Senior Data Analyst, Vectra AI

• 3+ years of hands-on experience as an analytics engineer, data analyst, data engineer, or equivalent
• Significant experience in data modeling and data warehouse architecture
• Experience with cloud data platforms such as Snowflake, Redshift, or BigQuery
• 1+ year of hands-on experience working with dbt
• Business acumen and experience with one or more functional areas such as Product, GTM, Finance, Marketing, Customer Experience
• Exceptional verbal, written and listening skills and the ability to bring consensus and communicate with a diverse audience

Desirable

• Vectra’s Business Operations organization is responsible for operationally supporting revenue delivery and customer satisfaction across our fast-growing global customer base
• To support growth, we are looking for a Data/Analytics Engineer who can set up and run data infrastructure for all GTM data
• You will serve both as a skilled architect for the data infrastructure and as an analyst setting up business reports and dashboards for the business
• You'll be responsible for building and optimizing end to end data pipelines on modern data stack and reporting used by all parts of the business
• This role will require hiring and managing remote data management resources
• Move and transform data from various sources so that it can be easily analyzed, visualized, and acted upon by a senior data analyst or business user
• Design, build, and maintain scalable ELT pipelines using SQL and DBT. Build, automate, deploy and maintain data models and workflows. Develop and maintain documentation for data models, workflows, and processes
• Implement data quality and validation checks to ensure the accuracy and reliability of data. Implement CI/CD practices for version control and automated deployments
• Collaborate with stakeholders, collecting requirements and writing the code that results in secure, timely, accurate, trusted, and extensible data models
• Implement data quality and validation checks to ensure the accuracy and reliability of data
• Leverage tools (including Python Boto3/Botocore, Pandas) for scripting, data processing, and automation tasks in AWS Lambda. Work with AWS services such as S3, Lambda, and IAM to manage and secure data infrastructure
• Proactively perform data exploration and analytical deep dives to discover insights or future opportunities
• Deliver data insights and work towards adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations (Tableau etc.)
• Collaborate with business and data analysts to model data structures that meet business requirements