Data Analyst

Position Title: Data Analyst

Employment Type: Direct Hire - W2, No C2C or third party vendors at this time

Location: Woodbury, MN

Work Schedule: Onsite 5 days a week

Salary Range: $80,000 - $90,000

No C2C or third-party vendors at this time

Overview:

We are seeking a passionate and motivated Data Analyst to join a dynamic and collaborative team. This position plays a key role in advancing data-informed decision-making across the organization. The ideal candidate will work on large-scale data and analytics initiatives - from data collection and transformation to analysis and visualization - providing actionable insights that drive meaningful business outcomes. This is a full-time, in-office position based in Minnesota.

Responsibilities and Duties

• Data Pipeline Management: Collect, integrate, and perform Extract, Transform, and Load (ETL) operations on large volumes of data from multiple internal and external sources to prepare for analysis.


• Data Analysis: Clean, analyze, and interpret datasets using statistical and analytical techniques to support business operations and strategic decisions.


• Reporting & Visualization: Develop and maintain dashboards, reports, and presentations that clearly communicate data insights to both technical and non-technical audiences.


• Collaboration: Partner with cross-functional teams to translate complex business questions into effective data solutions.


• Performance Measurement: Track and evaluate the outcomes of implemented recommendations, offering refinements where needed.


• Compliance & Governance: Ensure that all data collection, sharing, and analysis practices adhere to organizational policies and standards.

Qualifications and Skills

• Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.


• Experience: 2-5 years of experience in a data or business analyst role.


• Technical Expertise:
  
  
  
  • Proven experience in data analysis, visualization, and reporting.
  
  
  • Strong knowledge of statistical tools and programming languages (e.g., Python, R, SQL, Excel, Tableau, Power BI), with an ability to learn additional platforms quickly.
  
  
  • Experience handling large datasets and integrating data from multiple sources.
  
  
  
  


• Core Competencies:
  
  
  
  • Excellent problem-solving abilities and attention to detail.
  
  
  • Strong communication skills with the ability to present complex data in an accessible way.
  
  
  • Effective multitasking and project management abilities.
  
  
  • Team-oriented mindset with the ability to thrive in a fast-paced environment.
  
  
  
  

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.