Work on a wide range of different Analytical projects across different teams in the company
Enhance data pipelines with DBT and accelerate our Analytics Engineering team with the data foundations and making them accessible in Domo / Looker with a semantic layer.
Pro-actively dig into the data, solving business challenges using insights from our quantitative data sources
Empower other teams and its analyst ambassadors with the necessary tools so they understand and analyze their core metrics
Prioritize various data requests and perform analyses on key issues to help various teams at Protolabs
Setup, maintain and improve the dashboards that are used throughout the organization
Collaborating with different teams to ensure the quality and stability of the data used to feed core metrics
Be part and engage with a super fun International data / analytics team
Requirements
2-5 years of experience in Data Analytics in a tech scale-up environment
Strong academic track record, preferably with a quantitative Masters degree
Skilled in at least SQL, Python is considered a plus
In depth experience with at least one BI Tool (Looker, Domo, Tableau, PowerBI, etc)
BONUS 1: Experience with CRM systems (Salesforce, Hubspot, Data Cloud etc.)
BONUS 2: Ambition / experience in advanced analytics to solve predictive modeling challenges
Benefits
Health Insurance: Traditional OR High Deductible plan
Flexible Spending Accounts
Health Savings Account (including employer contributions)
Dental and Vision
Basic and Supplemental Life Insurance
Short-Term and Long-Term Disability
Paid caregiver leave
3 weeks of PTO, plus Holiday Pay and Volunteer Hours
401k with company match and immediate vest
Employee Stock Purchase Program at a 15% discounted rate
Matching grants through Protolabs foundation
And More!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data AnalyticsSQLPythonDBTBusiness IntelligencePredictive ModelingData Pipeline EnhancementDashboard MaintenanceQuantitative AnalysisData Quality Assurance