Revenue Operations Data Specialist at Protolabs

Protolabs

Minnesota·4d ago

Mid LevelFull-timeData ScienceGitGo

Salary Range

$67,400 - $89,800 /year

About the Role

We are looking for a Data Analyst to join our team at Proto Labs, a leader in digital manufacturing. This role involves analyzing sales trends, customer behavior, and business data to identify patterns and growth opportunities.

Key Responsibilities

→Data aggregation and cleansing: locate, extract, and gather data from disparate systems.
→Data Analysis: analyze sales trends and customer behavior data to identify patterns.
→Data Integrity Audits: Review the organization’s data across systems (CRM, MAP, ERP, and productivity tools) to ensure accuracy and reliability.
→Adhere to data governance policies, striving to enrich and maintain the organizations systems
→Visualized Reporting: create and maintain Go-to-Market reports and dashboards to visualize key metrics, sales performance and activities.
→Identify Trends & Growth Opportunities: monitor business trends to identify areas of exploration and improvement.
→Pro-actively dig into the data, solving business challenges using insights from our quantitative data sources
→General Sales Operations Support: Additional tasks as assigned.

Requirements

✓Bachelor’s degree in related field such as Applied Mathematics, Data Science
✓Minimum three years of related experience
✓Proficient working knowledge of common industry tools
✓CRM (Salesforce.com, Hubspot)
✓Experience with at least one BI Tool (Looker, Domo, Tableau, PowerBI, etc)
✓Microsoft Suite (Excel, Word, PowerPoint, etc)
✓Understanding of data architecture, tools like: R, Lucid Charts, Sisense, ER Studio, SQL Workbench, understanding of business metrics, with data interpretation skills.
✓Proactive mindset, highly motivated, and adaptable to change.
✓Exceptional organizational and prioritization capabilities.
✓Deep understanding of revenue operations frameworks and unified revenue strategy.
✓Project management mindset for effective ownership of multiple concurrent workstreams and initiatives.
✓Ability to influence and educate colleagues in support of standardization, optimization, and adoption.