Data Analyst

Role Overview

The Data Analyst is responsible for identifying, building, and maintaining data analytics solutions to meet the needs of business users. This role will produce analytics products by working with the business and the other data analysts to delivering outcomes of high complexity.

What You Will Do

Develop detailed and thorough source-to-target mappings in support of engineering integrations, write complex analytical queries, develop thorough data validation and quality assurance test cases, and communicate insights through data visualizations, dashboards, and reports.

Why It Might Be a Fit

The ideal candidate will have 3-5 years of Data analysis or data engineering experience, a BA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing, and strong SQL programming skills.

Requirements

• Analyze, interpret, and present data using industry relevant software
• Effective oral and written skills
• Strong SQL programming skills
• Experience with Snowflake ecosystem
• Experience with Data Vault 2.0 and Dimensional Modelling
• Familiarity with Data Lake House and Medallion architecture
• Proficiency in several areas of data modeling, statistical analysis, data engineering and data visualization
• Experience with databases and similar applications
• Teamwork skills with the ability to work in complex cross-functional settings
• Ability to work in a constantly changing work environment with multiple competing projects and priorities

Benefits

• 13 paid holidays per year
• Vacation and paid sick leave
• Flexible workweek schedules
• Professional Development: Certifications, designation, and tuition reimbursement
• Retirement Benefits: 401(k) retirement savings plan with matching company contributions
• Short-term disability and term life insurance
• Up to 12 weeks of childbirth leave
• One week of fully paid parental leave
• Health insurance options
• Health Savings Account with employer contributions
• Dental insurance
• Vision insurance
• Health club membership reimbursement
• Employee Assistance Program

Tagged as: Data Analysis