Data Analyst

Come be a part of the Customer Success Services Analytics and Business Consulting team! We are looking for a self-motivated individual with strong data and organizational skills. Take this opportunity to join a fast-paced and growing tech company that wants you to excel in your career.  

The ideal candidate will have the aptitude to export, transform and import data, understand multiple databases, assess data quality, and deliver high quality data analytic services to our non-profit customers. We are looking for candidates to join our team who have demonstrated strong analytic abilities and excellent customer relations skills. Individuals who are quick to learn and great problem solvers thrive in this role. A positive attitude and great people skills are an added plus. 

Services Analytics is a desirable place to work with many attractive benefits. Jump start your career path with an exciting opportunity to learn about Data Analysis, fundraising, and the non-profit sector. 

What you'll do:  

• Perform prioritization of daily tasks to ensure on time file delivery and timely corrections. 

• Manage tickets using a queue process coordinating with multiple teams to ensure smooth delivery. 

• Work closely with team members, data vendors, and partners to schedule work, manage priorities, and meet deadlines for order delivery. 

• Perform back-end data imports of both Constituent records and modeling scores into Blackbaud’s ResearchPoint software for current Analytics production clients. 

• Examine import files before importing to verify that ID formats match ID formats of existing records. 

• Troubleshoot import errors within the ResearchPoint environment.  This includes using Query to review specific ID issues. 

• Use pre-programmed Python scripts to resolve data issues with import files.   

What you’ll bring: 

•  Knowledge of Analytics or Services organizations is preferred. 

• Experience with data importing and data exception analysis.  

• Experience with Python scripts a plus. 

• Comfortable working in an environment with short turnaround times. 

• Ability to self-manage workload, pulling jobs from a queue and prioritizing based on delivery dates.  

• Investigates and acts to meet internal customers’ current and future needs. 

• Experience in building positive internal customer relationships through difficult situations. 

• Effectively uses systems and processes to measure, monitor, manage, or impact performance.