Analytics Engagement Lead

Analytics Engagement Lead

Archetype’s Analytic Insights consulting practice develops insights for our customers through innovative technology solutions. Archetype sees the value in data science and self-service analytics, providing these capabilities to our customers. At Archetype, you will get to work with the best of breed products that include Snowflake, Fivetran, dbt, Tableau, ThoughtSpot, Dataiku, DataRobot and partner with our strong growing consulting team.

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

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