Principal Data Analyst
Confirmed live in the last 24 hours
Locations
Remote in USA • Atlanta, GA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
SQL
Tableau
Looker
Requirements
- 5+ years of analytics experience or equivalent, preferably in an operations environment, or a related degree
- 3+ years of working with customer success CX metrics/KPIs
- 3+ years managing executive level stakeholder relationships and providing executive level reporting
- 2+ years of managing data governance efforts experience in a support or financial organization
- Robust Customer Experience Metrics Best Practices knowledge
- Strong business analysis and writing skills
- Tableau Certification or Data Visualization tool Certification
- Ability to communicate and partner with both business and technical teams
- Advanced technical skills including, but not limited to, SQL, Tableau, Looker and cloud environments
- Clear understanding of statistical knowledge such as, but not limited to, A/B testing, linear regression, ANOVA
- Excellent organization skills, attention to detail and strategic mindset
- Willingness to work in a fast-paced environment
Responsibilities
- Conduct organizational, operational, financial, and analytical studies
- Be a primary contact for executive stakeholders within CCO, driving high-business initiatives and answering high-level business questions for leadership across all data verticals
- Work with various stakeholders and provide them with executive level reports that indicate the pulse and health of their line of business
- Analyze trends, provide insights and gather recommendations, narrative and statistical reports
- Develop QA processes and perform in-depth QA for CS data verticals, to ensure completeness and accuracy, while ensuring optimization techniques and practices are followed for ETLs, scripts and dashboards
- Produce ad-hoc data analysis that answers pivotal questions about the business
- Develop control structures to ensure the accuracy and quality of data through all upstream and downstream data channels
- Monitor data governance leading processes, policies and standards
- Identify process improvement opportunities for the data analytics team