate with data team members and data stakeholders to collect business requirements, define successful analytics outcomes, and design data modelsBuild trust in all interactions and with our data platform by balancing strong interpersonal skills with a strong commitment to maintaining high-quality outputsDesign, develop, and extend dbt models that support product and business decisions and data-driven innovationDesign 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 dataCreate 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 reviewsProvide data modeling expertise through code reviews, pairing, and training to help deliver optimal, and scalable database designs and queries in AWS Redshift.Requirements:
7+ years as an data analyst, data engineer, or equivalent, preferably with a proven track record in a B2B SaaS environment, supporting Finance and GTM stakeholders5+ years experience designing, implementing, operating, and extending data models in or with DBTWhat we're also looking for:
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.Proven track record in a B2B SaaS environment, supporting Finance and GTM stakeholdersPositive and solution-oriented mindsetComfortable on working in a highly agile, intensely iterative environmentSelf-motivated and self-managing, with task organizational skillsGreat communication: Regularly achieve consensus amongst technical and business teamsDemonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and conciselyAbility to thrive in a distributed organization.Fluent in English: verbal and written.
Salary Range:
$150,000 - $175,000
in base salary
Our salary ranges are based on paying competitively for our size and industry, and are one part of total compensation package that also includes benefits, and other opportunities at Dashlane.
Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to other Dashlaners. We expect the majority of the candidates who are offered roles at Dashlane to fall healthily throughout the range based on these factors.
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.
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 a Lead 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 New York, with a flexible hybrid work schedule .
About our stack:Data Modeling: DBTProgramming language: SQL, Python, BashData Platform: AWS [ S3, EC2, ECS, Lambda, Kinesis, Glue & DMS], MySQL on RDSBI Tools: TableauOrchestration: AirflowRelease management and CI/CD: GitlabAt Dashlane you will:
Collaborate with data team members and data stakeholders to collect business requirements, define successful analytics outcomes, and design data modelsBuild trust in all interactions and with our data platform by balancing strong interpersonal skills with a strong commitment to maintaining high-quality outputsDesign, develop, and extend dbt models that support product and business decisions and data-driven innovationDesign 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 dataCreate 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 reviewsProvide data modeling expertise through code reviews, pairing, and training to help deliver optimal, and scalable database designs and queries in AWS Redshift.Requirements:
7+ years as an data analyst, data engineer, or equivalent, preferably with a proven track record in a B2B SaaS environment, supporting Finance and GTM stakeholders5+ years experience designing, implementing, operating, and extending data models in or with DBTWhat we're also looking for:
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.Proven track record in a B2B SaaS environment, supporting Finance and GTM stakeholdersPositive and solution-oriented mindsetComfortable on working in a highly agile, intensely iterative environmentSelf-motivated and self-managing, with task organizational skillsGreat communication: Regularly achieve consensus amongst technical and business teamsDemonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and conciselyAbility to thrive in a distributed organization.Fluent in English: verbal and written.
Salary Range:
$150,000 - $175,000
in base salary
Our salary ranges are based on paying competitively for our size and industry, and are one part of total compensation package that also includes benefits, and other opportunities at Dashlane.
Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to other Dashlaners. We expect the majority of the candidates who are offered roles at Dashlane to fall healthily throughout the range based on these factors.
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.