Job Description

Archetype is seeking an Analytics Lead to work with our customers and prospects to educate them on machine learning best practices and implementation.  This role’s responsibilities include:

• Developing comprehensive analytics strategy from data acquisition through end-user, self-service analytics for our customers

• Leading data analysts, product managers, data architects and engineers to define requirements, design solutions, and build/test/deploy these solutions

• Ensuring overall customer success through strong Project and Relationship Management fundamentals

• Assisting with technical and functional skills to support end-to-end analytics across a variety of industries

• Staying up to speed on emerging technologies and dynamic in shaping our evolving approach to solving customer’s challenges

• Support sales processes by participating in scoping calls, solution design workshops, developing estimates and prototyping solutions

• Proactively identifying opportunities for upsell and account expansion

Required Qualifications: (Must Have)

• 10+ years of experience working with complex data models, in an analytics environment

• 5+ years of experience in leading enterprise data and analytics initiatives

• 3+ years managing reporting, machine learning, and/or data engineering teams

• Hands-on experience with creating measurable KPI’s and metrics

• Hands-on experience with developing management dashboards, operational reports, and exploratory insights

• Proven experience with cloud and on-premise DBMSs such as: Snowflake, RedShift, BigQuery, SQL Server, and Oracle

• Exposure to modern ETL/ELT tools such as: Fivetran, Matillion, Talend, dbt, Airflow

Preferred Qualifications: (Nice-To-Have)

• Expert customer, prospect, and vendor facing skills

• Expert project management skills: planning, resourcing, budget tracking, and status reporting

• Capable of communicating analytical and technical concepts with confidence

• Capable of presenting complex concepts in an easy-to-understand fashion

• Ability to balance diverse stakeholder perspectives and influence outcomes

• Working knowledge of multiple visualization tools such as Tableau, Looker, or Power BI

• Comfort level with SQL for data-wrangling/exploration purposes

• Knowledge of dashboard design principles, including documenting guides

• Machine learning exposure and familiarity with key concepts