Sr. Business Analyst
We are seeking an experienced Sr. Data or Business Analyst on a full-time, permanent basis for our client, a recognized and viable $350M+ organization, a leader in their vertical - nationally. The Sr. Business Analyst will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be responsible for the following:
Sr. Business Analyst Essential Duties:
- Develop data requirements to based on customer feedback and definition.
- Deliver data products in presentation format to customers.
- Work on ad-hoc data requests.
- Explain data pulls and reporting to IT and business users to validate requirements are correct and understood.
- Maintain working relationships with internal and external customers and resolve issues that may arise.
- Quarterly and monthly analysis, including variance analysis.
- Conduct projects and participate in problem solving and improvement team activities.
- Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces.
- Collaborate with clients and management to enhance the value of our products and services.
- Build cross-departmental understanding of the importance of data quality, completeness, and timeliness.
- Determine and analyze customer requirements, use system data, and provide input needed by various departments and senior management to produce business and scientific reports.
- Research and develop analysis of new product ideas.
- Operates with minimal supervision
- Bachelor’s degree.
- Working knowledge of SQL and Excel required and knowledge of VBA and statistical languages preferred.
- Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation.
- Proven ability to work independently through analysis of data to identify business trends, opportunities, and anomalies.
- Intuition for and experience with predictive modeling a plus.