Hybrid schedule: 3 in-office days, 2 remote; remote option if outside commute.
Lead client-facing analytics engagements from discovery to delivery.
Partner with Professional Services, Product, Engineering, and Customer teams.
Build dashboards and data models using BI tools and SQL environments.
Translate business problems into structured analytic approaches and present insights to leadership.

🎯 Requirements

Bachelor’s degree or higher in Math, Stats, Engineering, or related field.
5-8 years in analytics, BI, or data roles.
Prior client-facing/consulting experience preferred.
BI tools: Power BI, Sisense, Business Objects.
SQL, relational DBs; data modeling; ETL/ELT.
Cloud data: Snowflake, AWS; Salesforce; exec communication.

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