Motion Recruitment
Data Analyst I
Motion Recruitment is hiring a Data Analyst I in Boston, MA, United States. Posted September 18, 2026.
Job at a glance
- Company
- Motion Recruitment
- Location
- Boston, MA, United States
- Pay
- $30 – $46
- Workplace
- On-site
- Sector
- Engineering & Technology
- Posted
- September 18, 2026
- Apply by
- November 22, 2026
About the job
A Boston-based higher education institution is seeking a Temporary Data Analyst to support its Annual Giving team on a contract basis. This is a fully onsite, part-time opportunity requiring 15 hours per week, with a focus on data management, reporting, audience segmentation, and marketing analytics. The ideal candidate will bring strong Microsoft Excel skills along with experience using tools such as SQL, Power BI, Salesforce Marketing Cloud, or Python. This is a great opportunity for a detail-oriented data professional who enjoys working with data that directly supports marketing and fundraising initiatives. You’ll work closely with an experienced Senior Marketing Data Analyst while gaining hands-on exposure to database management, query development, segmentation, and cross-channel campaigns. With a 15-hour workweek, this role offers a flexible way to build your analytics experience while working within a collaborative higher education environment. Contract Duration: 3 – 6 Months Required Skills & Experience · Advanced Microsoft Excel, including formulas and pivot tables
· Strong attention to detail and data accuracy
· Analytical mindset with the ability to identify trends and patterns
· Experience with data management, reporting, or analytics
· Ability to work onsite in Boston 15 hours per week Desired Skills & Experience · Salesforce Marketing Cloud
· Power BI
· SQL
· Python
· Experience with marketing, fundraising, or constituent data
· Experience with audience segmentation or campaign analytics What You Will Be Doing Tech Breakdown · 35% Microsoft Excel & Data Management
· 25% Database Queries & SQL
· 20% Marketing/Constituent Data Platforms
· 10% Power BI & Reporting
· 10% Python / Other Analytics Tools Daily Responsibilities · 40% Hands-On Data Management & Analysis
· 30% Reporting, Queries & Segmentation
· 20% Cross-Channel Data Coordination
· 10% Team Collaboration