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# Data Analyst I

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Database Queries, Python (Programming Language), Marketing Information Systems, Pivot Tables, Power BI, SQL Databases, Data Management, Tools for Reporting
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/92bf95fd-e2fb-444c-8c76-0d44a00c3282

## About the Role

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

## Description

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., 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


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