PROJECT SCOPE
- Collect appropriate data for analysis by connecting to various data sources and platforms, combining structured and non-structured data
- Compile and organize datasets to enable analytics, report building and ‘story telling’ of customer experience through the complaint handling processes
- Develop hypotheses regarding trends and drivers of customer feedback; execute analytical process to support/disprove and organize output into a concise and effective presentation narrative with appropriate detail and visualizations
- Lead analytical projects with solid organization and clear communication of objectives, tasks/path deliverables and timelines
- Demonstrate exceptional quality and attention to detail in building and documenting data and analytics processes and execution of rigorous validation process to ensure high levels of confidence in findings and extrapolations.
TOP SKILLS/ SOFT SKILLS
- 4+ years of SAS - ability to understand code, write new code, create/ work with predictive models (no development)
- 6+ years of SQL (Teradata / SQLServer)
- Experience optimizing SQL queries or optimizing dashboards for queries and reporting
- Experience in gathering, analyzing and interpreting large datasets
- Experience building PowerPoint presentations for senior management
- Python expertise is a plus
SOFT SKILLS
- Thought leadership
- Ability to be proactive in analytics needs and solving business problems
- Creating solutions through data
- Build relationships, communicate effectively, and consult with business partners
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
